Cited by 257Statistical Methods and Bayesian InferenceQualitative Comparative Analysis ResearchSpatial and Panel Data Analysis

Bayesian Inference for Comparative Research

Western, Bruce, Jackman, Simon·1994·American Political Science Review

Abstract

Regression analysis in comparative research suffers from two distinct problems of statistical inference. First, because the data constitute all the available observations from a population, conventional inference based on the long-run behavior of a repeatable data mechanism is not appropriate. Second, the small and collinear data sets of comparative research yield imprecise estimates of the effects of explanatory variables. We describe a Bayesian approach to statistical inference that provides a unified solution to these two problems. This approach is illustrated in a comparative analysis of unionization.

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Authors
Western, B., & Jackman, S.
Affiliations
  • Princeton University (US)
  • University of Rochester (US)
Venue
American Political Science Review
Published
1994-06
Volume
88
Issue
2
Pages
412-423
ISSN
  • 0003-0554 (ISSN-L)
  • 1537-5943
OpenAlex
W1988361986
Cited by
257
References
48
Citations by year
2026: 6 · 2025: 3 · 2024: 7 · 2023: 4 · 2022: 8 · 2021: 5 · 2020: 40 · 2019: 8 · 2018: 5 · 2017: 6 · 2016: 14 · 2015: 11 · 2014: 20 · 2013: 15 · 2012: 3
FWCI
3.09
Type
journal article
Language
en
Open access
closed
Locations
  • American Political Science Review (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Social Sciences › Sociology and Political Science › Qualitative Comparative Analysis Research
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Keywords
Bayesian inference, comparative research, regression analysis, cross-country data, multicollinearity, small sample inference, unionization, effect estimation

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