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BAYESIAN-INFERENCE FOR COMPARATIVE RESEARCH
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DOI：10.2307/2944713.png)
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Abstract
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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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