Hostname: page-component-84b7d79bbc-dwq4g Total loading time: 0 Render date: 2024-07-26T03:11:37.074Z Has data issue: false hasContentIssue false

What Moves Macropartisanship? A Response to Green, Palmquist, and Schickler

Published online by Cambridge University Press:  01 August 2014

Robert S. Erikson
Affiliation:
University of Houston
Michael B. Mackuen
Affiliation:
University of North Carolina, Chapel Hill
James A. Stimson
Affiliation:
University of North Carolina, Chapel Hill

Abstract

Contrary to the claim by Green, Palmquist, and Schickler (1998), macropartisanship is largely shaped by presidential approval and consumer sentiment. It is not the case, however, that macropartisanship mirrors the ever-changing levels of current presidential popularity and prosperity. Rather, macropartisanship reflects the cumulation of political and economic news that shapes approval and consumer sentiment. Using ECM technology, we show that, far from being the weak force that Green et al. suggest, the cumulation of innovations in presidential approval and consumer sentiment largely account for the long-term trends in macropartisanship. For forecasting macropartisanship in the near future, it is better to predict from the fundamentals represented by the history of approval and consumer sentiment up to a given moment than from current values of macropartisanship itself.

Type
Forum
Copyright
Copyright © American Political Science Association 1998

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Banerjee, Anindya, Dolado, Juan, Galbraith, John W., and Hendry, David F.. 1993. Co-Integration, Error Correction, and the Econometric Analysis of Non-Stationary Data. Oxford: Oxford University Press.10.1093/0198288107.001.0001CrossRefGoogle Scholar
Beck, Nathaniel. 1989. “Estimating Dynamic Models Using Kalman Filtering.” Political Analysis 1:121–56.10.1093/pan/1.1.121CrossRefGoogle Scholar
Beck, Nathaniel. 1991. “Comparing Dynamic Specifications: The Case of Presidential Approval.” Political Analysis 3:5188.10.1093/pan/3.1.51CrossRefGoogle Scholar
Beck, Nathaniel. 1992. “The Methodology of Cointegration.” Political Analysis 4:237–48.10.1093/pan/4.1.237CrossRefGoogle Scholar
Box-Steffensmeier, Janet M., and Smith, Renée M.. 1996. “The Dynamics of Aggregate Partisanship.” American Political Science Review 90(September):567–80.10.2307/2082609CrossRefGoogle Scholar
Box-Steffensmeier, Janet M., and Smith, Renée M.. 1998. “Investigating Political Dynamics Using Fractional Integration Methods.” American Journal of Political Science 42(April):661–89.10.2307/2991774CrossRefGoogle Scholar
Campbell, Angus, Converse, Philip, Miller, Warren, and Stokes, Donald. 1960. The American Voter. New York: Wiley.Google Scholar
Converse, Philip E. 1976. The Dynamics of Party Support: Cohort-Analyzing Party Identification. Beverly Hills, CA: Sage.Google Scholar
Davidson, J. E. H., Hendry, David F., Srba, Frank, and Yeo, Steven. 1978. “Econometric Modeling of the Aggregate Time-series Relationship between Consumers' Expenditure and Income in the United Kingdom.” Economic Journal 88(December):661–92.CrossRefGoogle Scholar
DeBoef, Suzanna, and Granato, Jim. 1997. “Near-Integrated Data and the Analysis of Political Relationships.” American Journal of Political Science 41(April):619–40.10.2307/2111780CrossRefGoogle Scholar
Engle, Robert F., and Granger, C. W. J.. 1987. “Co-integration and Error Correction: Representation, Estimation, and Testing.” Econometrica 55(March):251–76.10.2307/1913236CrossRefGoogle Scholar
Fiorina, Morris P. 1981. Retrospective Voting in American National Elections. New Haven, CT: Yale University Press.Google Scholar
Franklin, Charles H., and Jackson, John E.. 1983. “The Dynamics of Party Identification.” American Political Science Review 77(December):957–73.10.2307/1957569CrossRefGoogle Scholar
Green, Donald Philip, and Palmquist, Bradley. 1990. “Of Artifacts and Partisan Instability.” American Journal of Political Science 34(August):872902.10.2307/2111402CrossRefGoogle Scholar
Green, Donald Philip, and Palmquist, Bradley. 1994. “How Stable Is Party Identification?Political Behavior 43(December):437–66.10.1007/BF01498826CrossRefGoogle Scholar
Green, Donald, Palmquist, Bradley, and Schickler, Eric. 1998. “Macropartisanship: A Replication and Critique.” American Political Science Review 93(December):883–99.10.2307/2586310CrossRefGoogle Scholar
Hendry, David F. 1995. Dynamic Econometrics. Oxford: Oxford University Press.10.1093/0198283164.001.0001CrossRefGoogle Scholar
MacKuen, Michael B., Erikson, Robert S., and Stimson, James A.. 1989. “Macropartisanship.” American Political Science Review 83(December):1125–42.10.2307/1961661CrossRefGoogle Scholar
MacKuen, Michael B., Erikson, Robert S., and Stimson, James A.. 1992. “Peasants or Bankers? The American Electorate and the U.S. Economy.” American Political Science Review 86(September):598611.10.2307/1964124CrossRefGoogle Scholar
Miller, Warren E., and Shanks, J. Merrill. 1996. The New American Voter. Cambridge, MA: Harvard University Press.Google Scholar
Ostrom, Charles W. Jr., and Smith, Renée M.. 1992. “Error Correction, Attitude Persistence, and Executive Rewards and Punishments: A Behavioral Theory of Presidential Approval.” Political Analysis 4:127–83.10.1093/pan/4.1.127CrossRefGoogle Scholar
Weisberg, Herbert F., and Smith, Charles E. Jr. 1991. “The Influence of the Economy on Party Identification in the Reagan Years.” Journal of Politics 53(December):1077–92.CrossRefGoogle Scholar
Wiley, David E., and Wiley, James A.. 1970. “The Estimation of Measurement Error in Panel Data.” American Sociology Review 33(January):12117.Google Scholar
Submit a response

Comments

No Comments have been published for this article.