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Assessing causal inference problems with Bayesian process tracing: the economic effects of proportional representation and the problem of endogeneity

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  • Marcus Kreuzer

Abstract

In recent years, causal process tracing is becoming increasingly formalised as scholars have begun to follow Bayesian logic and thereby manage to combine the interpretative and contextual nuance of older forms of process tracing with the inferential rigours of Bayesian analysis. This paper illustrates the basic logic of Bayesian process tracing by drawing on the political economy literature that studies the social policy and economic effects of electoral systems. It compares and contrasts how each approach deals with the problem of endogeneity.

Suggested Citation

  • Marcus Kreuzer, 2016. "Assessing causal inference problems with Bayesian process tracing: the economic effects of proportional representation and the problem of endogeneity," New Political Economy, Taylor & Francis Journals, vol. 21(5), pages 473-483, September.
  • Handle: RePEc:taf:cnpexx:v:21:y:2016:i:5:p:473-483
    DOI: 10.1080/13563467.2015.1134467
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    Cited by:

    1. Mayntz, Renate, 2017. "Handeln und Struktur, Akteur und System: Die kausale Rekonstruktion von sozialen Makrophänomenen am Beispiel der Finanzkrise," MPIfG Discussion Paper 17/5, Max Planck Institute for the Study of Societies.
    2. Fastenrath, Florian & Orban, Agnes & Trampusch, Christine, 2017. "From economic gains to social losses: How stories shape expectations in the case of German municipal finance," MPIfG Discussion Paper 17/20, Max Planck Institute for the Study of Societies.

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