Semiparametric Analysis With Grouped Dependent Variables and Application to Physicians' Provision of Charity Care

Mitali Das ()

Journal of Business & Economic Statistics, 2008, vol. 26, 446-459

Abstract: We present estimators for semiparametric regression models where the dependent variable is grouped, that is, known to fall in a specified group with observable thresholds while its true value remains latent. Income, weeks unemployed, and treatment length are examples of such variables. Because the model is not amenable to direct estimation, estimators are derived from a transform in which the index emerges as the partially linear component in a vector of identities. asymptotic normality of the proposed estimator is derived. The analytical results are applied to study physicians' provision of charity care, using data in which charity care is grouped.

Date: 2008
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