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What candidate will fight corruption? Gender and anti-corruption stereotypes across European countries

Published online by Cambridge University Press:  12 September 2024

Monika Bauhr*
Affiliation:
Department of Political Science, University of Gothenburg, Goteborg, Sweden
Nicholas Charron
Affiliation:
Department of Political Science, University of Gothenburg, Goteborg, Sweden
Lena Wängnerud
Affiliation:
Department of Political Science, University of Gothenburg, Goteborg, Sweden
*
Corresponding author: Monika Bauhr; Email: Monika.Bauhr@pol.gu.se
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Abstract

What candidates do voters perceive as best to combat corruption? While recent studies suggest that parties recruit women in order to restore legitimacy, we know less about whether voters believe that women candidates are better equipped than male candidates to fight corruption. This study suggests that women mayors are seen as more likely to fight corruption, yet that the credibility of both male and female politicians increases if they are ascribed traits traditionally seen as ‘female,’ including being risk averse or specializing in the provision of welfare services. Leveraging the diverse levels of socio-economic development, corruption, and gender equality across 25 EU member countries, our unique conjoint experiment shows support for these claims. Both women and male candidates benefit from being described as risk averse and prioritizing social welfare issues, while outsider status has no effect. Male candidates, however, have a consistent disadvantage, particularly among women voters. Moreover, the effects of candidate gender are strongest in areas of Europe with the highest levels of political gender equality.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of European Consortium for Political Research

Introduction

Competitive elections, an institutional cornerstone of democracy, should in theory provide the most important means through which citizens can remove corrupt politicians from office and replace them with representatives more inclined to serve the public good. However, public dissatisfaction with democratic institutions and disenchantment with competitive elections can at least partly be traced to the limited supply of candidates that are seen as able to credibly fight corruption (Della Porta and Vannucci, Reference Della Porta and Vannucci2007; Persson et al., Reference Persson2013; Agerberg, Reference Agerberg2020; Vera, Reference Vera2022). Recent research suggests that voters tend to trust women candidates more than their male counterparts and perceive female candidates as less likely to be implicated in corruption scandals (Barnes and Beaulieu, Reference Barnes and Beaulieu2014, Reference Barnes and Beaulieu2019). Moreover, building on the seminal works of Swamy et al. (Reference Swamy2001) and Dollar et al. (Reference Dollar2001), a sizable literature has shown a strong association between the share of women in office and lower levels of corruption. This has been attributed not only to women being more honest, but also more risk averse and therefore less likely to engage in corruption if it risks being detected and punished (Esarey and Chirillo, Reference Esarey and Chirillo2013; Esarey and Schwindt-Bayer, Reference Esarey and Schwindt-Bayer2018). Moreover, scholars also indicate that women are, more often, marginalized outsiders with more limited opportunities to engage in corruption (Goetz, Reference Goetz2007; Bjarnegård, Reference Bjarnegård2013). With few exceptions, however, these theoretical frameworks have mainly been used to explain why women candidates are less likely to engage in or be implicated in corruption scandals rather than explaining the extent to which women are seen as ‘cleaners’ by voters – i.e., as more capable of fighting corruption, post-scandals.

Although political parties and elites sometimes strategically assume that women candidates signal honesty and trustworthiness (see Valdini, Reference Valdini2019), we know far less about the extent to which voters believe that women candidates are better suited to fight corruption. This study addresses this lacuna and investigates if women are seen as ‘cleaners’ by ordinary voters, and if so, why, across diverse political and cultural contexts. We argue that voters believe that women candidates are better suited to fighting corruption compared to male candidates. Further, the credibility of both male and female politicians increases if they are ascribed traits that scholars use to explain the advantage enjoyed by women candidates when it comes to reducing corruption, including being risk averse (Esarey and Schwindt-Bayer, Reference Esarey and Schwindt-Bayer2018; Barnes and Beaulieu, Reference Barnes and Beaulieu2019) or prioritizing the delivery of public services (Bauhr et al., Reference Bauhr2019; Reference Bauhr2024). In other words, while women candidates are generally seen as more honest and trustworthy than male candidates when it comes to fighting corruption, activating counter stereotypical traits may also improve the credibility of male candidates.

Our research design uses newly collected data from the most recent European Quality of Government Index survey fielded online, which includes 48,080 respondents across 25 EU countries (see Charron et al., Reference Charron2022), and which, therefore, expands our claims of generalizability in comparison to single-country source data. In order to elucidate causal effects, we embedded a conjoint experiment in which respondents were asked which candidate, based on a list of randomized candidate attributes such as gender, professional background (insider or outsider), personality characteristics (risk taker or cautious), and campaign issues (social welfare issues or infrastructure), along with partisan affiliation, they believed would be best to fight corruptionFootnote 1 .

With this unique experimental data, we investigate voter preferences regarding which candidates they perceive to be most likely to combat corruption in a mayoral race in their municipality. First, we investigate if women candidates, overall, have an advantage over male candidates when it comes to combatting corruption, and, if so, the extent to which this perceived advantage travels across Europe. We investigate this as expressed both through candidate preference and expressed abstention. We find that while co-partisanship is far and away the most salient factor in voter choice, there is, nonetheless, a clear and consistent effect of candidate gender, in that the respondents favor female over male candidates on the issue of fighting corruption. In addition, having two male candidates on the ballot significantly increases abstention, implying that none of the male candidates are seen as suitable when it comes to reducing corruption (Birch, Reference Birch2010; Bauhr and Charron, Reference Bauhr and Charron2018; Agerberg, Reference Agerberg2020).

Second, we investigate whether common theoretical frameworks in gender and corruption research explain the perceived female advantage for reducing corruption in the eyes of voters. We find that respondents prefer candidates that are cautious as opposed to risk-acceptant, and that issue area specialization also matters in candidate choice, but that whether a candidate is an outsider, or a well-connected politician is negligible. Interestingly, while voters prefer candidates assigned these qualities, they do so regardless of the candidate’s gender, and the ‘women’s advantage’ we found is not amplified by being assigned these characteristics. Finally, we elucidate several heterogeneous treatment effects. Our individual level interactions show that the overall preference for women candidates to fight corruption is most pronounced among women respondents. Furthermore, in looking at the effects across the diverse sample of 25 EU member states, cross-level interactions reveal that the gender (female) treatment is strongest in contexts with a higher share of women in office.

Our study thereby seeks to make several contributions. First, we seek to directly investigate if voters prefer women candidates in the aftermath of a corruption scandal. Most previous studies have focused on investigating if and why voters see women as less likely to be directly implicated in a corruption scandal (Eggers et al., Reference Eggers2018; Barnes and Beaulieu, Reference Barnes and Beaulieu2019; Wiesehomeier and Verge, Reference Wiesehomeier and Verge2020). Considering the challenges involved in initiating and implementing anti-corruption reforms (see Della Porta and Vannucci, Reference Della Porta and Vannucci2007; Persson et al., Reference Persson2013; Johnston, Reference Johnston2014; Bauhr, Reference Bauhr2017), and that fighting corruption poses different challenges compared to refraining from being implicated in a corruption scandal, investigating candidate qualities that are seen as suitable to this task is of heightened importance. Our study investigates which candidate profiles voters believe will be best equipped to fight political corruption given that it has already occurred. We propose that women candidates signal honesty and are perceived as the most trustworthy option for fighting corruption even when male candidates are assigned traits and characteristics that should help them to be perceived as anti-corruption candidates, and that the female candidate’s advantage when it comes to fighting corruption cannot be explained by only a general preference for women candidates.

Second, this paper also adds new insights into how all candidates, regardless of gender, may benefit from characteristics traditionally associated with women, such as being risk averse (Charness and Gneezy, Reference Charness and Gneezy2012) or focusing on social welfare issues (Alexander and Andersen, Reference Alexander and Andersen1993). While studies tend to place particular attention on how women candidates may or may not benefit from masculine traits (Dolan, Reference Dolan2010; Bauer, Reference Bauer2017; Bauer and Santia, Reference Bauer and Santia2022), our findings add additional evidence as to how male candidates may also benefit from stereotypically female traits when it comes to fighting corruption. This is important, since voters rely on candidate’s characteristics as heuristics for vote-choice (Popkin, Reference Popkin1991; McDermott, Reference McDermott1998; Webster and Pierce, Reference Webster and Pierce2019). In other words, our study adds new insights, both on how traditional explanations for the gender and corruption link resonates with voters in the context of fighting corruption and the extent to which these expectations are gendered.

Despite the prominence of marginalization theory in explaining why women are excluded from participating in corrupt transactions (e.g., Goetz, Reference Goetz2007; Bjarnegård, Reference Bjarnegård2013), and women being perceived as less corrupt (Barnes and Beaulieu, Reference Barnes and Beaulieu2019; Wiesehomeier and Verge, Reference Wiesehomeier and Verge2020), we suggest that outsider status is not necessarily seen as a desirable trait in an effective anti-corruption candidate. Rather, candidates that are cautious and careful and that presumably effectively manage the important risks involved in fighting corruption are seen as more effective. Furthermore, while some previous studies propose that women’s policy priorities matter for reductions in corruption levels (Alexander and Ravlik, Reference Alexander and Ravlik2015; Bauhr et al., Reference Bauhr2019; Reference Bauhr2024) our study provides unique evidence on voters linking a social welfare policy agenda to effectiveness when it comes to fighting corruption.

