The Dynamics of Aggregate Partisanship

Despite extensive research on party identification, links between partisanship at the individual and aggregate level have largely been ignored. This leaves a gap in our understanding of the dynamics of aggregate partisanship. To remedy this, we identify a set of ideal types that capture the essential arguments made about individual-level party identification. We then combine the behavioral assumptions for each type with existing results on statistical aggregation to deduce the specific temporal pattern that each type implies for aggregate levels of partisanship. Using new diagnostic tests and a highly general time series model, we find that aggregate measures of partisanship from 1953 through 1992 are fractionally integrated. Our evidence that the effects of a shock to aggregate partisanship last for years—not months or decades—challenges previous work by party systems theorists and students of “macropartisanship.†Our arguments and empirical evidence provide a conceptually richer and more precise basis for theories of issue evolution or endogenous preferences—in which partisanship plays a central role.

[1]  P. Converse,et al.  The American voter , 1960 .

[2]  D. Rivers Heterogeneity in Models of Electoral Choice , 1988 .

[3]  Ada W. Finifter,et al.  Political science : the state of the discipline , 1983 .

[4]  Robert S. Erikson,et al.  Question Wording and Macropartisanship , 1992, American Political Science Review.

[5]  Elisabeth R. Gerber,et al.  Endogenous Preferences and the Study of Institutions , 1993, American Political Science Review.

[6]  John E. Jackson,et al.  The Dynamics of Party Identification , 1983, American Political Science Review.

[7]  Walter Dean Burnham,et al.  Critical Elections: And the Mainsprings of American Politics , 1970 .

[8]  Philip E. Converse,et al.  Of Time and Partisan Stability , 1969 .

[9]  Philip E. Converse,et al.  A Dynamic Simultaneous Equation Model of Electoral Choice , 1979, American Political Science Review.

[10]  Fallaw Sowell Maximum likelihood estimation of stationary univariate fractionally integrated time series models , 1992 .

[11]  The Influence of the Economy on Party Identification in the Reagan Years , 1991, The Journal of Politics.

[12]  Christopher H. Achen Social psychology, demographic variables, and linear regression: Breaking the iron triangle in voting research , 1992 .

[13]  Edward G. Carmines,et al.  Issue Evolution: Race and the Transformation of American Politics , 1989 .

[14]  John H. Cochrane,et al.  How Big Is the Random Walk in GNP? , 1988, Journal of Political Economy.

[15]  Richard G. Niemi,et al.  The politics of future citizens , 1974 .

[16]  Benjamin I. Page,et al.  Reciprocal Effects of Policy Preferences, Party Loyalties and the Vote , 1979, American Political Science Review.

[17]  Francis X. Diebold Random walks versus fractional integration: power comparisons of scalar and joint tests of the variance-time function , 1988 .

[18]  A. Campbell Elections and the Political Order , 1968 .

[19]  H. Weisberg,et al.  Measuring Change in Party Identification in an Election Campaign , 1988 .

[20]  A. Lo Long-Term Memory in Stock Market Prices , 1989 .

[21]  Gerald H. Kramer,et al.  The Ecological Fallacy Revisited: Aggregate- versus Individual-level Findings on Economics and Elections, and Sociotropic Voting , 1983, American Political Science Review.

[22]  W. Fuller,et al.  LIKELIHOOD RATIO STATISTICS FOR AUTOREGRESSIVE TIME SERIES WITH A UNIT ROOT , 1981 .

[23]  James G. MacKinnon,et al.  Critical Values for Cointegration Tests , 1990 .

[24]  Philip E. Converse,et al.  INFORMATION FLOW AND THE STABILITY OF PARTISAN ATTITUDES , 1962 .

[25]  C. Granger Long memory relationships and the aggregation of dynamic models , 1980 .

[26]  Robert H. Durr An Essay on Cointegration and Error Correction Models , 1992, Political Analysis.

[27]  P. Abramson Generational change in American politics , 1975 .

[28]  John E. Jackson Issues, Party Choices, and Presidential Votes , 1975 .

[29]  P. Borgna,et al.  Smelser, Neil J. , 1993 .

[30]  P. Nardulli The Concept of a Critical Realignment, Electoral Behavior, and Political Change , 1995, American Political Science Review.

[31]  Jim Granato,et al.  Near-Integrated Data and the Analysis of Political Relationships , 1997 .

[32]  Donald P. Green,et al.  Of Artifacts and Partisan Instability , 1990 .

[33]  D. Runkle,et al.  Vector Autoregressions and Reality , 1987 .

[34]  J. Williams,et al.  What Goes Around Comes Around: Unit Root Tests and Cointegration , 1992, Political Analysis.

[35]  James D. Hamilton Time Series Analysis , 1994 .

[36]  Charles W. Ostrom,et al.  Error Correction, Attitude Persistence, and Executive Rewards and Punishments: A Behavioral Theory of Presidential Approval , 1992, Political Analysis.

[37]  Clive W. J. Granger Implications of Aggregation with Common Factors , 1987 .

[38]  T. Burger Max Weber's Theory of Concept Formation: History, Laws and Ideal Types , 1977 .

[39]  Charles H. Franklin,et al.  Issue Preferences, Socialization, and the Evolution of Party Identification* , 1984 .

[40]  P. Phillips,et al.  Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? , 1992 .

[41]  Charles W. Ostrom,et al.  Macropartisanship: An Empirical Reassessment , 1991, American Political Science Review.

[42]  Morris P. Fiorina,et al.  Retrospective voting in American national elections , 1981 .

[43]  Warren E. Miller Party Identification, Realignment, and Party Voting: Back to the Basics , 1991, American Political Science Review.

[44]  John H. Aldrich,et al.  Change and Continuity in the 1992 Elections , 1994 .

[45]  C. Granger,et al.  Forecasting Economic Time Series. , 1988 .

[46]  Glenn D. Rudebusch,et al.  Long Memory and Persistence in Aggregate Output , 1989, Business Cycles.

[47]  Question Form and Context Effects in the Measurement of Partisanship: Experimental Tests of the Artifact Hypothesis. , 1994 .

[48]  H. Theil,et al.  Linear Aggregation of Economic Relations. , 1955 .

[49]  J. Geweke,et al.  THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS , 1983 .

[50]  K. Janda Partisan Realignment: Voters, Parties, and Government in American History , 1982 .

[51]  Fallaw Sowell Modeling long-run behavior with the fractional ARIMA model , 1992 .

[52]  Ying-Wong Cheung,et al.  Long Memory in Foreign-Exchange Rates , 1993 .