Literature DB >> 25504934

Adverse and Advantageous Selection in the Medicare Supplemental Market: A Bayesian Analysis of Prescription drug Expenditure.

Qian Li1, Pravin K Trivedi2,3.   

Abstract

This paper develops an extended specification of the two-part model, which controls for unobservable self-selection and heterogeneity of health insurance, and analyzes the impact of Medicare supplemental plans on the prescription drug expenditure of the elderly, using a linked data set based on the Medicare Current Beneficiary Survey data for 2003-2004. The econometric analysis is conducted using a Bayesian econometric framework. We estimate the treatment effects for different counterfactuals and find significant evidence of endogeneity in plan choice and the presence of both adverse and advantageous selections in the supplemental insurance market. The average incentive effect is estimated to be $757 (2004 value) or 41% increase per person per year for the elderly enrolled in supplemental plans with drug coverage against the Medicare fee-for-service counterfactual and is $350 or 21% against the supplemental plans without drug coverage counterfactual. The incentive effect varies by different sources of drug coverage: highest for employer-sponsored insurance plans, followed by Medigap and managed medicare plans.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Markov-chain Monte Carlo; advantageous selection; endogenous treatment effect; supplemental insurance

Mesh:

Substances:

Year:  2014        PMID: 25504934     DOI: 10.1002/hec.3133

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  2 in total

1.  Identification of Factors Influencing Out-of-county Hospitalizations in the New Cooperative Medical Scheme.

Authors:  Wan-Rong Lu; Wen-Jie Wang; Chen Li; Huang-Guo Xiong; Yi-Lei Ma; Mi Luo; Hong-Yu Peng; Zong-Fu Mao; Ping Yin
Journal:  Curr Med Sci       Date:  2019-10-14

2.  Do Robotic Surgical Systems Improve Profit Margins? A Cross-Sectional Analysis of California Hospitals.

Authors:  Ya-Chen Tina Shih; Chan Shen; Jim C Hu
Journal:  Value Health       Date:  2017-06-20       Impact factor: 5.725

  2 in total

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