Finally, most previous experimental studies on voter preferences regarding corruption build on single-country studies (Incerti, Reference Incerti2020). Candidate choice experiments on gender and corruption are no exception, and most studies to date also make use of single-country cases, such as Spain (Wiesehomeier and Verge, Reference Wiesehomeier and Verge2020), the UK (Eggers et al., Reference Eggers2018), or the USA (Barnes and Beaulieu, Reference Barnes and Beaulieu2014, Reference Barnes and Beaulieu2019). Very few studies seek to compare experimental results across countries (but see Batista Pereira, Reference Batista Pereira2021; Le Foulon and Reyes-Housholder, Reference Le Foulon and Reyes-Housholder2021). This means that we, thus far, have very limited knowledge about the extent to which the preference for female candidates is generalizable across a diversity of contexts in terms of socio-economic conditions, levels of corruption, and gender equality. Such geographic diversity allows for testing for heterogeneous treatment effects via cross-level interactions across 25 EU countries.

Corruption, anti-corruption, and voter preference for women candidates

Recent experimental studies find that voters tend to prefer women political candidates, i.e., that there is a ‘pro-woman bias’ among the electorate (Aguilar et al., Reference Aguilar2015; Schwarz and Coppock, Reference Schwarz and Coppock2022).Footnote 2 An adjacent literature suggest that citizens hold gendered stereotypes (Bauer, Reference Bauer2017; Ellemers, Reference Ellemers2018; Sweet-Cushman, Reference Sweet-Cushman2022). Citizens sometimes hold stereotypes about women being more honest, compassionate, and better at dealing with education and health care, or other ‘women’s issues’, and less competent when it comes to issues such as the military, policing, and the economy (e.g., Alexander and Andersen, Reference Alexander and Andersen1993; Huddy and Terkildsen, Reference Huddy and Terkildsen1993; Dolan, Reference Dolan2010). Traditional traits and competences associated with female candidates have also been viewed as incongruent with office holding. However, as the proportion of women in politics has increased, research has started to question whether stereotypes consistently harm female candidates (Dolan, Reference Dolan2017) and suggest that parties and other elites instead seek to consciously exploit stereotypes about women being less corrupt in order to gain electoral advantage and to restore trust in the face of a corruption scandal (Funk et al., Reference Funk2021; Armstrong et al., Reference Armstrong2022).

Some studies focus directly on investigating whether voters perceive women candidates as being less involved in misconduct and corruption scandals (Barnes and Beaulieu, Reference Barnes and Beaulieu2014; Eggers et al., Reference Eggers2018; Barnes et al., Reference Barnes2018; Wiesehomeier and Verge, Reference Wiesehomeier and Verge2020; Batista Pereira, Reference Batista Pereira2021; Le Foulon and Reyes-Housholder, Reference Le Foulon and Reyes-Housholder2021). For instance, Batista Pereira (Reference Batista Pereira2021) finds that Mexican voters support women accused of corruption less than their male counterparts, while no gender differences were found in the Brazilian sample. Relatedly, Eggers et al. (Reference Eggers2018) find that male voters do not punish corrupt women more harshly in general but that women voters do so. In contrast, Le Foulon and Reyes-Housholder (Reference Le Foulon and Reyes-Housholder2021) find that voters prefer allegedly corrupt women candidates over male candidates in Uruguay, but not in the more corrupt contexts of Argentina and Chile. Interestingly, this study does not find that women candidates who have fought corruption have an advantage. Still, studies in the USA confirm that voters expect women in office to be less corrupt (Barnes and Beaulieu, Reference Barnes and Beaulieu2019) and that women candidates reduce suspicion of fraud (Barnes and Beaulieu, Reference Barnes and Beaulieu2014).

However, most studies to date investigate the extent to which voters support a woman candidate allegedly implicated in a corruption scandal. Fewer studies investigate if women are seen as political cleaners by voters, i.e., that they would also be perceived as fighting corruption levels more broadly, post-hoc. Effectively fighting corruption is, in part, different from refraining from being implicated in corruption scandals, and a candidate may therefore benefit from partly different qualities.

Furthermore, most experimental studies to date build on single-country studies (Barnes and Beaulieu, Reference Barnes and Beaulieu2014; Barnes et al., Reference Barnes2018; Eggers et al., Reference Eggers2018; Wiesehomeier and Verge, Reference Wiesehomeier and Verge2020), which make the findings less comparable across different contexts. Although some recent studies compare data from several countries (e.g., Batista Periera, 2021; Le Foulon and Reyes-Housholder, Reference Le Foulon and Reyes-Housholder2021; Schwindt-Bayer et al., Reference Schwindt-Bayer, Esarey, Schumacher, Stensöta and Wängnerud2018), experimental studies on gender and corruption follow the general approach of the wider field of candidate choice experiments (Incerti, Reference Incerti2020) and are largely single-country based, and sometimes based on convenience samples. This means that we know little about the extent to which stereotypes about women and corruption are generalizable across diverse contexts.

However, there is growing evidence on the link between a larger share of women in office and lower levels of corruption (e.g., Alexander, Reference Alexander and Bågenholm2021), and recent evidence that women in office may actually cause such a change (Esarey and Schwindt-Bayer, Reference Esarey and Schwindt-Bayer2019; Bauhr and Charron, Reference Bauhr and Charron2021). Furthermore, research indicates that some voters believe that women candidates will be less likely to be implicated in corruption scandals (Barnes and Beaulieu, Reference Barnes and Beaulieu2014; Reference Barnes and Beaulieu2019; Eggers et al., Reference Eggers2018; Wiesehomeier and Verge, Reference Wiesehomeier and Verge2020; Batista Pereira, Reference Batista Pereira2021; Le Foulon and Reyes-Housholder, Reference Le Foulon and Reyes-Housholder2021), Drawing together these insights, we hypothesize that voters also see women as being more likely to combat corruption and that this effect may at least partly travel across contexts.

Following the broader literature on corruption and electoral accountability (Davis et al., Reference Davis2004; Birch, Reference Birch2010; Sundström and Stockemer, Reference Sundström and Stockemer2015; Bauhr and Charron, Reference Bauhr and Charron2018), we propose that voter preferences can be expressed in at least two different ways, both as an active choice (voice) and as a more passive abstention (exit) from choosing any of the available candidates (cf. Hirschman, Reference Hirschman1970). How citizens express discontent with candidates has wider implications for the functioning of democratic institutions. Ideally, citizens should be able to distinguish between two candidates and decide which candidate they prefer. This would allow for the best available candidate to gain support and hopefully influence outcomes in the preferred direction. Disillusionment with the ability of any of the available candidates to deal with corruption is instead associated with resignation, alienation, and disengagement (Bauhr and Grimes, Reference Bauhr and Grimes2014; Chong et al., Reference Chong2015).

Much in line with previous work, we thus seek to investigate these two alternative responses, since they both have implications for citizens’ demand for accountability. We hypothesize that candidate gender is used by voters as a consequential heuristic for both of these electoral responses. We expect participants to prefer a female candidate over a male candidate in order to fight corruption, but also that two male candidates on the ballot will make participants more likely to perceive that neither of the available candidates will successfully fight corruption and therefore refrain from choosing any of the available candidates. This leads to the following hypotheses:

H1a) Voters are more likely to select a women candidate compared to a male candidate to combat corruption, ceteris paribus (voice).

H1b) The presence of only male candidates on the ballot will increase abstention (exit) in selecting candidates to combat corruption, ceteris paribus.

How can we understand women candidate advantage? In the following, we depart from our baseline assumption that voters simply see women as more honest and trustworthy when it comes to fighting corruption and investigate the explanatory power of three alternative theoretical frameworks: risk aversion, outsider status, and a social welfare policy profile. These are all well-established and popular explanations for the link between the share of women in office and lower levels of corruption. Drawing on documented gender differences in risk aversion (Bord and O’Connor, Reference Bord and O’Connor1997; Slovic, Reference Slovic1999; Watson and McNaughton, Reference Watson and McNaughton2007; Charness and Gneezy, Reference Charness and Gneezy2012), studies advance that the link between more women in office and lower levels of corruption may at least partly be attributed to women being more risk averse, and therefore less likely to engage in corruption, particularly if there is a risk of corruption being detected and punished (Esarey and Schwindt-Bayer, Reference Esarey and Schwindt-Bayer2018).Footnote 3 Alternatively, women candidates may have fewer opportunities to be implicated in corruption scandals since they are ‘outsiders’, who, on average, are less embedded in the collusive and often male dominated networks where corrupt transactions are made (Goetz, Reference Goetz2007; Bjarnegård, Reference Bjarnegård2013; Bauhr and Charron, Reference Bauhr and Charron2021).

Finally, building on studies that show a link between women’s descriptive representation and policy outcomes (Schwindt-Bayer, Reference Schwindt-Bayer2006; Wängnerud, Reference Wängnerud2009; Clayton, Reference Clayton2021), recent studies suggest that women’s policy priority on delivering social welfare services also contributes towards reducing corruption (Alexander and Ravlik, Reference Alexander and Ravlik2015; Bauhr et al., Reference Bauhr2019; Reference Bauhr2024; Gao and Mahutga, Reference Gao and Mahutga2023). This could partly be attributed to women constituents being disproportionately affected by dysfunctional and corruption ridden public service delivery (Kubbe and Merkle, Reference Kubbe and Merkle2021).

