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A Propensity Score Reweighting Approach to Estimating the Partisan Effects of Full Turnout in American Presidential Elections

  • Thomas L. Brunell (a1) and John DiNardo (a2)

Abstract

Borrowing an approach from the literature on the economics of discrimination, we estimate the impact of nonvoters on the outcome of presidential elections from 1952–2000 using data from the National Election Study (NES). Our estimates indicate that nonvoters are, on average, slightly more likely to support the Democratic Party. Of the 13 presidential elections between 1952 and 2000 we find no change in the eventual outcome of the election with two possible exceptions: 1980 and 2000. Thus our results are not all that dissimilar from other research on participation. Higher turnout in the form of compulsory voting would not radically change the partisan distribution of the vote. When elections are sufficiently close, however, a two percentage point increase may suffice to affect the outcome. Limitations of the NES data we use suggest that our estimates underestimate the impact of nonparticipation. We also compare our method with other econometric techniques. Finally, using our findings we speculate as to why the Democratic Party fails to undertake widespread “get out the vote” or registration drives.

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Acemoglu, Daron, and Robinson, James A. 2003. “Democratization.” In The Political Origins of Dictatorship and Democracy. Unpublished.
Ashenfelter, Orley, and Oaxaca, Ronald L. 1987. “The Economics of Discrimination: Economists Enter the Courtroom.” American Economic Review 77: 321325.
Barsky, Robert, Bound, John, Charles, Kerwin K., and Lupton, Joseph. 2002. “Accounting for the Black-White Wealth Gap: A Nonparametric Approach.” Journal of the American Statistical Association 97: 663673.
Bennett, Stephen Earl, and Resnick, David. 1990. “The Implications of Nonvoting for Democracy in the United States.” American Journal of Political Science 34: 771802.
Biewen, Martin. 1999. “Measuring the Effects of Socio-Economic Variables on the Income Distribution: An Application to the East German Transition Process.” Discussion Paper Series. Heidelberg, Germany: Ruprecht-Karls-University.
Blinder, Alan S. 1973. “Wage Discrimination: Reduced Form and Structural Equations.” Journal of Human Resources 8: 436455.
Cambell, Angus, Converse, Philip E., Miller, Warren E., Stokes, Donald E. 1960. The American Voter. New York: Wiley.
Card, David. 1999. “The Causal Effect of Education on Earnings.” In The Handbook of Labour Economics, eds. Ashenfelter, Orley and Card, David. Amsterdam: North-Holland, pp. 18011863.
Citrin, Jack, Schickler, Eric, Sides, John. 2003. “What if Everyone Voted? Simulating the Impact of Increased Turnout in Senate Elections.” American Journal of Political Science 47: 7590.
DeNardo, James. 1980. “Turnout and the Vote: The Joke's on the Democrats.” American Political Science Review 74: 406420.
DiNardo, John. 2002. “Propensity Score Reweighting and Changes in Wage Distribution.” Unpublished.
DiNardo, John, Fortin, Nicole, Lemieux, Thomas. 1996. “Labor Market Institutions and the Distribution of Wages.” Econometrica 64: 10011045.
Heckman, James. 1990. “Varieties of Selection Bias.” American Economic Review 80: 313318.
Heckman, James, Hotz, Joseph. 1985. “Alternative Methods for Evaluating the Impact of Training Programs.” Journal of the American Statistical Association 84: 862880.
Heckman, James, Ichimura, Hidehiko, Smith, Jeffrey, Todd, Petra E. 1996. “Labor Market Institutions and the Distribution of Wages.” Econometrica 64: 10011045.
Heckman, James, Robb, Richard Jr. 1985. “Alternative Methods for Evaluating the Impact of Inventories.” In Longitudinal Analysis of Labor Market Data, eds. Heckman, James and Singer, Burton. Cambridge: Cambridge University Press, pp. 156245.
Heckman, James, LaLonde, Robert J., Smith, James A. 1999. “The Economics and Econometrics of Active Labour Market Programmes.” In The Handbook of Labour Economics, eds. Ashenfelter, Orley and Card, David. Amsterdam: North-Holland, pp. 18652073.
Heckman, James, and Tobias, Justin, Vytlacil, Edward. 2001. “Simple Estimators for Treatment Parameters in a Latent Variable Framework.” Unpublished.
Heckman, James, Vytlacil, Edward. 2001a. “Causal Parameters, Structural Equations, Treatment Effects, and Randomized Evaluations of Social Programs.” Unpublished.
Heckman, James, Vytlacil, Edward. 2001b. “Structural Equations, Treatment Effects, and Econometric Policy Evaluation.” Unpublished.
Hirano, Keisuke, Imbens, Guido, Ridder, Geert. 2000. “Efficient Estimation of Average Treatment Effects using the Estimated Propensity Score.” NBER Technical Working Paper T0251 7: 201217.
Horvitz, D. G., and Thompson, D. J. 1952. “A Generalization of Sampling without Replacement from a Finite Population.” Journal of the American Statistical Association 47: 663685.
Lee, Lung-Fei, Porter, Robert H. 1984. “Switching Regression Models with Imperfect Sample Separation Information—An Application on Cartel Stability.” Econometrica 52: 391418.
Lemieux, Thomas. 2002. “Decomposing Changes in Wage Distributions: A Unified Approach.” Canadian Journal of Economics 35: 646688.
Lijphart, Arend. 1997. “Unequal Participation: Democracy's Unresolved Dilemma.” American Political Science Review 91: 114.
Oaxaca, Ronald. 1973. “Male-Female Wage Differentials in Urban Labor Markets.” International Economic Review 14: 693709.
Olson, Craig A. 1998. “A Comparison of Parametric and Semiparametric Estimates of the Effect of Spousal Health Insurance on Weekly Hours Worked by Wives.” Journal of Applied Econometrics 13: 543565.
Ornstein, Norman J., and Mann, Thomas E., Malbin, Michael J. 1997. Vital Statistics on Congress 1995–1996. Washington, DC: CQ Press.
Piven, Frances Fox, Cloward, Richard. 1988. Why Americans Don't Vote. New York: Pantheon.
Rosenbaum, Paul, Rubin, Donald. 1983. “The Central Role of the Propensity Score in Observational Studies of Causal Effects.” Biometrika 70: 4155.
Teixeira, Ruy A. 1992. The Disappearing American Voter. Washington, DC: Brookings Institution.
Tucker, Harvey J., and Vedlitz, Arnold, DeNardo, James. 1986. “Does Heavy Turnout Help Democrats in Presidential Elections?American Political Science Review 84: 12911298.
Verba, Sidney, Schlozman, Lehman Kay, Brady, Henry E. 1995. Voice and Equality: Civic Volunteerism in American Politics. Cambridge, MA: Harvard University Press.
Winship, Christopher, Morgan, Stephen L. 1999. “The Estimation of Causal Effects from Observational Data.” Annual Review of Sociology 25: 659706.
Wolfinger, Raymond, Rosenstone, Steven J. 1980. Who Votes? New Haven, CT: Yale University Press.
Wooldridge, Jeffrey M. 1997. “On Two-Stage Least Squares Estimation of the Average Treatment Effect in a Random Coefficient Model.” Economics Letters 56: 129133.
Wooldridge, Jeffrey M. 2002. Econometric Analyses of Cross Section and Panel Data. Cambridge, MA: MIT Press.
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A Propensity Score Reweighting Approach to Estimating the Partisan Effects of Full Turnout in American Presidential Elections

  • Thomas L. Brunell (a1) and John DiNardo (a2)

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