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Jonathan Gruber and Jerry A. Hausman. Kowalski, Amanda Massachusetts Institute of Technology. Dept. of Economics. Massachusetts Institute of Technology. Department of Economics 2008-12-11T16:55:19Z 2008-12-11T16:55:19Z 2008 2008 http://hdl.handle.net/1721.1/43729 260021960 Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2008. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Includes bibliographical references. This dissertation consists of an empirical chapter, an econometrics chapter, and a theoretical chapter, all of which advance the study of the price elasticity of expenditure on medical care. In Chapter 1, I estimate the price elasticity of expenditure on medical care across the quantiles of the expenditure distribution. My identification strategy relies on family cost sharing provisions that generate differences in marginal prices between individuals who have injured family members and individuals who do not. I use a new censored quantile instrumental variables (CQIV) estimator, which allows me to examine variations in price responsiveness across the skewed distribution of medical expenditure. The CQIV estimator does not require any parametric assumptions to account for individuals who consume zero medical care. Using CQIV, as well as traditional estimators, I find elasticities that are an order of magnitude larger than those in the literature. My CQIV estimates suggest strong price responsiveness among people who spend the most. I find that the price elasticity of expenditure is approximately -2.3, which is stable across the .65 to .95 quantiles of the expenditure distribution. In Chapter 2, Chernozhukov and Kowalski (2008), we develop a censored quantile instrumental variables (CQIV) estimator. The CQIV estimator handles censoring nonparametrically in the tradition of Powell (1986), and it generalizes standard censored quantile regression (CQR) methods to incorporate endogeneity. Our computational algorithm combines a control function approach with the Chernozhukov and Hong (2002) CQR algorithm. Through Monte-Carlo simulation, we show that CQIV performs well relative to Tobit IV in terms of median bias and interquartile range. (cont.) In Chapter 3, I develop a structural model to estimate the price elasticity of expenditure on medical care. The model relies on deductibles, coinsurance rates, and stoplosses that generate nonlinearities in consumer budget sets. The model generalizes existing nonlinear budget set models by allowing for more than one nonconvex kink. Furthermore, it incorporates censoring as a corner solution. Unlike reduced form models, the model utilizes identification from utility theory, it allows for preference heterogeneity, and it allows for the direct calculation of welfare effects. by Amanda Ellen Kowalski. Ph.D. 155 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Economics. Essays on medical care using Semiparametric and structural econometrics Thesis application/pdf Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="c2e51de0-cb5f-4285-bc95-0135126dd2dd"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Essays on medical care using Semiparametric and structural econometrics</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2008</PublicationDate> <Authors> <Author> <DisplayName>Kowalski, Amanda</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Economics.</Keyword> <Abstract>This dissertation consists of an empirical chapter, an econometrics chapter, and a theoretical chapter, all of which advance the study of the price elasticity of expenditure on medical care. In Chapter 1, I estimate the price elasticity of expenditure on medical care across the quantiles of the expenditure distribution. My identification strategy relies on family cost sharing provisions that generate differences in marginal prices between individuals who have injured family members and individuals who do not. I use a new censored quantile instrumental variables (CQIV) estimator, which allows me to examine variations in price responsiveness across the skewed distribution of medical expenditure. The CQIV estimator does not require any parametric assumptions to account for individuals who consume zero medical care. Using CQIV, as well as traditional estimators, I find elasticities that are an order of magnitude larger than those in the literature. My CQIV estimates suggest strong price responsiveness among people who spend the most. I find that the price elasticity of expenditure is approximately -2.3, which is stable across the .65 to .95 quantiles of the expenditure distribution. In Chapter 2, Chernozhukov and Kowalski (2008), we develop a censored quantile instrumental variables (CQIV) estimator. The CQIV estimator handles censoring nonparametrically in the tradition of Powell (1986), and it generalizes standard censored quantile regression (CQR) methods to incorporate endogeneity. Our computational algorithm combines a control function approach with the Chernozhukov and Hong (2002) CQR algorithm. Through Monte-Carlo simulation, we show that CQIV performs well relative to Tobit IV in terms of median bias and interquartile range.</Abstract> <Abstract>(cont.) In Chapter 3, I develop a structural model to estimate the price elasticity of expenditure on medical care. The model relies on deductibles, coinsurance rates, and stoplosses that generate nonlinearities in consumer budget sets. The model generalizes existing nonlinear budget set models by allowing for more than one nonconvex kink. Furthermore, it incorporates censoring as a corner solution. Unlike reduced form models, the model utilizes identification from utility theory, it allows for preference heterogeneity, and it allows for the direct calculation of welfare effects.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>