Cover: A Random-Effects Approach to Attrition Bias in the SIPP Health Insurance Data

A Random-Effects Approach to Attrition Bias in the SIPP Health Insurance Data

Published 2004

by Jacob Alex Klerman

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Using black male health insurance data from the 1984 SIPP Panel as an example, this paper describes a test for the presence of attrition bias and a consistent estimator for the level of health insurance coverage in the presence of attrition bias. The test and estimator jointly model the attrition and health insurance coverage processes using random effects panel probit models in which the random effects are allowed to be correlated. The empirical results suggest that for black males, ignoring attrition bias leads to a positive time trend for health insurance coverage, when the true, corrected-for-attrition bias time trend is negative.

Originally published in: Proceedings of the Bureau of the Census 1991 Annual Research Conference, U.S. Dept. of Commerce, March 17-20, 1991, pp. 335-351.

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