Building on this work, we propose three candidate characteristics that may potentially partly explain why voters prefer women: risk aversion (personality), outsider status (background), and campaigning on social welfare issues (policy priority) – and investigate the effect of activating these stereotypes on voters’ candidate preferences. We explore whether female candidate advantage persists even if male candidates are also attributed these characteristics. In other words, we seek to contrast these explanations with our baseline expectation that voters simply see women candidates as more honest and trustworthy than male candidates (cf. Dollar et al., Reference Dollar2001; Wiesehomeier and Verge, Reference Wiesehomeier and Verge2020). Thus, given the difficulties involved in investigating the honesty/trustworthy stereotype directly, we follow the approach of Wiesehomeier and Verge (Reference Wiesehomeier and Verge2020) and investigate the extent to which activating these alternative stereotypes can ‘explain away’ the general preference for women candidates.Footnote 4

Some recent experimental studies suggest that activating stereotypes about women candidate’s being risk averse or having outsider status make voters perceive women as less corrupt (Barnes et al., Reference Barnes2018; Barnes and Beaulieu, Reference Barnes and Beaulieu2019). Similarly, Wiesehomeier and Verge (Reference Wiesehomeier and Verge2020) suggest that women stand for honesty, but women candidates that are described as being as equally embedded in corruption prone networks as men are seen as just as corruptible as their male counterparts. Interestingly, male candidates may also benefit from being depicted as risk averse (Barnes and Beaulieu, Reference Barnes and Beaulieu2019). Studies also provide more indirect support for the risk aversion theory by showing that women voters punish women candidates more harshly, electorally, for engaging in corruption (Eggers et al., Reference Eggers2018). However, this does not necessarily suggest that voters perceive women as more risk averse, but rather that it is particularly risky for women candidates to be implicated in corruption scandals because they are held to higher standards.

Fewer studies investigate if women candidate advantage can be explained by a social welfare policy profile. Studies suggest that citizens are more likely to perceive that women candidates are more competent in dealing with public service provision that directly affects citizens, such as health care and education (e.g., Alexander and Andersen, Reference Alexander and Andersen1993; Huddy and Terkildsen, Reference Huddy and Terkildsen1993; Dolan, Reference Dolan2010), and that women are also more caring and have a stronger communality compared to men (Ellemers, Reference Ellemers2018).Footnote 5 We do not know, however, if campaigning on social welfare issues explains women candidate advantage in fighting corruption in the eyes of voters.

Thus, recent studies provide some direct or indirect evidence for the link between these candidate characteristics and a candidate’s expected capacity to contain corruption. Our suggested shift of dependent variable, from investigating whether candidates are seen as likely to be implicated in corruption scandals to whether candidates are seen as effective when it comes to fighting corruption more broadly, may have implications for preferred candidate characteristics. The numerous risks involved in fighting corruption are well documented (Okonjo-Iweala, Reference Okonjo-Iweala2018), not least since fighting corruption often comes at the cost of gaining powerful enemies among corrupt elites. Voters may, therefore, expect that candidates that take on this task may, in part, benefit from networks and connections to the elite if they also aim to stay in office (cf. Bauhr and Charron, Reference Bauhr and Charron2021). It is therefore far from given that voters will see risk averse candidates as more likely to fight corruption, nor that they will be seen to benefit from having outsider status. Thus, despite the prominence of marginalization theory in explaining why women are excluded from participating in corrupt transactions (e.g., Goetz, Reference Goetz2007; Bjarnegård, Reference Bjarnegård2013) and women being perceived as less corrupt (Barnes and Beaulieu, Reference Barnes and Beaulieu2019; Wiesehomeier and Verge, Reference Wiesehomeier and Verge2020), outsider status is not necessarily seen as a desirable trait for a candidate that sets out to fight corruption.

However, we anticipate that voters prefer candidates that are seen as having the right profile to enact change, but that such candidates also possess the capacity to remain in office while doing so. In other words, if voters are sensitive to the numerous insights and accounts of the important personal and political risks involved in tackling corruption (Persson et al., Reference Persson2013; Okonjo-Iweala, Reference Okonjo-Iweala2018; Bauhr and Charron, Reference Bauhr and Charron2021), and therefore expect that only candidates that are careful and cautious will be able to fight corruption effectively while also remaining in office, risk aversion can be seen as a desirable candidate trait. Furthermore, candidates that campaign on social welfare issues may be seen as more likely to combat corruption, partly because this signals a commitment to improving access to public services and caring about the welfare of citizens (c.f. Bauhr et al., Reference Bauhr2019). Expectations on the role of outsider status when it comes to explaining women candidate advantage are more mixed, however. On the one hand, an outsider may be more willing to challenge insider elites. Yet, being too much of an outsider can also impede a candidate’s capacity to challenge the status quo and also remain in office.

Thus, building on the last few decades of work on the link between gender and corruption, we investigate the extent to which the theoretical frameworks proposed by this literature contribute towards explaining voters’ perceptions of women candidate advantage in combating corruption. If this is the case, we expect the pro-woman bias to be reduced (or perhaps even disappear) when such stereotypes are activated. Conversely, if women candidates are preferred over male candidates, irrespective of what attributes a candidate is assigned on average, this would mean that these theories do not fully explain the advantage of women candidates. Given important evidence on voters perceiving women candidates to be generally more honest and trustworthy, we expect that these frameworks may not necessarily fully explain women candidate advantage.

Thus, we hypothesize:

H2a) The preference for women candidates over male candidates decreases if both candidates are depicted as risk averse as opposed to risk takers.

H2b) The preference for women candidates over male candidates decreases if both candidates are depicted as specializing in social welfare issues as opposed to other political issues.

H2c) The preference for women candidates over male candidates decreases if both candidates are depicted as being less networked outsiders as opposed to insiders.

A sizable literature also propounds that voter stereotypes and expectations about women candidates may vary across contexts as well as respondents. The positive effects of elected bodies more closely mirroring the population from which they are drawn has been widely observed (Phillips, Reference Phillips1998; Mansbridge, Reference Mansbridge1999) and studies suggest that women’s descriptive representation can improve perceptions of women’s ability to govern (Alexander, Reference Alexander2012). Furthermore, although findings are somewhat mixed, several studies confirm that women show a stronger aversion towards corruption than men (see Swamy et al., Reference Swamy2001; Torgler and Valev, Reference Torgler and Valev2010; Rivas, Reference Rivas2013). Relatedly, recent studies investigating gender differences in voter responses to corruption find that women are more likely to refrain from voting for a party and candidate involved in corruption scandals (Alexander et al., Reference Alexander2020). Studies also show that women voters, in particular, may have higher standards for female candidates (Eggers et al., Reference Eggers2018).

Drawing from this literature, we anticipate that women citizens may be more likely to perceive and prefer women candidates as ‘cleaners’. Furthermore, we also anticipate this effect to be particularly strong in contexts of greater political gender equality, where citizens would also be more likely to see women as possessing the necessary characteristics to effectively enact change. Although the notion of whether a critical mass of women is needed for women to effectively enact policies has been debated for decades (Childs and Krook, Reference Childs and Krook2006; Funk et al., Reference Funk2022), voters in contexts where there is a higher share of women representatives may be less likely to hold stereotypical perceptions of women being unfit for leadership or unable to enact change, i.e., to be independent agents rather than token women. Studies also advise that higher gender equality may be associated with larger gender differences in preferences and values (Schwartz and Rubel-Lifschitz, Reference Schwartz and Rubel-Lifschitz2009; Falk and Hermle, Reference Falk and Hermle2018). It is also possible that citizens that live in contexts with a higher share of women representatives may have more experiences with women acting with integrity, and therefore expect more of women candidates.Footnote 6 Thus, building on this previous work, we hypothesize that women voters and voters in contexts of higher gender equality will be more likely to believe that women candidates will combat corruption.

H3a) Compared with male voters, women voters prefer women candidates on the issue of fighting corruption to a larger degree.

H3b) Voters are most likely to select a women candidate compared to a male candidate to fight corruption in areas where political gender equality is high.

Data and experimental design

The three hypotheses are tested using recently collected data from the European Quality of Government Index (EQI) Survey (see Charron et al., Reference Charron2022). The survey was launched in October 2020 and concluded in the first week of February 2021 in all EU27 countries. A total of 129,991 respondents from all EU-27 member countries were included, with 50% being randomly selected and administered by computer assisted telephone interviews (CATI), while the other 50% responded via online administration, with our study using only the online sample (see Table A1 in the online Appendix for the full list and sample size by country). The survey’s main purpose is to gauge citizen attitudes about their local public services (such as health care and education) and the degree to which they rate them as high quality and administered with impartiality and low corruption. There are also a number of questions about citizens’ experiences with corruption, as well as some questions on elections and their own personal partisan preferences, along with standard demographic questions.

