Abstract: Health status through self-reported health indicators is examined in this paper. The objective is to identify the determinants of self-reported health status indicators. In addition to OLS estimates of the probability of illness production function, Maximum Likelihood Probit and Logit estimates are used. Illness probability of husband is reduced by his education and increased by his age. Similar results are observed using the dependent variable ‘days lost’ due to illness. Husband’s education has a positive effect on ‘amount spent’ on health care. Wife’s education has a negative effect on her illness probability. Wife’s age is found to have a significant relationship with her illness probabilities. Wife’s education and age have positive impacts on her ‘amount spent’ to cure illness.
Keywords: Self-reported health indicators, OLS, Maximum likelihood probit and logit.
Title: EMPIRICAL DETERMINANTS OF SELF-REPORTED HEALTH STATUS INDICATORS
Author: Aleykutty Robert, Joseph Jeyapaul
International Journal of Social Science and Humanities Research
ISSN 2348-3164 (online), ISSN 2348-3156 (Print)
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