Abstract
A vast academic literature illustrates that voter turnout is affected by the institutional design of elections (e.g., compulsory voting, electoral system, postal or Sunday voting). In this article, we exploit a simple Downsian theoretical framework to argue that the institutional framework of public good provision—and, in particular, the distribution of political and administrative competences across government levels—likewise affects voters’ turnout decisions by influencing the expected net benefit of voting. Empirically, we exploit the institutional variation across German municipalities to test this proposition, and find supportive evidence.
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Notes
LAU stands for ‘Local Authority Unit’ and is a classification issued by Eurostat. While LAU 2 is the municipal level, LAU 1 captures different forms of inter-municipal cooperation.
For simplicity, we assume throughout the paper that there are two types of public goods: (i) one where the costs/benefits are localized to a small subgroup within the municipality (e.g., child care centers, local parks) and (ii) one where the costs/benefits cover the entire municipality (e.g., municipal roads).
In the German setting analyzed below, these communities often reflect previously independent municipalities that merged into one new (larger) municipality.
Although we introduce only two parties (Y and Z) in our model formulation, the Downsian model—and our use of it here—can easily be extended to a setting with multiple parties and coalition formation (see McKelvey and Ordeshook 1972; Geys and Heyndels 2006). As this does not add additional theoretical insights, but complicates the notation, we refrain from doing so here.
In the German setting, this is particularly true since decisions at the municipal level are taken consensually. Moreover, from a legal perspective, all communities remain independent and can oppose any decision of the joint administrative council by exercising their veto right. While that option provides a strong threat and determines each community’s bargaining power at the municipal level, it is an extremely rare occurrence in reality.
Remember that these orderings are derived independently of the effects different institutional settings may have on electorate size and election closeness (i.e., the traditional determinants of ρ). In our empirical analysis below, we will therefore test the ensuing hypotheses (H1a) and (H1b) controlling for these two elements.
This issue is strengthened by the fact that the 2005 national election was originally scheduled for 2006. As the rescheduling was announced by Chancellor Schroeder in May 2005, the campaign for the national election of 2005 did not affect the local elections contained in our sample that were held in 2004. This restriction excludes observations from Bavaria (which held local-level elections in 2002 and 2008) and Lower Saxony (with local-level elections in 2001 and 2006).
Although restricting ourselves to the relative size of the first two parties in our measure of closeness may be overly restrictive in our multi-party setting, measures explicitly aimed at incorporating the vote (or seat) shares of multiple parties such as the ‘entropy’-measure proposed in Kirchgässner and Schimmelpfennig (1992) and Kirchgässner and Zu Himmern (1997), i.e., \(E = - \sum_{i = 1}^{n} p_{i} \ln(p_{i})\) with p i the vote (or seat) share of party i, are problematic as well since they generally depend on the number of parties included in its calculation (which clearly contaminates their measurement of size inequalities between the parties). As there is no commonly accepted solution to this problem, to the best of our knowledge, we gave preference to the relative simplicity of the two-party vote difference.
Since some federal states aggregate information on the vote share of non-partisan candidates in their official statistics, the share of such non-partisans can become quite large in our sample. To avoid this biasing our estimate of the election closeness effect, we enter a dummy variable equal to 1 when the share of non-partisan votes exceeds 33 % of all votes.
In most previous work, population homogeneity is approximated by either racial/ethnic or income diversity. Unfortunately, we lack detailed information for both these indicators. Hence, we instead rely on age dispersion as measured by the Herfindahl-Hirschman index: \(\sum_{i} x_{i}^{2}\), where x i is the share of citizens in a specific age class (age: <3, 3–6, 6–10, 10–15, 15–18, 18–20, 20–25, 25–30, … , 65–75, >75).
We carried out both estimation procedures, but focus on the quasi-maximum likelihood (QMLE) results below. The reason is that some evidence suggests that even if the beta assumption is valid, the maximum likelihood approach outperforms the QMLE estimator only in certain circumstances (Ramalho et al. 2011). Moreover, to verify that our results are not driven by this particular choice of econometric method, we also performed a further robustness check building on a traditional OLS estimation with a logit-transformed dependent variable (i.e., log(turnout/(1−turnout))) and Huber-White corrected standard errors. The results remained almost identical (details available upon request).
References
Aguiar-Conraria, L., & Magalhães, P. C. (2010). Referendum design, quorum rules and turnout. Public Choice, 144(1–2), 63–81.
Andersen, J. J., Fiva, J. H., & Natvik, G. J. (2012). Voting when the stakes are high. Mimeo.
Ashworth, J., Geys, B., & Heyndels, B. (2006). Everyone likes a winner: an empirical test of the effect of electoral closeness on turnout in a context of expressive voting. Public Choice, 128(3/4), 383–405.
Beck, N. (1975). A note on the probability of a tied election. Public Choice, 23(1), 75–79.
Biehl, D. (1994). Fiscal federalism in Germany. In A. Mullins & C. Saunders (Eds.), Economic union in federal systems. Sydney: Federation Press.
Blais, A. (2006). What affects voter turnout? Annual Review of Political Science, 9, 111–125.
Brennan, G., & Buchanan, J. M. (1980). The power to tax: analytical foundations of a fiscal constitution. Cambridge: Cambridge University Press.
Brennan, G., & Hamlin, A. (2000). Democratic devices and desires. Cambridge: Cambridge University Press.
Brennan, G., & Lomasky, L. (1993). Democracy and decision: the pure theory of electoral preference. Cambridge: Cambridge University Press.
Cohen, G. (1982). Community cohesion and space planning. In R. Frankenberg (Ed.), Custom and conflict in British society (pp. 258–285). Manchester: Manchester University Press.
