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Title: When Political Scientists Should Avoid Ratio Regressions

Citation Type: Miscellaneous

Publication Year: 2018

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Abstract: Ratio transformed variables are common in empirical political science research. In this article, we summarize the inference problems that arise when using ratio-transformations to de-scale variables of interest. We argue that existing solutions are ineffective in guarding against a range of inference problems. We argue that researchers should instead include the denominator as a control. We use simulated data to demonstrate our proposed specification outperforms any type of ratio specification in most data generating contexts. 3,522 words main 5,283 words total

Url: https://s18798.pcdn.co/abrahamaldama/wp-content/uploads/sites/6464/2018/09/ratio_manuscript.pdf

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Authors: Aldama, Abraham; Bisbee, James

Publisher: NYU Wilf Family Department of Politics

Data Collections: IPUMS International

Topics: Other

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