HMO selection and medicare costs: Bayesian MCMC estimation of a robust panel data tobit model with survival

Health Economics

Volumn 8, Issue 5, 1999, Pages 403-414

  Hamilton, Barton H ^a  

^a WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

HMO; Markov Chain Monte Carlo (MCMC) methods; Medicare; Panel data; Tobit

Indexed keywords

ARTICLE; BAYES THEOREM; HEALTH CARE COST; HEALTH INSURANCE; HEALTH MAINTENANCE ORGANIZATION; HEALTH STATUS; MEDICARE; MODEL; MORTALITY; MULTIVARIATE ANALYSIS; PENSIONER; PRIORITY JOURNAL; PROBABILITY; UNITED STATES;

AGED; ALGORITHMS; BAYES THEOREM; FEMALE; HEALTH EXPENDITURES; HEALTH MAINTENANCE ORGANIZATIONS; HEALTH SERVICES FOR THE AGED; HEALTH SERVICES RESEARCH; HUMANS; INSURANCE SELECTION BIAS; MALE; MARKOV CHAINS; MEDICARE; MONTE CARLO METHOD; MORTALITY; RETIREMENT; UNITED STATES;

EID: 0032863294     PISSN: 10579230     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1099-1050(199908)8:5<403::AID-HEC455>3.0.CO;2-D     Document Type: Article

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