Abstract
The paper presents a comparative analysis of the multivariate recursive probit model and matching as the methods for estimating the treatment effect of higher education on binary indicators of individuals’ health. Statistical evidence has been obtained in favor of the presence of a negative treatment effect of higher education on the probability of a woman suffering from hypertension and obesity and a man assessing his health as very good, as well as a positive effect on the probability of a woman having eye diseases and allergy. It is concluded that it is necessary to estimate the treatment effect in applied research simultaneously by different methods to obtain robust estimates.
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