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Modeling Health Insurance Enrollment Decisions in the U.S., Under Preferences Endogeneity:

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영문명
발행기관
The International Academy of Global Business and Trade
저자명
Ibrahim L.C.O. Niankara
간행물 정보
『Journal of Global Business and Trade』Vol. 12, No. 2, 1~14쪽, 전체 14쪽
주제분류
사회과학 > 무역학
파일형태
PDF
발행일자
2016.12.30
4,480

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Early work on consumer health insurance preference modeling suggests that workers sorting among employment alternatives reflect their tastes for employment-sponsored health insurance. Focusing on examining the role of health insurance preferences on enrollment decisions into employment sponsored health insurance, this past literature assumes the effects of health insurance preferences to be statistically exogenous. Therefore, extending analysis beyond employment sponsored health insurance preference modeling, while relaxing the exogeneity assumption, this article models the effects of stated consumption preferences for health insurance on revealed choices of health insurance using a framework in which stated consumption preferences are assumed to be endogenous in the statistical sense. A discrete choice analysis is implemented where both stated preferences and choice outcomes are modeled using multinomial probit and estimated within the Bayesian paradigm using a full Gibbs sampler. This estimation strategy is one of the first of its kind in consumer preference modeling, and improves computational efficiency and overall simplicity compared to related work using full information maximum likelihood. The analysis uses data from the 2007 medical expenditure panel survey, and the results provide substantial evidence on the importance of stated consumer preferences on revealed consumption choices of health insurance in the US.

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APA

Ibrahim L.C.O. Niankara. (2016).Modeling Health Insurance Enrollment Decisions in the U.S., Under Preferences Endogeneity:. Journal of Global Business and Trade, 12 (2), 1-14

MLA

Ibrahim L.C.O. Niankara. "Modeling Health Insurance Enrollment Decisions in the U.S., Under Preferences Endogeneity:." Journal of Global Business and Trade, 12.2(2016): 1-14

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