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BAYESIAN-INFERENCE FOR COMPARATIVE RESEARCH

delete2013-09-02
delete137
PRE
AI
B
Bruce Western
S
Simon Jackman
DOI：10.2307/2944713delete
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Abstract

Abstract

En 中文
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.
Keywords:
ADVANCED INDUSTRIAL DEMOCRACIES
MACROECONOMIC PERFORMANCE
GOVERNMENT PARTISANSHIP
ECONOMIC-PERFORMANCE
LABOR ORGANIZATION
POLITICAL-ECONOMY
STATE
GROWTH
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

American Political Science Review cover
American Political Science Review
IF:
5.8
Papers:
8.7K
Citations:
2.1W

Organization

No organization information available