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

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Bayesian Inference for Comparative Research

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

DOI 10.2307/2944713

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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)
ORCID: Western, Bruce
Jackman, Simon
Venue: American Political Science Review
Publisher: Cambridge University Press (CUP)
Published: 1994-06
Volume: 88
Issue: 2
Pages: 412-423
ISSN: 0003-0554 (ISSN-L)
1537-5943
DOI: 10.2307/2944713
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
Licence: www.cambridge.org/core/terms (unspecified, 7033 d)
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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