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Vote Brokers, Clientelist Appeals, and Voter Turnout: Evidence from Russia and Venezuela

Published online by Cambridge University Press:  27 August 2019

Timothy Frye
Affiliation:
Department of political science at Columbia University and research director of the International Center for the Study of Institutions and Development at the Higher School of Economics in Moscowtmf2@columbia.edu
Ora John Reuter
Affiliation:
University of Wisconsin-Milwaukee and a senior research fellow at the Higher School of Economics in Moscowreutero@uwm.edu
David Szakonyi
Affiliation:
George Washington University, an academy scholar at Harvard University, and a research fellow at the Higher School of Economics in Moscowdszakonyi@email.gwu.edu

Abstract

Modern clientelist exchange is typically carried out by intermediaries—party activists, employers, local strongmen, traditional leaders, and the like. Politicians use such brokers to mobilize voters, yet little about their relative effectiveness is known. The authors argue that broker effectiveness depends on their leverage over clients and their ability to monitor voters. They apply their theoretical framework to compare two of the most common brokers worldwide, party activists and employers, arguing the latter enjoy numerous advantages along both dimensions. Using survey-based framing experiments in Venezuela and Russia, the authors find voters respond more strongly to turnout appeals from employers than from party activists. To demonstrate mechanisms, the article shows that vulnerability to job loss and embeddedness in workplace social networks make voters more responsive to clientelist mobilization by their bosses. The results shed light on the conditions most conducive to effective clientelism and highlight broker type as important for understanding why clientelism is prevalent in some countries but not others.

Information

Type
Research Article
Copyright
Copyright © Trustees of Princeton University 2019 
Figure 0

Table 1 Survey Coverage

Figure 1

Figure 1 Clientelism Effectiveness across Brokersa

a The figure displays the difference in the likelihood of voting among all respondents to the survey experiment. Voting likelihood is measured on a five-point scale, with higher values indicating increased likelihood. Mean values for each treatment group are found above each bar and are organized according to which broker was responsible for voter mobilization. The sample is a subset of only employed respondents.
Figure 2

Figure 2 Differences in Meansa

a This figure displays the difference in means between brokers and between inducements. Each dot displays the difference in means from each treatment and the aggregate means of the alternate treatments (for example, the dot for “employer” is the difference between the employer treatment and the combined mean of the other two brokers). Each dot has a 95 percent confidence interval. The sample is a subset of only employed respondents.
Figure 3

Table 2 Substantive Effects: Predicted Probabilities by Broker Treatmenta

Figure 4

Table 3 Examining Mechanisms: Russia Survey Experimenta

Figure 5

Figure 3 Mechanisms: Conditional Effect of Employer Treatment Across Subgroupsa

a This figure shows how the effect of receiving the employer treatment changes across the sub-groups discussed in the section on mechanisms. The dots indicate the marginal effect of the employer treatment and show 95 percent confidence intervals. Calculations are based on the interactive models in Table 3.
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