Hostname: page-component-6b989bf9dc-6f5p8 Total loading time: 0.001 Render date: 2024-04-14T18:46:17.977Z Has data issue: false hasContentIssue false

Using Ecological Inference Point Estimates as Dependent Variables in Second-Stage Linear Regressions

Published online by Cambridge University Press:  04 January 2017

Michael C. Herron
Affiliation:
Department of Political Science, Northwestern University, Scott Hall, 601 University Place, Evanston, IL 60208-1006. e-mail: m-herron@northwestern.edu
Kenneth W. Shotts
Affiliation:
Department of Political Science, Northwestern University, Scott Hall, 601 University Place, Evanston, IL 60208-1006. e-mail: k-shotts@northwestern.edu

Abstract

The practice of using point estimates produced by the King ecological inference technique as dependent variables in second-stage linear regressions leads to second-stage results that, in general, are inconsistent. This conclusion holds even when all assumptions behind King's ecological technique are satisfied. Second-stage inconsistency is a consequence of the fact that King-based point estimates of disaggregated quantities contain errors correlated with the true quantities the estimates measure. Our findings on second-stage inconsistency, as well as a fix that we propose, follow from econometric theory in conjunction with an analysis of simulated and real ecological data sets.

Type
Using EI in Second-Stage Regressions
Copyright
Copyright © Political Methodology Section of the American Political Science Association 2003 

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

Achen, Christopher H., and Phillips Shively, W. 1995. Cross-Level Inference. Chicago: University of Chicago Press.Google Scholar
Bekker, Paul, Kapteyn, Arie, and Wansbeek, Tom. 1987. “Consistent Sets of Estimates for Regressions with Correlated or Uncorrelated Measurement Errors in Arbitrary Subsets of All Variables.” Econometrica 55(5): 12231230.Google Scholar
Benoit, Kenneth, Gianetti, Daniela, and Laver, Michael. 2000. “Strategic Voting in Mixed-Member Electoral Systems: The Italian Case.” Paper presented at the Annual Meeting of the American Political Science Association, Washington, DC.Google Scholar
Burden, Barry C., and Kimball, David C. 1997. “Breaking Up Isn't So Hard to Do: Ecological Inference and Split-Ticket Voting in the 1988 Presidential Election.” Paper presented at the Annual Meeting of the Midwest Political Science Association, Chicago.Google Scholar
Burden, Barry C., and Kimball, David C. 1998. “A New Approach to the Study of Ticket Splitting.” American Political Science Review 92:533544.Google Scholar
Burden, Barry C., and Kimball, David C. 2002. Why Americans Split Their Tickets: Campaigns, Competition, and Divided Government. Ann Arbor: University of Michigan Press.Google Scholar
Cho, Wendy K. Tam, and Gaines, Brain J. 2000. “Reassessing the Study of Split-Ticket Voting.” Working paper, University of Illinois.Google Scholar
Cohen, Jonathan, Kousser, Thad, and Sides, John. 1999. “Sincere Voting, Hedging, and Raiding: Testing a Formal Model of Crossover Voting in Blanket Primaries.” Paper presented at the Annual Meeting of the American Political Science Association, Atlanta, GA.Google Scholar
Freedman, D. A., Klein, S. P., Ostland, M., and Roberts, M. R. 1998. “On ‘Solutions’ to the Ecological Inference Problem.” Journal of the American Statistical Association 93:15181522.Google Scholar
Freedman, D. A., Ostland, M., Roberts, M. R., and Klein, S. P. 1999. “Response to King's Comment.” Journal of the American Statistical Association 94:355357.CrossRefGoogle Scholar
Gay, Claudine. 2001. “The Effect of Black Congressional Representation on Political Participation.” American Political Science Review 95:589602.Google Scholar
Greene, William H. 1997. Econometric Analysis, 3rd ed. Upper Saddle River, NJ: Prentice Hall.Google Scholar
Herron, Michael C., and Shotts, Kenneth W. 2002. “Logical Inconsistency in King-Based Ecological Regressions.” Paper presented at the Annual Meeting of the Society for Political Methodology, Seattle, WA.Google Scholar
Hill, Kevin A. 1999. “Are Majority-Minority Districts ‘Rotten Boroughs’? Turnout, Polarized Voting, and Competitiveness in the 1996 House Elections.” Paper presented at the Annual Meeting of the Southwestern Political Science Association, San Antonio, TX.Google Scholar
Johnson, Normal L., Kotz, Samuel, and Balakrishnan, N. 1994. Continuous Univariate Distributions, Vol. 1, 2nd ed. New York: John Wiley & Sons.Google Scholar
Kimball, David C., and Burden, Barry C. 1998. “Seeing the Forest and the Trees: Explaining Split-Ticket Voting within Districts and States.” Paper presented at the Annual Meeting of the American Political Science Association, Boston, MA.Google Scholar
King, Gary. 1997. A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data. Princeton, NJ: Princeton University Press.Google Scholar
King, Gary. 1999. “The Future of Ecological Inference Research: A Reply to Freedman et al.” Journal of the American Statistical Association 94:352355.Google Scholar
Kousser, Thad. 2002. “Crossing Over When It Counts: How the Motives of Voters in Blanket Primaries Are Revealed by their Actions in General Elections.” In Voting at the Political Fault Line: California's Experiment with the Blanket Primary, eds. Cain, Bruce E. and Gerber, R. Berkeley: University of California Press, pp. 213245.Google Scholar
Lewis, Jeffrey B. 2000. “Two-Stage Approaches to Regression Models in Which the Dependent Variable Is Based on Estimates.” Working paper, Princeton University.Google Scholar
Lublin, David, and Stephen Voss, D. 2002. “Context and Francophone Support for Sovereignty: An Ecological Analysis.” Canadian Journal of Political Science 35:75101.CrossRefGoogle Scholar
McCue, Kenneth F. 2001. “The Statistical Foundations of the EI Method.” American Statistician 55(2): 106110.Google Scholar
Rivers, Douglas. 1998. “Review of ‘A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data.’” American Political Science Review 92:442.Google Scholar
Robinson, William S. 1950. “Ecological Correlation and the Behavior of Individuals.” American Sociological Review 15:351357.Google Scholar
Tam, Wendy K. 1998. “Iff the Assumption Fits …: A Comment on the King Ecological Inference Solution.” Political Analysis 7:143163.Google Scholar
Voss, D. Stephen, and Lublin, David. 1998. “Ecological Inference and the Comparative Method.” APSA-CP: Newsletter of the APSA Organized Section in Comparative Politics 9(1): 2531.Google Scholar
Voss, D. Stephen, and Lublin, David. 2001. “Black Incumbents, White Districts: An Appraisal of the 1996 Congressional Elections.” American Politics Research 29:141182.Google Scholar
Voss, D. Stephen, and Miller, Penny. 2000. “The Phantom Segregationist: Kentucky's 1996 Desegregation Amendment and the Limits of Direct Democracy.” Working paper, University of Kentucky.Google Scholar
Wolbrecht, Christina, and Kevin Corder, J. 1999. “Gender and the Vote, 1920-1932.” Paper presented at the Annual Meeting of the American Political Science Association, Atlanta, GA.Google Scholar
Supplementary material: File

Herron and Shotts supplementary material

Supplementary Material

Download Herron and Shotts supplementary material(File)
File 135 KB