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Determining Trade Policy: Do Voters Hold Politicians Accountable?

Published online by Cambridge University Press:  15 July 2009

Alexandra Guisinger
Affiliation:
Department of Political Science, University of Notre Dame du Lac. E-mail: alexandraguisinger@gmail.com

Abstract

Models of trade policy often depend on the efficient aggregation of individual preferences. While much of the recent empirical work on trade focuses on whether domestic coalitions form along class or sectoral lines, the process of preference aggregation itself remains understudied. In democratic countries, voting is typically assumed to be an unproblematic mechanism for aggregating preferences, but such an assumption may be misleading when the salience of trade policy is low or heterogeneous throughout the electorate. Using data from a survey of 36,501 potential voters in the 2006 U.S. midterm congressional elections, this article explores the salience of trade policy for voters as a whole and for populations predicted to be most affected by changing trade patterns. The article offers an estimation of trade policy salience based on the degree to which voters held Senate incumbents accountable for their 2005 vote on the Central American Free Trade Agreement, relative to roll call votes on other issues of the day. The article finds trade policy salience to be relatively low in terms of stated importance, in voters' knowledge of their representatives' policy positions, and in its effect on voters' propensity to vote for the incumbent. The low salience of trade policy, particularly among highly affected groups, calls into question voter-driven models of trade policy.

Information

Type
Research Article
Copyright
Copyright © The IO Foundation 2009
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TABLE 1. “In determining whom you vote for, how important are the following issues?”

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FIGURE 1. “In determining whom you vote for, how important are the following issues?”Notes: Observations minimum = 998; maximum = 992.

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TABLE 2. Respondent identification of senator's vote record on recent roll call votes

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TABLE 3. Respondent's identification of senator's CAFTA vote conditional on own preference

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TABLE 4. Multinomial logit regression on identification of senator's policy position by respondent characteristics

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TABLE 5. Probit regression on voting for the incumbent

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FIGURE 2. Effect of issue match on probability of voting for the incumbentNote: The upper and lower bars represent the 95 percent confidence level for the estimated shift in vote for the incumbent. The baseline vote share for the incumbent is 60 percent.

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TABLE 6. Probability vote for incumbent contingent on preference relative to incumbent position

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TABLE 7. Comparison of coefficients and predicted probabilities by subsample

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FIGURE 3. Effect of CAFTA match on probability of voting for the incumbentNotes: The upper and lower bars represent the 95 percent confidence level for the estimated shift in vote for the incumbent. The estimates are based on results from subsamples. *Excludes Florida.