Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
type="main"> <p>Theoretical models predict asymmetric information in health insurance markets may generate inefficient outcomes due to adverse selection and moral hazard. However, previous empirical research has found it difficult to disentangle adverse selection from moral hazard in health care consumption. We propose a two-step semiparametric estimation strategy to identify and estimate a canonical model of asymmetric information in health care markets. With this method, we can estimate a structural model of demand for health care. We illustrate this method using a claims-level data set with confidential information from a large self-insured employer. We find significant evidence of moral hazard and adverse selection.