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Preventing and Responding to Dissent: The Observational Challenges of Explaining Strategic Repression – CORRIGENDUM

Published online by Cambridge University Press:  30 April 2024

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Abstract

Type
Corrigendum
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of American Political Science Association

The authors regret the inclusion of two statistical errors in the above article. As described on page 92 of the article, we used data from the Social Conflict Analysis Database (SCAD) to operationalize, our dependent variable, Mobilized Dissent, as a count of the total number of the following events occurring in a given African province-day: organized and spontaneous demonstrations, organized and spontaneous violent riots, general and limited strikes, and other antigovernment violence. In creating this measure, we erroneously failed to include in the count instances of organized dissent, which are denoted in the Social Conflict Analysis Database (SCAD) as etype1. The results reported in Table 1 on page 94 of the above article, as well as the associated replication files originally posted on Dataverse, were estimated using the erroneous operationalization of Mobilized Dissent.Footnote 1 After correcting the operationalization of Mobilized Dissent, the revision to Table 1 is provided below. The correction does not significantly change our estimates or affect our substantive conclusions. Files to replicate these revised results are available at the APSR Dataverse (see Ritter and Monroe Reference Ritter and Monroe2024).

Table 1. The Effect of Mobilized Dissent on State Repression in African Province-Days (Revised Results)

Notes: * $ p<0.05 $ in two-tailed tests with robust standard errors reported beneath coefficients in parentheses. Parentheses on instrument statistics report their respective p-values. All analyses were estimated using Stata 13.1.

In addition, we found a coding error in the generation of our data on conflict and rainfall in the United States, as described on page 93 of the published article. More specifically, we erroneously generated a measure of Annual Rainfall, a variable in the first stage of our instrumental variable (IV) analysis, using Stata 13.1 code, gen, rather than Stata 13.1 code egen. The results reported in Table 2 on page 95 of the above article, as well as the associated replication files originally posted on Dataverse, were estimated using the erroneous operationalization of Annual Rainfall. After correcting the operationalization of Annual Rainfall, the revision to Table 2 is provided below. The correction does not significantly change our estimates or affect our substantive conclusions. Files to replicate these revised results are available at the APSR Dataverse.

Table 2. The Effect of Mobilized Dissent on State Repression in US State-Days (Revised Results)

Notes: * $ p<0.05 $ in two-tailed tests with robust standard errors reported beneath coefficients in parentheses. Parentheses on instrument statistics report their respective p-values.

Footnotes

1 We are appreciative to Avi Attar for bringing this error to our attention.

References

REFERENCES

Ritter, Emily Hencken, and Conrad, Courtenay R.. 2016a. “Preventing and Responding to Dissent: The Observational Challenges of Explaining Strategic Repression.American Political Science Review 110 (1): 8599.CrossRefGoogle Scholar
Ritter, Emily Hencken, and Monroe, Courtenay R.. 2024. “Replication Data for: Preventing and Responding to Dissent: The Observational Challenges of Explaining Strategic Repression.” Harvard Dataverse. Dataset. https://doi.org/10.7910/DVN/16VWOB.CrossRefGoogle Scholar
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Table 1. The Effect of Mobilized Dissent on State Repression in African Province-Days (Revised Results)

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Table 2. The Effect of Mobilized Dissent on State Repression in US State-Days (Revised Results)