Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/10824
Title: Estimating health demand for an aging population: a flexible and robust Bayesian joint model
Authors: Mukherji, Arnab 
Roychoudhury, Satrajit 
Ghosh, Pulak 
Brown, Sarah 
Keywords: Health services;Aging;Health care expenditure
Issue Date: 2016
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. © 2015 The Authors. Journal of Applied Econometrics published by John Wiley & Sons Ltd.
URI: https://repository.iimb.ac.in/handle/2074/10824
ISSN: 0883-7252
DOI: https://doi.org/10.1002/JAE.2463
Appears in Collections:2010-2019

Files in This Item:
File SizeFormat 
Mukherji_JAE_2016_Vol.31_Iss.6.pdf275.93 kBAdobe PDFView/Open    Request a copy
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.