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Replication Data for: Using Multiple Imputation and Matching to Improve Network Effects on Corporate Tax Policy Interdependence

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Harvard Dataverse2015-05-05 更新2026-04-09 收录
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By using a spatial lag model, Cao (2010) tests the effects of economic and cultural similarities among countries on international diffusion of corporate tax policy and by extension. Our analysis attempts to improve upon the methods set forth by Cao, and further his investigation of cross-national policy interdependence. First, using recently developed statistical methods, we impute missing data to present a more thorough regression analysis. Second, we attempt to estimate the causal effects of structural equivalence with matching methods, and we show that strong covariate correlations confound matching techniques.

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2015-01-01
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