Abstract

The quality of healthcare is an important issue in any society. In the US the question “Which hospitals provide higher quality of care: Non-Profit (NP) or For-Profit (FP) ones?” is interesting both from the consumer and the policymaker perspective. The Arrow-Hansmann hypothesis states that NPs provide a higher level of quality, because of the lower incentive to exploit the opportunity to increase profits by reducing quality. Substantial empirical literature, however, rejects the main implication of this hypothesis: that quality of output is higher at NP organizations than at FP organizations. This thesis proposes a theory of information asymmetry in healthcare markets that is consistent with the empirical evidence and generates additional testable implications. US hospital data on 2006-2007 mortality rates (a measure of quality) support the central implication of the model: FPs have a higher variance of quality than NPs; 2006 data on US emergency room waiting times support the second implication: NPs have longer waiting times than FPs. Three additional implications find support in the data as well. Since the theory finds support in the data, I use it as a basis for policy recommendations. I review the various policy alternatives toward FP healthcare provision in the US. The theory developed herein supports government policies that encourage conversions of low-quality FPs into NPs. The analysis is built on two innovations. In the model presented doctors-entrepreneurs selfselect between the NP and FP sectors based on ability and not the degree of altruism, as in the previous literature. In the empirical analysis related to quality I use a newly constructed dataset

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