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Evidence of Asymmetric Information in the Automobile Insurance Market: Dichotomous Versus Multinomial Measurement of Insurance Coverage
Authors:Hyojoung Kim  Doyoung Kim†  Subin Im‡  James W Hardin§
Institution:Hyojoung Kim is at the Department of Sociology, California State University, Los Angeles;. Doyoung Kim is at the Department of Economics, Sogang University, Korea;. Subin Im is at the Department of Marketing, San Francisco State University;. James W. Hardin is at the Department of Epidemiology and Biostatistics, University of South Carolina. Hyojoung Kim can be contacted via e-mail: or Doyoung Kim can be contacted via e-mail: .
Abstract:In the empirical analysis of information asymmetry in automobile insurance markets, prior research used a dichotomous measurement approach that induces excessive bundling in coverage measurements and sample selection biases. To improve on the conditional correlation method for testing information asymmetry, we propose a multinomial measurement approach that constructs coverage categories at ordered multinomial levels. With this approach, we find robust evidence of information asymmetry in both coverage area and coverage amount choices, which we could not find with the dichotomous measurement approach. It thus demonstrates the sensitivity of the empirical findings to the method used to measure insurance coverage.
Keywords:
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