Dhillon, A., & Peralta, S. T. (2002). Review: economic theories of voter turnout. Economic Journal, 112(480), F332–F352.
Downs, A. (1957). An economic theory of democracy. New York: Harper & Row.
Enderlein, H. (2009). Three worlds of fiscal federalism: solving the trilemma of multi-layered fiscal frameworks in industrialized countries. Mimeo.
Ferrari, S., & Cribari-Neto, F. (2004). Beta regression for modelling rates and proportions. Journal of Applied Statistics, 31(7), 799–815.
Geys, B. (2006a). ‘Rational’ theories of voter turnout: a review. Political Studies Review, 4(1), 16–35.
Geys, B. (2006b). Explaining voter turnout: a review of aggregate-level research. Electoral Studies, 25(4), 637–663.
Geys, B., & Heyndels, B. (2006). Disentangling the effects of political fragmentation on voter turnout: the Flemish municipal elections. Economics and Politics, 18(3), 367–387.
Hajnal, Z., & Lewis, P. (2003). Municipal institutions and voter turnout in local elections. Urban Affairs Review, 38(5), 645–668.
Hamlin, A., & Jennings, C. (2011). Expressive political behaviour: foundations, scope and implications. British Journal of Political Science, 41(3), 645–670.
Hansen, S., Palfrey, T. R., & Rosenthal, H. (1987). The Downsian model of electoral participation: formal theory and empirical analysis of the constituency size effect. Public Choice, 52(1), 15–33.
Hillman, A. L. (2010). Expressive behavior in economics and politics. European Journal of Political Economy, 26, 403–418.
Hoffmann-Martinot, V., Rallings, C., & Thrasher, M. (1996). Comparing local electoral turnout in Great Britain and France: more similarities than differences? European Journal of Political Research, 30(2), 241–257.
Kieschnick, R., & McCullough, B. (2003). Regression analysis of variates observed on (0,1): percentages, proportions and fractions. Statistical Modelling, 3(3), 193–213.
Kirchgässner, G., & Schimmelpfennig, J. (1992). Closeness counts if it matters for electoral victory: some empirical results for the United Kingdom and the Federal Republic of Germany. Public Choice, 73, 283–299.
Kirchgässner, G., & Zu Himmern, A.-M. (1997). Expected closeness and turnout: an empirical analysis for the German general elections, 1983–1994. Public Choice, 91, 3–25.
Matsusaka, J. G. (1995). Explaining voter turnout patterns: an information theory. Public Choice, 84(1–2), 91–117.
McKelvey, R. D., & Ordeshook, P. C. (1972). A general theory of the calculus of voting. In J. F. Herndon & J. L. Bernd (Eds.), Mathematical applications in political science VI. Charlottesville: University Press of Virginia.
Oates, W. E. (1972). Fiscal federalism. New York: Harcourt Brace Jovanovich.
Oates, W. E. (1999). An essay on fiscal federalism. Journal of Economic Literature, 37(3), 1120–1149.
Olson, M. J. (1969). The principle of ‘fiscal equivalence’: the division of responsibilities among different levels of government. American Economic Review, 59(2), 479–487.
Overbye, E. (1995). Making a case for the rational, self-regarding, ‘ethical’ voter … and solving the ‘paradox of not voting’ in the process. European Journal of Political Research, 27(3), 369–396.
Owen, G., & Grofman, B. (1984). To vote or not to vote: the paradox of nonvoting. Public Choice, 42(3), 311–325.
Paolino, P. (2001). Maximum likelihood estimation of models with beta-distributed dependent variables. Political Analysis, 9(4), 325–346.
Papke, L. E., & Wooldridge, J. M. (1996). Econometric methods for fractional response variables with an application to 401(K) plan participation rates. Journal of Applied Econometrics, 11(6), 619–632.
Pelkonen, P. (2012). Length of compulsory education and voter turnout: evidence from a staged reform. Public Choice, 150(1–2), 51–75.
Ramalho, E. A., Ramalho, J. J. S., & Murteira, J. M. R. (2011). Alternative estimating and testing empirical strategies for fractional regression models. Journal of Economic Surveys, 25(1), 19–68.
Riker, W. H., & Ordeshook, P. C. (1968). A theory of the calculus of voting. American Political Science Review, 62(1), 25–42.
Roseman, G. H., & Stephenson, E. F. (2005). The effect of voting technology on voter turnout: do computers scare the elderly? Public Choice, 123(1–2), 39–47.
Rosenfeld, M. T. W., Kluth, W., Haug, P., Heimpold, G., Michelsen, C., & Nuckelt, J. (2007). Zur Wirtschaftlichkeit gemeindlicher Verwaltungsstrukturen in Sachsen-Anhalt. Halle: Institut fuer Wirtschaftsforschung Halle.
Tullock, G. (1965). Entry barriers in politics. Economic Journal, 55(1/2), 458–466.
Verba, S., & Nie, N. H. (1972). Participation in America. Political democracy and social inequality. New York: Harper & Row.
Zimmer, T. (1976). Urbanization, social diversity, voter turnout, and political competition in U.S. elections: analysis of congressional districts for 1972. Social Science Quarterly, 56(4), 689–697.
Zimmermann, H. (1999). Eine Einfuehrung in die Lehre von der oeffentlichen Finanzwirtschaft. Munich: Vahlen.
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Michelsen, C., Boenisch, P. & Geys, B. (De)Centralization and voter turnout: theory and evidence from German municipalities. Public Choice 159, 469–483 (2014). https://doi.org/10.1007/s11127-013-0061-2
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DOI: https://doi.org/10.1007/s11127-013-0061-2