Effects of Informal Family Care on Formal Health Care: Zero-Inflated Endogenous Count for Censored Response
AbstractWhether informal family health care is a substitute or complement for formal health care has been debated in the literature. If it is a substitute, then there is a scope to reduce formal health care cost by promoting informal family health care. Using Korean survey data for the elderly of age 65 or higher, this paper estimates the effect of informal family health care on formal health care, where the former is measured by the number of family health care givers and the latter is measured by the (logarithm of) formal health care expenditure. This task, however, poses a number of difficulties. The first is that the number of the family care givers is an endogenous count regressor. The second is that there seem to be too many zeros in the count (85%). The third is that the response variable also has a non-trivial proportion of zeros (14%). This paper overcomes these problems by combining a semiparametric estimator for a censored response with the idea of â€œzero-inflatedâ€ counts. The resulting two-stage procedure avoids strong parametric assumptions and behaves well computationally. Our main empirical finding is that informal family health care has a large substitute effect for diabetics that is statistically significant and large in magnitude, but the other effects are statistically insignificant for our given data size of about 3000
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Bibliographic InfoPaper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 11/10.
Date of creation: Jun 2011
Date of revision:
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informal health care; formal health care; count variable; zero-inflated Poisson; control function approach; censored model.;
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