We embedded a conjoint survey experiment following the main EQI questions. For practical purposes, the experiment was only given to the online respondents, where a total of 48,080 completed the survey and answered the conjoint experiment without a ‘don’t know’ response, and each respondent was given the experiment twice, equaling 96,160 observations in our main analysis. Smaller countries Malta and Cyprus are not included in our analyses, thus our analyses have up to 25 EU member countries. As online respondents self-select into the survey, they tend to over-sample higher educated and younger respondents, inter alia (see Pew Research, 2018). However, treatment effects between online, convenience and randomly drawn, nationally representative samples tend to be similar (Coppock, Reference Coppock2019). In addition, the EQI’s target sample is between 500–600 respondents at the NUTS 1 and NUTS 2 regional (sub-national) levels within countries,Footnote 7 and thus respondents from less populated, rural regions have a much higher probability of being included in the survey compared with respondents from urban regions. We thus employ post-stratification and design weights, which adjust differences between the sample and population by gender, age, education and regional population. More on the survey and the respondents can be found in the online Appendix.

The research design employs a dual profile conjoint experiment (Hainmueller et al., Reference Hainmueller2014). Similar to a factorial vignette, the experiment allows researchers to identify causal effects of several variables of interest concurrently and has been used in several recent publications on the effects of corruption on voting preferences (e.g., Breitenstein, Reference Breitenstein2019; Agerberg, Reference Agerberg2020; Mares and Visconti, Reference Mares and Visconti2020). A key difference in our approach is that rather than testing the degree to which corruption matters in candidate choice by randomizing the presence or absence of a scandal in the candidate profiles, we imply to the respondents that the corruption scandal has already occurred, which allows us to focus on which candidates are most stereotypically seen as cleaners. The respondents are presented with two different mayoral candidate profiles, from which they are asked which candidate they perceive would be best able to combat corruption in their municipality. The question reads as the following:

Finally, let’s say that two politicians in a city or town similar to yours are running Footnote 8 for city mayor, and there have been several recent corruption scandals. The election is close and these are the only candidates with a chance to take office. Based on what you see below, which of these candidates do you believe would be best to reduce municipal level corruption?

The candidate profiles consisted of six different factors. The first was the candidate’s gender, male or female. We randomize three factors to capture the mechanism elucidated from the literature – risk aversion, issue specialization, and insider/outsider status. Admittedly, these are not straightforward concepts to operationalize, yet we take a pragmatic approach and make simple binary or categorical variables to capture these concepts to provide respondents with simple contrasts, to test effects from these factors. The ‘risk aversion’ mechanism is operationalized on a line labeled ‘personality type’ in the conjoint set up, where we randomize two traits ‘cautious and careful’ and ‘willing to take risks’. The insider/outsider mechanism is captured on a line titled ‘background’, where a candidate is randomly assigned either ‘well-connected politician’ or ‘political outsider’. As per the issue specialization factor, we randomly assign each candidate with one of four main issues on the line ‘main election issue’ – education, health care, infrastructure or economic development.

Additionally, we include two other factors. The first is candidate age, for which we limit variation to just three years – 51, 52 and 53Footnote 9 – as we are less interested in this factor. The final factor is the one in which the literature on corruption and voting highlights as most salient – that of partisanship (Anduiza et al., Reference Anduiza2013; Eggers, Reference Eggers2014). We include a randomized list of the largest 2–5 parties in each country and assign them randomly to each candidate. We then take advantage of the respondent’s previous answer on the question of which party they would support ‘if the election were held today’ and create a variable for a ‘partisan match’ – whereby the variable equals ‘1’ if the candidate belongs to the party that the respondent claimed to support, and ‘0’ if otherwise. This allows us to compare the magnitude of the effects of candidate gender to the most salient heuristic on which voters rely. The full visual of the conjoint table is found in the Appendix, section 2.

With this test, whether gender has an independent effect on candidate choice given these three factors, along with partisanship, are simultaneously accounted for and thus we can compare the relative effects across all treatments simultaneously. The outcome question distinguishes between ‘voice’ (selecting one of the available candidates, H1a) and ‘exit’ (refraining from selecting any of the available candidates, H1b, c.f. Hirschman, Reference Hirschman1970; Bauhr and Charron, Reference Bauhr and Charron2018). We argue that allowing respondents to abstain from choosing any of the candidates is a more realistic scenario and provides more valid estimates (see Haaijer et al., Reference Haaijer2001; Agerberg, Reference Agerberg2020 for more on this point). In the sample, 34.2% selected ‘candidate a’, 34.6% selected ‘candidate b’ while 31.2% selected ‘neither’. The survey was run twice for each respondent, randomizing the candidate profiles each time.

Our empirical strategy of the main conjoint experiment is to estimate the average marginal component effect (AMCE) of the quantities of interest (de la Cuesta et al., Reference De la Cuesta, Egami and Imai2022). The AMCE is conceptually similar to the average treatment effect (ATE) and provides the causal effect of a single candidate characteristic, while averaging over the remaining characteristics. Our estimation relies on the assumptions of the AMCE, which are that there are a) no carryover effects across profiles, b) no profile order effects, and c) profiles are completely and independently randomized (Hainmueller et al., Reference Hainmueller2014). To mitigate any biases from violations for the latter two assumptions, we randomized the ordering of the candidate attributes, and an algorithm was used to completely randomize candidate profiles across and within respondents. While some critique the use of the aggregated AMCE in analyzing electoral preferences in conjoint experiments (Abramson et al., Reference Abramson, Koçak and Magazinnik2022), we are not interested in the electoral results per se, but about anti-corruption stereotypes among the general population. Thus, for H1a and H1b, the AMCE is the best available estimand. H2–H3 require additional estimation over the AMCE.

The additional advantages of this design are that we can estimate two types of interaction effects that are of interest to our theoretical propositions. One, we can estimate the average component interaction effect (ACIE), which tests whether the causal effect of one attribute (in our case candidate gender) varies based on other characteristics, for example a candidate’s background or personality type. In this case, we specify interactions between candidate characteristics of interest to test H2. Two, to test H3 we rely on the conditional AMCE (Hainmueller et al., Reference Hainmueller2014), in which we are interested in the interaction between fixed respondent characteristics (their own gender) and randomized candidate characteristics.

Results

Candidate sex and vote choice: H1a

We begin by testing H1, whether respondents on average favor female candidates when it comes to reducing corruption levels, all things being equal. We first estimate the model by including all candidate A and B characteristics simultaneously, and run a multinomial logit regression, with candidate B as the baseline outcome. The full results can be found in Appendix, section 2, Table A2.Footnote 10 For purposes of presentation, we use a simple binary dependent variable with the outcome being ‘1’ vote for candidate A and ‘0’ if vote for B (or for hypothesis H1b ‘1’ for abstention and ‘0’ for vote for either candidate), and estimate the causal effects of the candidate characteristics using a linear probability model to elucidate marginal effects. The results are nonetheless very similar to the multinomial estimation and are summarized in Figure 1.Footnote 11

Figure 1. Treatment effects on choosing candidate A – marginal means.

Note: Dots show the average marginal component effect (AMCE) of the ‘candidate A’ via marginal means (MM) from Logit estimation, whereby the difference in predicted probability for the various treatments (x-axis) represents the AMCE. The baseline support for ‘candidate A’ is 0.339 is highlighted via the dashed vertical line. All candidate B characteristics are also included in the model along with age (not shown). Issue: ‘Inf’ = infrastructure, ‘Edc’ = education, ‘E.D.’ = economic development, ‘H.C.’ = health care. 48,080 individuals and 96,160 total profiles analyzed. Estimates adjusted for design and post-stratification weights and standard errors are clustered by respondent.

Figure 1 above summarizes the results and shows the relative magnitude of each of the candidate characteristics. We observe several interesting findings: First, as expected from the literature and clear in our results, partisanship is the most salient factor in a respondent’s choice. When the candidate’s party is the same as the respondent’s preferred party, this increases the probability that the respondent will choose that candidate by over 40% – that is to say respondents go from roughly a 29% chance of selecting ‘candidate A’ to 70%; which is a similar magnitude to the effect of party identification found in experimental studies in the USA among partisans (Bonneau and Cann, Reference Bonneau and Cann2015). Clearly overall, voters believe their own party is best equipped to combat corruption relative to other parties. Yet despite the large effect of partisanship, we still observe an independent effect of candidate gender in the model. When a candidate is presented as a female (compared with a male), the respondent is roughly 3% more likely to choose that candidate, all things being equal. Thus, the results provide initial empirical evidence for H1.

Moreover, Figure 1 shows that among the other mechanisms, we find support for our contention that voters prefer a candidate that is ‘careful and cautious’ over one that is a risk taker when it comes to reducing corruption levels. Additionally, we see that issues that candidates specialize in also play a role in guiding voters to determine which candidate might be best suited to combat corruption. The results show that when candidates run on infrastructure (‘Inf.’), they are least preferred by respondents, possibly due to the perceived opportunities for corruption in local infrastructure spending. However, while economic development (‘E.D.’) is the most preferred by respondents, respondents believe that candidates that specialize on heath care (‘H.C.’) and also, but to a somewhat lesser extent, education (‘Edc.’), are better at reducing corruption levels. Finally, presenting a candidate as a political outsider relative to a connected insider,Footnote 12 does not affect a respondent’s choice.

