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- W1513146573 abstract "The first chapter analyzes incentives and quality inhospitals with physician-investors. Proponents of physicianownership argue that it improves care; opponents claim thatphysician-investors cherry-pick profitable patients. This paperuses new data on physician-owned hospitals to estimate a model thatallows for both cherry-picking and quality effects. The datacontain information on the distribution of physician ownershipacross hospitals and I develop a probabilistic discrete choiceframework to examine the selection behavior of physician-investors.A structural approach with instrumental variables providesestimates of hospital quality both on average and varying withpatient characteristics. I estimate the model using a sample ofnon-emergency cardiac patients obtained from the Center forMedicare and Medicaid Services. I find evidence of a significantmortality improvement for patients treated at physician-ownedhospitals, which primarily holds for moderate-severity patients.There is no strong evidence of physician-owner cherry-picking ofhealthier patients. The distribution of patients across hospitalsis primarily driven by physicians' average preferences overhospitals. The second chapter explores price transparency in healthcare. Many U.S. states have recently begun requiring that hospitalspublish prices, citing the need for consumer search. This paperuses two sources of longitudinal hospital data to evaluate theeffects of Web-based price-posting requirements and on-siteprice-posting requirements on the distribution of hospital pricesin nineteen states with such regulations. I find that transparencyregulation is associated on average with small price increases,which is inconsistent with transparency enhancing consumer search.The effects are smaller among for-profit hospitals and in areaswith a greater self-pay patient population. The third chapter(co-authored with Glenn Ellison) examines differences in thefrequency with which students from different schools reach highlevels of math achievement. Data from the American MathematicsCompetitions is used to produce counts of high-scoring studentsfrom public U.S. high schools. High-achieving students are far fromevenly distributed. There are strong demographic predictors of highachievement, but there are large differences among seeminglysimilar schools. The unobserved heterogeneity across schoolsincludes a thick tail of schools that produce many morehigh-achieving students than the average school. Gender-relateddifferences and other breakdowns are discussed." @default.
- W1513146573 created "2016-06-24" @default.
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- W1513146573 date "2012-01-01" @default.
- W1513146573 modified "2023-09-24" @default.
- W1513146573 title "Essays in economics" @default.
- W1513146573 hasPublicationYear "2012" @default.
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