Health insurance for the poor: impact on catastrophic and out-of-pocket health expenditures in Mexico

Male Economics, Econometrics and Finance (miscellaneous) Statistics as Topic Medically Underserved Area Instrumental variables 03 medical and health sciences Health insurance 0302 clinical medicine Humans Out-of-pocket spending Mexico Poverty Econometric methods Original Paper Medically Uninsured Insurance, Health Models, Statistical Health Policy 1. No poverty Health Care Costs Middle Aged Health Surveys Catastrophic health expenditures 3. Good health Public Finance & Economics Cross-Sectional Studies Poor populations Multivariate Analysis Economic Policy Female Economics / Management Science Health Expenditures Public Health/Gesundheitswesen
DOI: 10.1007/s10198-009-0180-3 Publication Date: 2009-09-15T03:48:40Z
ABSTRACT
The goal of Seguro Popular (SP) in Mexico was to improve the financial protection of the uninsured population against excessive health expenditures. This paper estimates the impact of SP on catastrophic health expenditures (CHE), as well as out-of-pocket (OOP) health expenditures, from two different sources. First, we use the SP Impact Evaluation Survey (2005-2006), and compare the instrumental variables (IV) results with the experimental benchmark. Then, we use the same IV methods with the National Health and Nutrition Survey (ENSANUT 2006). We estimate naïve models, assuming exogeneity, and contrast them with IV models that take advantage of the specific SP implementation mechanisms for identification. The IV models estimated included two-stage least squares (2SLS), bivariate probit, and two-stage residual inclusion (2SRI) models. Instrumental variables estimates resulted in comparable estimates against the "gold standard." Instrumental variables estimates indicate a reduction of 54% in catastrophic expenditures at the national level. SP beneficiaries also had lower expenditures on outpatient and medicine expenditures. The selection-corrected protective effect is found not only in the limited experimental dataset, but also at the national level.
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