Candidate sex and voter abstention: H1b

Our next hypothesis deals with whether the candidate’s sex affects respondents’ choice to abstain from electing a candidate altogether. In this case, we shift our dependent variable to the ‘exit’ or ‘abstain’ option and collapse the candidate gender options into three groups – 1) two males, 2) split gender, 3) two females. We anticipate that seeing two males on the ballot will reduce turnout compared with the other constellations of candidate sex.

Figure 2 elucidates our findings. We find that respondents are significantly more likely to abstain only when two male candidates are shown, and that rates of predicted abstention are equal for one or two females. We interpret this as a small, but significant ‘male penalty’ that voters have against candidates in the face of a corruption scandal, demonstrating support for H1b.

Figure 2. Candidate sex and abstention.

Note: Dots show the predicted probabilities of Abstention from Logit estimation with 95% confidence intervals. All candidate A and B characteristics are also included in the model (not shown). 48,080 individuals and 96,160 total profiles analyzed. Estimates adjusted for design and post-stratification weights and standard errors are clustered by respondent.

Risk-aversion, outsider status and prioritizing social welfare issues: testing H2

To test our second set of hypotheses, we begin with a series of interaction terms between the gender of the candidate and each of the three variables capturing the mechanisms (ACIE). Building on three broad theoretical frameworks derived from the larger literature on the gender corruption link-outsider status, risk aversion and prioritizing social welfare policy, we are interested in whether the gender gap decreases or persists when a candidate is assigned these traits and if candidates ascribed these traits are preferred among the electorate. The findings are presented in Figure 3 for the main interactions of interest: those between candidate’s sex, and the three mechanisms of personality, insider/outsider background and election issue. In this case, we provide marginal means (Leeper et al., Reference Leeper2020), where the level of support for males (blue triangles) and females (black circles) are shown over the range of attributes across the other three variables from three separate interaction models. The horizontal dashed line represents the mean level of support for ‘candidate A’ compared with the other two alternatives.

Figure 3. Marginal mean plot of ACIEs – summary of H2.

Note: Blue triangle and black circles represent male and female candidates respectively with 95% confidence intervals from respondent-clustered standard errors. Estimates from three separate interaction models with candidate gender – (1) personality type, (2) background status, (3) campaign issue. Dashed line represents the mean, baseline support for ‘candidate A’ (0.3405). Design and post-stratification weights are included.

Overall, we find no significant two-way interaction terms, meaning that respondents prefer females over males at a consistent rate across all values of the other variables in the model on average, which is clearly shown in Figure 3. Thus, contrary to H2 a–c, the gender gap persists despite the activation of these candidate traits, suggesting that they cannot explain women candidate advantage when it comes to fighting corruption and also providing strong, albeit indirect, support for our contention that women are simply seen as more honest and trustworthy. The analysis also shows that respondents on average prefer more cautious candidates, and those who do not campaign on infrastructure regardless of the gender of the candidate, while insider/outsider is negligible. However, irrespective of what other attributes a candidate is assigned, we observe a significant ‘female advantage’ in all cases compared with the hypothetical male one; the gender gap favoring the female candidate is roughly 3% across all attributes.Footnote 13 Thus, the ‘female advantage’ is not washed away by ascribing a female candidate any of the above characteristics.

Heterogeneous treatment effects by respondent gender: testing H3a

We now move to testing whether the treatment items in the conjoint experiment have varying effects based on respondent characteristics. Namely, we are interested in whether female respondents respond differently to the various treatments compared with males in our survey, since previous studies find gender differences in perceptions of candidates (e.g., Eggers et al., Reference Eggers2018). We are therefore interested in this case in the conditional ACME, and include standard age, education and population of residence when estimating interactions with a respondent’s gender.

Figure 4 summarizes our findings from several interaction models of interest.Footnote 14 To investigate the effect of the respondent’s gender for H3a, we simultaneously interact respondent’s gender with each of the treatments to test whether females are more inclined to support certain types of candidates to combat corruption relative to males. In our first model, we find that while both male and female respondents prefer a hypothetical female candidate over a male one, the treatment effect is three times larger among females than among males (0.046 compared with 0.015, P = 0.001). Thus, the findings show that the conditional effect is largely driven by the fact that female respondents are simply less inclined to support male candidates. Similarly, in model 2, we find that both females and males prefer candidates that are ‘cautious’ compared with ‘risk takers’ on average, yet the effect of this personality distinction is only significant among females (0.023, P < 0.05). Thus, in models 1 and 2, females respond more strongly to the candidate attributes of sex and personality more so than male respondents. Both interactions are statistically significant at the 0.05 threshold.

Figure 4. Conditional treatment effects by respondent’s gender – marginal means.

Note: Predicted probability of ‘voting candidate A’ shown on the x-axis, with 95% confidence intervals from respondent-clustered standard errors. Results from interaction models, with marginal mean plots by respondent gender. Design and post-stratification weights are included.

The interaction model shows no conditional treatment effect regarding outsiders or insiders. However, with respect to the issue specialization, we do find mainly consistent treatment effects for both female and male respondents. Females, however, only respond negatively to ‘infrastructure’ as an issue compared to the other three, while male respondents favor candidates who run on health care and economic development when considering combating corruption, compared with education and infrastructure.

Are the effects driven by context of gender equality? Testing H3b

As noted in the hypothesis, we anticipate that the effect of female candidacy will be strongest in areas where the levels of political gender equality are highest, both because more women in office may improve citizens’ beliefs in women’s ability to govern (Alexander, Reference Alexander2012) and because citizens in these contexts may share beliefs and experiences of women’s capacity to enact integrity reforms. To test H3b empirically, we thus ran several cross-level interactions with candidate gender and variables that serve to proxy for contextual political gender equality, including share of women in sub-national parliaments. As political gender equality varies significantly within countries, we report the cross-level interaction with the sub-national measure to account for the within-country variation of the moderating variable and to increase the number of second-level observations in the model from 25 countries to 200Footnote 15 .

Figure 5 reports the results of the interaction model, whereby we highlight the preference for ‘candidate A’ on the y-axis as a function of the randomized gender of candidate interacted with the proportion of female MPs in sub-national, regional parliaments as a moderating variable (x-axis). In this case, we observe clear moderating effects of gender equality; where female representation is low – roughly less than 20% – there is no observable effect of candidate gender on voter’s preferences to combat corruption. This constitutes approximately 19% of the sample. Yet at 20% of female representation and higher, there is a significant difference in line with H1 whereby respondents prefer female candidates over male ones. At the highest levels of gender equality there is a roughly 5.1%-point difference in the preference for female candidates over male ones.

Figure 5. Women’s representation and preferences for women candidates.

The results in Figure 5 are robust to the alternative measure of female share of MPs in national parliaments (Figure A2) as well as alternative estimation methods such as hierarchical estimation whereby we specify random regional intercepts and random slope for the candidate gender variable. In Figure A3, we show the AMCE test of H1 by country to further elucidate the degree of context-level effects of the main variable. In sum, we find that respondents prefer women candidates across most countries studied, yet that the effect is insignificant in some of the smaller countries in our sample. In no case do we find that respondents in any country significantly prefer male candidates over females to fight corruption.

Anti-corruption, or simply a preference for female candidates in general?

While our results support the main hypotheses, one might question whether the observed findings are simply driven by a general preference for female candidates. In order to investigate whether our results are driven by a general ‘pro-women bias’ (Aguilar et al., Reference Aguilar2015; Schwarz and Coppock, Reference Schwarz and Coppock2022) rather than a preference for women candidates when it comes to corruption specifically, we provided an alternative, more neutral question framing to 25% of the sample in countries with a sufficient number of respondents.Footnote 16 The alternative framing inquired only about candidate preference in a mayoral election, and there were no mentions of corruption or corruption scandals (i.e., the phrase ‘and there have been several recent corruption scandals’ is taken out.) Full results of this analysis are reported in Appendix Table A4 and Figure A1. In general, we find some evidence for a general pro-woman bias in our sample. However, the significant interaction term (P = 0.03) indicates that the ‘female effect’ is roughly 2.3 times larger (0.034 versus 0.015) when corruption is specified, compared with voting in general, which supports the notion of a female ‘cleaner’ stereotype in response to corruption. Thus, our results cannot exclusively be explained by a preference for women candidates in general. In terms of the other attributes concerning H2, we do however find that the respondents prefer cautious candidates versus risk-taking candidates, and dislike infrastructure as an issue compared to the others in general, across both treatment groups.

Conclusions and discussion

This study investigates voters’ perceptions of women candidate advantage in fighting corruption. Using a unique conjoint experiment fielded in 25 European countries, with 48,080 respondents, we investigate if voters believe that women candidates will fight corruption across diverse political and cultural contexts. We elucidate three main findings. First, we find clear and consistent support for our contention that women mayors are seen as more likely to fight corruption compared to male mayors. Notably, voters express support for women candidates as corruption fighters, both by selecting women candidates for this task (voice) and by refraining from selecting any candidate if there are only two males on the ballot (exit). Women candidates obtain roughly 3% greater support from voters, and this support cannot be explained by a preference for women candidates in general. Second, while activating stereotypes about risk aversion and social welfare policy priority leads to greater electoral support in general, outsider status has no effect, on average. Interestingly, however, women candidates do not benefit more than male candidates from being assigned these traits, and women candidates are seen as the preferred anti-corruption fighters regardless. Third, while voters across Europe find that women are the better choice when it comes to fighting corruption, effects are more pronounced among women voters (cf. Eggers et al., Reference Eggers2018; Barnes and Beaulieu, Reference Barnes and Beaulieu2019) and in contexts where the share of women representatives is relatively large.

