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Given that these two measures of health demand are highly likely to be closely correlated, we propose a framework to jointly model hospital visits and out\u2010of\u2010pocket medical expenditure, which allows for the presence of nonlinear effects of covariates using splines to capture the effects of aging on health demand. The findings from our empirical analysis of the US Health and Retirement Survey indicate that the demand for health varies with age. \u00a9 2015 The Authors. <jats:italic>Journal of Applied Econometrics<\/jats:italic> published by John Wiley &amp; Sons Ltd.<\/jats:p>","DOI":"10.1002\/jae.2463","type":"journal-article","created":{"date-parts":[[2015,4,16]],"date-time":"2015-04-16T07:22:47Z","timestamp":1429168967000},"page":"1140-1158","source":"Crossref","is-referenced-by-count":14,"title":["Estimating Health Demand for an Aging Population: A Flexible and Robust Bayesian Joint Model"],"prefix":"10.1002","volume":"31","author":[{"given":"Arnab","family":"Mukherji","sequence":"first","affiliation":[{"name":"IIM Bangalore  India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Satrajit","family":"Roychoudhury","sequence":"additional","affiliation":[{"name":"Novartis Pharmaceutical Company  New York 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