Mukherji, A., Roychoudhury, S., Ghosh, P. et al. (1 more author) (2015) Estimating Health Demand for an Aging Population: A Flexible and Robust Bayesian Joint Model. Journal of Applied Econometrics. ISSN 0883-7252
Abstract
We analyse two frequently used measures of the demand for health—hospital visits and out-of-pocket health care expenditure—which have been analysed separately in the existing literature. 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-of-pocket 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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 The Authors. Journal of Applied Econometrics published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
Keywords: | Aging; Bayesian Methods; Healthcare Demand; Joint Model; Splines |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Jan 2015 09:53 |
Last Modified: | 25 Feb 2016 15:55 |
Published Version: | http://dx.doi.org/10.1002/jae.2463 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/jae.2463 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82783 |