Overall, we find that voters prefer women candidates when it comes to fighting corruption, and that this effect is particularly strong among female respondents. In looking at ‘ideal types,’ we find that women candidates, described as cautious and careful and specializing in improving public service delivery and the economy, are preferred over male candidates that are risk takers or who specialize in infrastructure. Naturally, one caveat in this study is that one can certainly question whether a response to a hypothetical question such as the one used here translates into the real world (Incerti, Reference Incerti2020). While there is some evidence that conjoint survey experiments compare relatively well with real world behavior (Hainmueller et al., Reference Hainmueller2015), which speaks to the external validity of our study, we are indeed most interested in voter stereotypes, for which we believe this hypothetical question provides an ideal setting. On that note, it is also worth highlighting that our study is about voter perceptions of desirable candidate characteristics, and that these perceptions do not necessarily predict actual candidate effectiveness when it comes to combating corruption. Consequently, our study suggests several interesting avenues for future research. Follow-up studies could include developing new experiments, varying the type of manipulationFootnote 17 or studying how actual candidate characteristics have implications for their effectiveness in fighting corruption.

Our findings have several implications for our understanding of voter preferences for women candidates and the credibility of anti-corruption candidates more broadly. Our study highlights important new insights into how theoretical frameworks typically used to explain the link between women in office and lower levels of corruption, resonate with voters. Voters generally prefer candidates that are cautious and careful, as opposed to risk takers, and who focus on social welfare issues. Potentially, this reflects that voters are sensible to the important personal and political risks involved in fighting corruption or implementing other important changes while also remaining in office (Bauhr and Charron, Reference Bauhr and Charron2021). Interestingly, while some studies suggest that women’s focus on social welfare issues can contribute towards explaining why women candidates reduce corruption (Alexander and Ravlik, Reference Alexander and Ravlik2015; Bauhr et al., Reference Bauhr2019; Gao and Mahutga, Reference Gao and Mahutga2023), our study also provides micro level evidence that voters prefer candidates with this policy profile, in particular compared with candidates that focus on infrastructure, which has been notoriously exposed to corruption risks (OECD, 2016; Bauhr et al., Reference Bauhr, Czibik, de Fine Licht and Fazekas2020).

Ultimately, our study suggests that voters perceive women candidates as more honest and trustworthy when it comes to actively fighting corruption, and not only as a candidate that should refrain from being implicated in scandals. This is amplified by female voters and in areas with greater levels of gender equality. Our results have implications for our understanding of voters’ expectations of women candidates, since most previous studies focus on voter punishment of allegedly corrupt women candidates (Eggers et al., Reference Eggers2018; Barnes and Beaulieu, Reference Barnes and Beaulieu2019; Wiesehomeier and Verge, Reference Wiesehomeier and Verge2020; Batista Pereira, Reference Batista Pereira2021). If women are also preferred as anti-corruption fighters, this may add to the electoral advantage of women candidates, but also potentially to the challenges that women candidates face in meeting voter expectations.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/S1755773924000134

Funding statement

Our study is funded by the Swedish Research Council (no. 2019-02636), the European Commission, DG Regio [no. 2019CE160AT022], RJ sabbatical (SAB20-0064), and Wenner-Grenstiftelserna (SSv2020-0004).

Footnotes

1 We also include candidate age. However, since we are not interested in varying age but just used this factor to make the candidate profile seem more credible, we used a proxy for ‘most common’ age of a standard politician in Europe and constrained the age range to these.

2 This suggests, in turn, that women’s underrepresentation may be restricted by factors other than voter preferences and stereotypes (Brooks, Reference Brooks2013; Dolan, Reference Dolan2017).

3 While findings on women’s risk aversion are somewhat mixed (Nelson, Reference Nelson2015), this stereotype may still resonate with voters.

4 An alternative approach could be to directly seek to activate an honesty stereotype (see Barnes and Beaulieu, Reference Barnes and Beaulieu2019), yet we perceive that this direct approach would be very difficult to plausibly pursue in our setting. In current European politics a candidate that explicitly depicts him or herself as being “honest” could easily connote the opposite in the eyes of voters. We speculate that a candidate that is, on the other hand, depicted (by the experimenter or otherwise) as honest would seem almost tautological, since it is difficult to imagine why voters would believe that a dishonest candidate would be more likely to combat corruption.

5 An adjacent literature also suggests that women’s descriptive representation is associated with higher budget priority for spending in the welfare sector (Bolzendahl, Reference Bolzendahl2009; Watson and Moreland, Reference Watson and Moreland2014; Ennser-Jedenastik, Reference Ennser-Jedenastik2017; De Siano and Chiariello, Reference De Siano and Chiariello2022), and extensions of public services to areas such as childcare provision (Bratton and Ray, Reference Bratton and Ray2002).

6 We thank one of our anonymous reviewers at EPSR for pointing this out to us.

7 NUTS is a geographical statistical classification of the European Union and stands for ‘Nomenclature of territorial units for statistics’. For more, see: https://ec.europa.eu/eurostat/web/nuts/background

8 In some countries, mayors are not directly elected, and thus the phrasing ‘being considered’ was used.

9 We used the average age of MPs in the EU Parliament in the past two mandate periods as a proxy for ‘most common’ age of a standard politicians in Europe, which was 50 and 53 respectively, and constrained the age range to these: https://www.europarl.europa.eu/topics/en/article/20190705STO56305/facts-and-figures-the-european-parliament-s-new-term.

10 For our initial multinomial logit models, the tests for the Independence of Irrelevant Alternatives (IIA) were mixed, where our models violated the IIA with the Suest tests yet did not reject the null hypothesis via the Small-Hsiao test.

11 In addition, we check the degree to which our outcome variables vary systematically at the country-level via an empty, hierarchical model. The Interclass Correlation Coefficient (ICC) reveals that just 0.3% of the unexplained variation is at the country level, which implies that there are no systematic differences in selecting the first candidate across countries. In addition, we replicated the main Figure 1 above and Table A2 in the Appendix including country fixed effects and find that results remain substantively unchanged.

12 The lack of expected results could be due to some respondents associating ‘outsider’ with the more high-profile, populist/anti-democratic type of politicians such as Donald Trump, Jair Bolsonaro, or Silvio Berlusconi.

13 We also investigate if co-partisanship matters for citizens’ preference for women candidates when it comes to fighting corruption. These results are shown in Appendix 5, Figure A3. We find that the positive effects of female candidacy are nearly twice as large when the respondent and candidate are not co-partisans, yet even among co-partisans we see a roughly 2% positive effect of female candidacy. We thank one of our anonymous reviewers at the EPSR for raising this question.

14 Again, we run a multinomial logit model with our three outcomes and then produced the predicted probabilities of voting for candidate A or not. We report the LPM results in the main text with the full results in the Appendix, Table A3.

15 Sub-national measure of female members of regional parliaments is captured at the 2nd tier region of each country and aggregated to the NUTS 2 level when necessary. Variable is at NUTS 1 in Germany and Belgium. Examples of within-country variation of the variable include differences in high-low regions in Italy (Emilia-Romagna 40% vs. Calabria 6.5%) Germany (Hamburg 45% vs. Sachsen-Anhalt 21.8%) and Greece (Athens 42.5% vs. Anatoliki Makedonia, Thraki 4%).

16 This is in addition to the aforementioned sample in previous results; thus, the number of individual respondents and total observations equals 57,777 and 115,554 respectively for these robustness analyses.

17 An interesting follow up study would also be to investigate other candidates’ characteristics, such as age or ethnicity, in the context of fighting corruption. While all forms of manipulations risk introducing bias, it may also be interesting to triangulate our results using, for example, candidate names or pictures.

