Applying Formal Bayesian Analysis to Qualitative Case Research: An Empirical Example, Implications, and Caveats

39 Pages Posted: 20 Aug 2015

See all articles by Tasha Fairfield

Tasha Fairfield

London School of Economics & Political Science (LSE)

Andrew Charman

University of California, Berkeley

Date Written: 2015

Abstract

To illustrate how Bayesian logic underpins qualitative research, we provide an application to Fairfield’s (2015) work on tax policy change in Latin America. Fairfield (2013) elaborated a methodological appendix that we believe is the first published account that explicitly applies process-tracing tests to elucidate causal inferences in the author’s case narratives. In the following exercise, which is also the first of its kind, we revise that appendix by replacing the language of process-tracing tests with direct applications of Bayes’ theorem. While we advocate a Bayesian approach to inference over process-tracing tests, we stress the fundamental difficulty of assigning quantitative probabilities in the complex world of social science.

Keywords: qualitative methods, Bayesian analysis, process tracing

JEL Classification: B00

Suggested Citation

Fairfield, Tasha and Charman, Andrew, Applying Formal Bayesian Analysis to Qualitative Case Research: An Empirical Example, Implications, and Caveats (2015). Available at SSRN: https://ssrn.com/abstract=2647184 or http://dx.doi.org/10.2139/ssrn.2647184

Tasha Fairfield (Contact Author)

London School of Economics & Political Science (LSE) ( email )

Houghton Street
London, WC2A 2AE
United Kingdom

Andrew Charman

University of California, Berkeley ( email )

310 Barrows Hall
Berkeley, CA 94720
United States

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