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It's a (coarsened exact) match! Non-parametric imputation of European abstainers' vote

Published online by Cambridge University Press:  30 October 2019

Damien Bol Open the ORCID record for Damien Bol [Opens in a new window]  and
Marco Giani
Damien Bol*
Affiliation:
Department of Political Economy, Quantitative Political Economy Group, King's College London, London, United Kingdom
Marco Giani
Affiliation:
Department of Political Economy, Quantitative Political Economy Group, King's College London, London, United Kingdom
*
*Corresponding author. E-mail: damien.bol@kcl.ac.uk
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Abstract

There is a long tradition of imputation studies looking at how abstainers would vote if they had to. This is crucial for democracies because when abstainers and voters have different preferences, the electoral outcome ceases to reflect the will of the people. In this paper, we apply a non-parametric method to revisit old evidence. We impute the vote of abstainers in 15 European countries using Coarsened Exact Matching (CEM). While traditional imputation methods rely on the choice of voters that are on average like abstainers, and simulate full turnout, CEM only imputes the vote of the abstainers that are similar to voters, and allows to simulate an electoral outcome under varying levels of turnout, including levels that credibly simulate compulsory voting. We find that higher turnout would benefit social democratic parties while imposing substantial losses to extreme left and green parties.

Keywords

Turnoutelectionsimputationcoarsened exact matchingWestern Europe
Type
Research Note
Information
Political Science Research and Methods , Volume 9 , Issue 2 , April 2021 , pp. 445 - 450
Copyright
Copyright © The European Political Science Association 2019

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References

Bechtel, MM, Handgartner, D and Schmid, L (2015) Does compulsory voting increase support for leftist policy? American Journal of Political Science 60, 752–767.CrossRefGoogle Scholar
Bernhagen, P and Marsh, M (2007) The partisan effects of low turnout: analyzing vote abstention as a missing data problem. Electoral Studies 26, 548–560.CrossRefGoogle Scholar
Blackwell, M, Iacus, S, King, G and Porro, G (2009) CEM: coarsened exact matching in stata. The Stata Journal 9, 524–546.CrossRefGoogle Scholar
Blais, A (2000) To Vote or Not to Vote: The Merits and Limits of Rational Choice Theory. Pittsburgh: University of Pittsburgh Press.CrossRefGoogle Scholar
Bond, RM, Fariss, CJ, Jones, JJ, Kramer, ADI, Marlow, C, Settle, JE and Fowler, JH (2012) A 61-million-person experiment in social influence and political mobilization. Nature 489, 295 EP.CrossRefGoogle ScholarPubMed
Brunell, TL and DiNardo, J (2004) A propensity score reweighting approach to estimating the partisan effects of full turnout in american presidential elections. Political Analysis 12, 28–45.CrossRefGoogle Scholar
Citrin, J, Schickler, E and Sides, J (2003) What if everyone voted? simulating the impact of increased turnout in senate elections. American Journal of Political Science 47, 75–90.CrossRefGoogle Scholar
Dehejia, RH and Wahba, S (2002) Propensity score matching methods for nonexperimental causal studies. Review of Economics and Statistics 84, 151–161.CrossRefGoogle Scholar
Fewerda, J (2014) Electoral consequences of declining participation: a natural experiment in Austria. Electoral Studies 35, 242–252.CrossRefGoogle Scholar
Fowler, A (2015) Regular voters, marginal voters and the electoral effects of turnout. Political Science Research and Methods 3, 205–219.CrossRefGoogle Scholar
Ho, D, Imai, K, King, G and Stuart, E (2007) Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Political Analysis 15, 199–236.CrossRefGoogle Scholar
Iacus, SM, King, G and Porro, G (2012) Causal inference without balance checking: coarsened exact matching. Political Analysis 15, 1–24.CrossRefGoogle Scholar
Katz, G and Levin, I (2018) A general model of abstention under compulsory voting. Political Science Research and Methods 6, 489–508.CrossRefGoogle Scholar
King, G and Zeng, L (2006) The dangers of extreme counterfactuals. Political Analysis 14, 131–159.CrossRefGoogle Scholar
Lijphart, A (1997) Unequal participation: democracy's unresolved dilemma. American Political Science Review 91, 1–14.CrossRefGoogle Scholar
Miller, P and Dassonneville, R (2016) High turnout in the low countries: partisan effects of the abolition of compulsory voting in the Netherlands. Electoral Studies 44, 132–143.CrossRefGoogle Scholar
Supplementary material: Link

Bol and Giani Dataset

Dataset

https://doi.org/10.7910/DVN/2O2MA9
Link
Supplementary material: PDF

Bol and Giani supplementary material

Bol and Giani supplementary material

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