References

Abramson, Scott F., Koçak, Korhan, and Magazinnik, AsyaWhat Do We Learn about Voter Preferences from Conjoint Experiments?American Journal of Political Science 66.4 (2022): 10081020.Google Scholar
Agerberg, Mattias. “The Lesser Evil? Corruption Voting and the Importance of Clean Alternatives.” Comparative Political Studies 53.2 (2020): 253287.Google Scholar
Aguilar, Rosario, et al.Choice Sets, Gender, and Candidate Choice in Brazil.” Electoral Studies 39 (2015): 230242.Google Scholar
Alexander, Amy C.Change in Women’s Descriptive Representation and the Belief in Women’s Ability to Govern: A Virtuous Cycle.” Politics & Gender 8.4 (2012): 437464.Google Scholar
Alexander, Amy C., et al.Are Women More Likely to Throw the Rascals Out? The Mobilizing Effect of Social Service Spending on Female Voters.” Public Choice 184 (2020): 235261.Google Scholar
Alexander, Amy C.Gender, Gender Equality, and Corruption: A Review of Theory and Evidence.” In Bågenholm, A., et al (Eds.), The Oxford Handbook of the Quality of Government. Oxford: Oxford University Press, 2021.Google Scholar
Alexander, Amy C., and Ravlik, Maria “Responsiveness to Women’s Interests as a Quality of Government Mechanism: A Global Analysis of Women’s Presence in National Legislatures and Anti-trafficking Enforcement.” In American Political Science Association’s Annual Meeting, San Francisco, 2015.Google Scholar
Alexander, Deborah, and Andersen, Kristen. “Gender as a Factor in the Attribution of Leadership Traits.” Political Research Quarterly 46 (1993): 527545.Google Scholar
Anduiza, Eva, et al.Turning a Blind Eye: Experimental Evidence of Partisan Bias in Attitudes Toward Corruption.” Comparative Political Studies 46.12 (2013): 16641692.Google Scholar
Armstrong, Brenna, et al.Corruption, Accountability and Women’s Access to Power.” Journal of Politics 84.2 (2022): 12071213.Google Scholar
Barnes, Tiffany, et al.Restoring Trust in the Police: Why Female Officers Reduce Suspicions of Corruption.” Governance 31.1 (2018): 143161.Google Scholar
Barnes, Tiffany, and Beaulieu, Emily. “Gender Stereotypes and Corruption: How Candidates Affect Perceptions of Election Fraud.” Politics & Gender 10.3 (2014): 365391.Google Scholar
Barnes, Tiffany, and Beaulieu, Emily. “Women Politicians, Institutions, and Perceptions of Corruption.” Comparative Political Studies 52.1 (2019): 134167.Google Scholar
Batista Pereira, Frederico. “Do Female Politicians Face Stronger Backlash for Corruption Allegations? Evidence from Survey-Experiments in Brazil and Mexico.” Political Behavior 43 (2021): 15611580.Google Scholar
Bauer, Nicole M.The Effects of Counterstereotypic Gender Strategies on Candidate Evaluations.” Political Psychology 38.2 (2017): 279295.Google Scholar
Bauer, Nicole M., and Santia, Martina. “Going Feminine: identifying How and When Female Candidates Emphasize Feminine and Masculine Traits on the Campaign Trail.” Political Research Quarterly 75.3 (2022): 691705. https://doi.org/10.1177/10659129211020257 Google Scholar
Bauhr, Monika. “Need or Greed? Conditions for Collective Action Against Corruption.” Governance 30.4 (2017): 561581.Google Scholar
Bauhr, Monika, et al.Exclusion or Interests? Why Females in Elected Office Reduce Petty and Grand Corruption.” European Journal of Political Research 58.4 (2019): 10431065.Google Scholar
Bauhr, Monika, et al.Will Women’s Representation Reduce Bribery? Trends in Corruption and Public Service Delivery Across European Regions.” Political Behavior (2024): 124. https://doi.org/10.1007/s11109-024-09925-xGoogle Scholar
Bauhr, Monika, and Charron, Nicholas. “Insider or Outsider? Grand Corruption and Electoral Accountability.” Comparative Political Studies 51.4 (2018): 415446.Google Scholar
Bauhr, Monika, and Charron, Nicholas. “Will Women Executives Reduce Corruption? Marginalization and Network Inclusion.” Comparative Political Studies 54.7 (2021): 12921322.Google Scholar
Bauhr, Monika, Czibik, Ágnes, de Fine Licht, Jenny, and Fazekas, Mihaly. “Lights on the Shadows of Public Procurement: Transparency as an Antidote to Corruption.” Governance 33.3 (2020): 495523. https://doi.org/10.1111/gove.12432 Google Scholar
Bauhr, Monika, and Grimes, Marcia. “Indignation or Resignation: The Implications of Transparency for Societal Accountability.” Governance 27.2 (2014): 291320.Google Scholar
Birch, Sarah. “Perceptions of Electoral Fairness and Voter Turnout.” Comparative Political Studies 43.12 (2010): 16011622.Google Scholar
Bjarnegård, Elin. Gender, Informal Institutions and Political Recruitment: Explaining Male Dominance in Parliamentary Representation. London: Palgrave Macmillan, 2013.Google Scholar
Bolzendahl, Catherine. “Making the Implicit Explicit. Gender Influences on Social Spending in Twelve Industrialized Democracies, 1980–99.” Social Politics 16.1 (2009): 4081.Google Scholar
Bonneau, Chris W., and Cann, Damon M.. “Party Identification and Vote Choice in Partisan and Nonpartisan Elections.” Political Behavior 37.1 (2015): 4366.Google Scholar
Bord, Richard J., and O’Connor, Robert E.. “The Gender Gap in Environmental Attitudes: The Case of Perceived Vulnerability to Risk.” Social Science Quarterly 78 (1997): 830840.Google Scholar
Bratton, Kathleen A., and Ray, Leonard P.. “Descriptive Representation, Policy Outcomes, and Municipal Day-Care Coverage in Norway.” American Journal of Political Science 46.2 (2002): 428437.Google Scholar
Breitenstein, Sofia. “Choosing the Crook: A Conjoint Experiment on Voting for Corrupt Politicians.” Research & Politics 6.1 (2019): 2053168019832230.Google Scholar
Brooks, Deborah. J. He Runs, She Runs: Why Gender Stereotypes do not Harm Women Candidates. Princeton: Princeton University Press, 2013.Google Scholar
Charness, Gary, and Gneezy, Uri. “Strong Evidence for Gender Differences in Risk Taking.” Journal of Economic Behaviour & Organization 83.1 (2012): 5058.Google Scholar
Charron, Nicholas, et al.Change and Continuity in Quality of Government: Trends in subnational quality of government in EU member states.” Journal of Regional Research 2022.53 (2022): 523.Google Scholar
Childs, Sarah, and Krook, Mona Lena. “Should Feminists Give Up on Critical Mass? A Contingent Yes.” Politics & Gender 2.4 (2006): 522530.Google Scholar
Chong, Alberto, et al.Does Corruption Information Inspire the Fight or Quash the Hope? A Field Experiment in Mexico on Voter Turnout, Choice, and Party Identification.” The Journal of Politics 77.1 (2015): 55.Google Scholar
Clayton, Amanda. “How Do Electoral Gender Quotas Affect Policy?Annual Review of Political Science 24.1 (2021): 235252.Google Scholar
Coppock, Alexander. “Generalizing from Survey Experiments Conducted on Mechanical Turk: A Replication Approach.” Political Science Research and Methods 7.3 (2019): 613628.Google Scholar
Davis, Charles L., et al.The Influence of Party Systems on Citizens’ Perceptions of Corruption and Electoral Response in Latin America.” Comparative Political Studies 37.6 (2004): 677703.Google Scholar
De la Cuesta, Brandon, Egami, Naoki, and Imai, Kosuke. “Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution.” Political Analysis 30.1 (2022): 1945.Google Scholar
De Siano, Rita, and Chiariello, Valentina. “Women’s Political Empowerment and Welfare Policy Decisions: A Spatial Analysis of European Countries.” Spatial Economic Analysis 17.1 (2022): 101126.Google Scholar
Della Porta, Donatella, and Vannucci, Alberto. “Corruption and Anti-Corruption: The Political Defeat of ‘Clean Hands’ in Italy.” West European Politics 30.4 (2007): 830853.Google Scholar
Dolan, Kathleen. “The Impact of Gender Stereotyped Evaluations on Support for Women Candidates.” Political Behavior 32.1 (2010): 6988.Google Scholar
Dolan, Kathleen. “Gender Stereotypes, Candidate Evaluations, and Voting for Women Candidates: What Really Matters?Political Research Quarterly 67.1 (2017): 96107.Google Scholar
Dollar, David, et al.Are Women Really the Fairer Sex? Corruption and Women in Government.” Journal of Economic Behavior and Organization 26.4 (2001): 423429.Google Scholar
Eggers, Andrew C.Partisanship and Electoral Accountability: Evidence from the UK Expenses Scandal.” Quarterly Journal of Political Science 9.4 (2014): 441472.Google Scholar
Eggers, Andrew C., et al.Corruption, Accountability, and Gender: Do Female Politicians Face Higher Standards in Public Life?Journal of Politics 80.1 (2018): 321326.Google Scholar
Ellemers, Naomi. “Gender Stereotypes.” Annual Review of Psychology 69.1 (2018): 275298.Google Scholar
Ennser-Jedenastik, Laurenz. “How Women’s Political Representation Affects Spending on Family Benefits.” Journal of Social Policy 46.3 (2017): 563581.Google Scholar
Esarey, Justin, and Chirillo, Gina. ““Fairer Sex” or Purity Myth? Corruption, Gender and Institutional Context.” Politics & Gender 94 (2013): 361389.Google Scholar
Esarey, Justin, and Schwindt-Bayer, Leslie. “Women’s Representation, Accountability and Corruption in Democracies.” British Journal of Politics 48.3 (2018): 659690.Google Scholar
Esarey, Justin, and Schwindt-Bayer, Leslie. “Estimating Causal Relationships Between Women’s Representation in g Government and Corruption.” Comparative Political Studies 52.11 (2019): 17131741.Google Scholar
Falk, Armin, & Hermle, Johannes. “Relationship of Gender Differences in Preferences to Economic Development and Gender Equality.” Science 362.6412 (2018): eaas9899. https://doi.org/10.1126/science.aas9899 Google Scholar
Funk, Kendall D., et al.Women to the Rescue: The Gendered Effects of Public Discontent on Legislative Nominations in Latin America.” Party Politics 27.3 (2021): 465477.Google Scholar
Funk, Kendall D., et al.Point Break: Using Machine Learning to Uncover a Critical Mass in Women’s Representation.” Political Science Research and Methods 10.2 (2022): 372390.Google Scholar
Gao, Manjing, and Mahutga, Matthew C.. “Women’s Political Representation and Corruption. The Role of Social Spending.” Sociology of Development 9.3 (2023): 217241.Google Scholar
Goetz, Anne Marie. “Political Cleaners: Women as the New Anti-Corruption Force?Development and Change 38.1 (2007): 87105.Google Scholar
Haaijer, Rinus, et al.The “No-Choice” Alternative in Conjoint Choice Experiments.” International Journal of Research in Marketing 43 (2001): 93106.Google Scholar
Hainmueller, Jens, et al.Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices Via Stated Preference Experiments.” Political Analysis 22.1 (2014): 130.Google Scholar
Hainmueller, Jens, et al.Validating Vignette and Conjoint Survey Experiments Against Real-World Behavior.” Proceedings of the National Academy of Sciences 112.8 (2015): 23952400.Google Scholar
Hirschman, Albert O. Exit, Voice, and Loyalty: Responses to Decline in Firms, Organizations, and States (Vol. 25). Harvard: Harvard University Press, 1970.Google Scholar
Huddy, Leonie & Terkildsen, Nayda. “Gender Stereotypes and the Perception of Male and Female Candidates.” American Journal of Political Science 37 (1993): 119147.Google Scholar
Incerti, Trevor. “Corruption Information and Vote Share: A Meta-Analysis and Lessons for Experimental Design.” American Political Science Review 114.3 (2020): 761774.Google Scholar
Johnston, Michael. Corruption, Contention, and Reform. The Power of Deep Democratization. New York: Cambridge University Press, 2014.Google Scholar
Kubbe, Ina, and Merkle, Ortrun. Norms, Gender and Corruption: Understanding the Nexus. Cheltenham, UK: Edward Elgar, 2021.Google Scholar
Le Foulon, Carmen, and Reyes-Housholder, Catherine. “Candidate Sex, Corruption and Vote Choice.” Electoral Studies 69 (2021): 102270.Google Scholar
Leeper, Thomas J., et al.Measuring Subgroup Preferences in Conjoint Experiments.” Political Analysis 28 2 (2020): 207221.Google Scholar
Mansbridge, Jane. “Should Blacks Represent Blacks and Women Represent Women? A Contingent” Yes”.” The Journal of Politics 61.3 (1999): 628657.Google Scholar
Mares, Isabela, and Visconti, Giancarlo. “Voting for the Lesser Evil: Evidence from a Conjoint Experiment in Romania.” Political Science Research and Methods 8.2 (2020): 315328.Google Scholar
McDermott, Monika. “Race and Gender Cues in Low-Information Elections.” Political Research Quarterly 51 (1998): 895918.Google Scholar
Nelson, Julie A.Are Women Really More Risk-Averse Than Men? A Re-Analysis of the Literature Using Expanded Methods.” Journal of Economic Surveys 29.3 (2015): 566585.Google Scholar
OECD. Preventing Corruption in Public procurement, 2016. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/ https://www.oecd.org/gov/ethics/Corruption-Public-Procurement-Brochure.pdf. Accessed May 31 2024.Google Scholar
Okonjo-Iweala, Ngozi. Fighting Corruption is Dangerous. The Story Behind the Headlines. Cambridge, MA: MIT Press, 2018.Google Scholar
Persson, Anna, et al.Why Anticorruption Reforms Fail—Systemic Corruption as a Collective Action Problem.” Governance 26.3 (2013): 449471.Google Scholar
Pew Research Center “For Weighting Online Opt-In Samples, What Matters Most?”, 2018.Google Scholar
Phillips, Anne. The Politics of Presence. Oxford: Oxford University Press, 1998.Google Scholar
Popkin, Samuel. The Reasoning Voter: Communication and Persuasion in Presidential Campaigns. Chicago and London: University of Chicago Press, 1991.Google Scholar
Rivas, M. Fernanda. “An Experiment on Corruption and Gender.” Bulletin of Economic Research 65.1 (2013): 1042.Google Scholar
Schwartz, Shalom H., and Rubel-Lifschitz, Tammy. “Cross-National Variation in the Size of Sex Differences in Values: Effects of Gender Equality.” Journal of Personality and Social Psychology 97 (2009): 171187.Google Scholar
Schwarz, Susanne, and Coppock, Alexander. “What Have We Learned About Gender From Candidate Choice Experiments? A Meta-analysis of 67 Factorial Survey Experiments.” The Journal of Politics 84.2 (2022): 655668.Google Scholar
Schwindt-Bayer, Leslie A.Still Supermadres? Gender and the Policy Priorities of Latin American Legislators.” American Journal of Political Science 50.3 (2006): 570585.Google Scholar
Schwindt-Bayer, Leslie, Esarey, Justin, and Schumacher, Erika. “Gender and Citizen Responses to Corruption among Politicians: The U.S. And Brazil.” In Stensöta, H., and Wängnerud, L. (Eds.), Gender and Corruption: Historical Roots and New Avenues for Research (pp. 5483). Basingstoke: Palgrave Macmillan, 2018.Google Scholar
Slovic, Paul. “Trust, Emotion, Sex, Politics, and Science: Surveying the Risk-Assessment Battlefield.” Risk Analysis 19 (1999): 689701.Google Scholar
Sundström, Aksel, and Stockemer, Daniel. “Regional Variation in Voter Turnout in Europe: The Impact of Corruption Perceptions.” Electoral Studies 40 (2015): 158169.Google Scholar
Swamy, Anand, et al.Gender and Corruption.” Journal of Development Economics 64.1 (2001): 2555.Google Scholar
Sweet-Cushman, Jennie. “Legislative vs. Executive Political Offices: How Gender Stereotypes Can Disadvantage Women in Either Office.” Political Behavior 44.1 (2022): 411434.Google Scholar
Torgler, Benno, and Valev, Neven T.. “Gender and Public Attitudes Toward Corruption and Tax Evasion.” Contemporary Economic Policy 28.4 (2010): 554568.Google Scholar
Valdini, Melody E. The Inclusion Calculation: Why Men Appropriate Women’s Representation. Oxford: Oxford University Press, 2019.Google Scholar
Vera, Sofia. B.How Does Clarity of Alternatives Affect the Electoral Fortune of Corrupt Politicians?Electoral Studies 77 (2022): 102476.Google Scholar
Wängnerud, Lena. “Women in Parliaments: Descriptive and Substantive Representation.” Annual Review of Political Science 12 (2009): 5169.Google Scholar
Watson, David, and Moreland, Amy. “Perceptions of Corruption and the Dynamics of Women’s Representation.” Politics & Gender 10.3 (2014): 392412.Google Scholar
Watson, John, and McNaughton, Mark. “Gender Differences in Risk Aversion and Expected Retirement Benefits.” Financial Analysts Journal 63.4 (2007): 5262.Google Scholar
Webster, Steven W., and Pierce, Andrew W.. “Older, Younger, or More Similar? The Use of Age as a Voting Heuristic.” Social Science Quarterly 100.3 (2019): 635652.Google Scholar
Wiesehomeier, Nina, and Verge, Tania. “Corruption, Opportunity Networks, and Gender. Stereotypes of Female Politicians’ Corruptibility.” Public Opinion Quarterly 84.2 (2020): 538550.Google Scholar
Figure 0

