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来源类型Working Paper
规范类型报告
DOI10.3386/w17643
来源IDWorking Paper 17643
Regression Discontinuity Designs with an Endogenous Forcing Variable and an Application to Contracting in Health Care
Patrick Bajari; Han Hong; Minjung Park; Robert Town
发表日期2011-12-08
出版年2011
语种英语
摘要Regression discontinuity designs (RDDs) are a popular method to estimate treatment effects. However, RDDs may fail to yield consistent estimates if the forcing variable can be manipulated by the agent. In this paper, we examine one interesting set of economic models with such a feature. Specifically, we examine the case where there is a structural relationship between the forcing variable and the outcome variable because they are determined simultaneously. We propose a modi...ed RDD estimator for such models and derive the conditions under which it is consistent. As an application of our method, we study contracts between a large managed care organization and leading hospitals for the provision of organ and tissue transplants. Exploiting "donut holes" in the reimbursement contracts we estimate how the total claims filed by the hospitals depend on the generosity of the reimbursement structure. Our results show that hospitals submit significantly larger bills when the reimbursement rate is higher, indicating informational asymmetries between the payer and hospitals in this market.
主题Microeconomics ; Economics of Information ; Health, Education, and Welfare ; Health ; Industrial Organization ; Market Structure and Firm Performance
URLhttps://www.nber.org/papers/w17643
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/575318
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Patrick Bajari,Han Hong,Minjung Park,et al. Regression Discontinuity Designs with an Endogenous Forcing Variable and an Application to Contracting in Health Care. 2011.
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