Figure 1. Treatment effects on choosing candidate A – marginal means.Note: Dots show the average marginal component effect (AMCE) of the ‘candidate A’ via marginal means (MM) from Logit estimation, whereby the difference in predicted probability for the various treatments (x-axis) represents the AMCE. The baseline support for ‘candidate A’ is 0.339 is highlighted via the dashed vertical line. All candidate B characteristics are also included in the model along with age (not shown). Issue: ‘Inf’ = infrastructure, ‘Edc’ = education, ‘E.D.’ = economic development, ‘H.C.’ = health care. 48,080 individuals and 96,160 total profiles analyzed. Estimates adjusted for design and post-stratification weights and standard errors are clustered by respondent.

Figure 1

Figure 2. Candidate sex and abstention.Note: Dots show the predicted probabilities of Abstention from Logit estimation with 95% confidence intervals. All candidate A and B characteristics are also included in the model (not shown). 48,080 individuals and 96,160 total profiles analyzed. Estimates adjusted for design and post-stratification weights and standard errors are clustered by respondent.

Figure 2

Figure 3. Marginal mean plot of ACIEs – summary of H2.Note: Blue triangle and black circles represent male and female candidates respectively with 95% confidence intervals from respondent-clustered standard errors. Estimates from three separate interaction models with candidate gender – (1) personality type, (2) background status, (3) campaign issue. Dashed line represents the mean, baseline support for ‘candidate A’ (0.3405). Design and post-stratification weights are included.

Figure 3

Figure 4. Conditional treatment effects by respondent’s gender – marginal means.Note: Predicted probability of ‘voting candidate A’ shown on the x-axis, with 95% confidence intervals from respondent-clustered standard errors. Results from interaction models, with marginal mean plots by respondent gender. Design and post-stratification weights are included.

Figure 4

Figure 5. Women’s representation and preferences for women candidates.

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