As the listed more than, i made use of data out of four surf (2010–13) of one’s ENCV, a nationally member house questionnaire

As the listed more than, i made use of data out of four surf (2010–13) of one’s ENCV, a nationally member house questionnaire

We minimal our very own try in order to house one to contained a minumum of one people potentially eligible for the program centered on years as well as the household’s rating towards the Program out-of Character away from Social System Beneficiaries (SISBEN), a network included in Colombia to determine eligibility to own public passion applications. thirty six Because several months, as the indexed significantly more than, females needed to be about years 50-two and you can guys had to be at the least decades fifty-eight. Households inside the membership step one and you may 2 of your own SISBEN directory (people in poverty) try possibly qualified to receive the application, corresponding to almost 50 percent of all the members of one to decades classification. Applying all the qualifications standards contributed to a sample off 22,297 probably eligible properties.

Fitness Procedures

I made use of the adopting the five tips out of health and medical care fool around with by which studies was indeed available in the newest ENCV: self-ranked general health (since the a digital indication identifying “decent,” “a beneficial,” otherwise “typical health” off “crappy health”), self-advertised health conditions (problems, crash, dental problem, and other health condition one to don’t cover hospitalization during the the past a month), dong people that advertised people health issues, and you may hospitalization in earlier times a couple months.

Socioeconomic Condition And you may Program Participation

This new SISBEN list (version 3), anywhere between 0 (lowest) so you can a hundred (highest), strategies socioeconomic status. It’s an excellent weighted realization get of living issues that was examined by the a comprehensive house survey big hyperlink. Weights was kept confidential to stop manipulation. Hence, SISBEN index ratings to have people from the ENCV had been determined from the the latest national mathematical institute within the consult, in line with the participants‘ questionnaire answers.

Our very own chief independent adjustable try a binary indication you to definitely caught if or not or perhaps not people member of certain domestic obtained Colombia Gran experts.

Handle Variables

Demographic control variables included ages, gender, relationship condition, variety of potential beneficiaries as well as minors throughout the house, and you may large instructional height achieved.

Analyses

So you’re able to take into account potential opposite causation between health and acknowledgment of a social retirement, we made use of a crucial parameters strategy, implementing an identification method that cheated the huge version into the rollout costs of your own program all over municipalities. The brand new intuition trailing this approach is based on the idea one the program was initially based all over the country instead of prioritization (such as, considering mediocre incomes) certainly one of municipalities. However, the rate from which the application form is actually folded out differed greatly ranging from municipalities (exhibit step 1). Given that reasons for having this type of variations are arguably manifold, since the the application was little known, the adoption was probably passionate so you’re able to a huge the amount of the governmental tend to and you can societal-community effects. 37 Once the roll-aside might have been methodically pertaining to unobserved features impacting the fresh new treatment and you can result variables, particularly aggregate fitness consequences, these distinctions is physically subject to employing local government-height fixed effects and you can a thorough selection of personal-top control.

To empirically bring differential rollout across municipalities with regards to the part of possible eligible anyone indeed searching the applying, i constructed one or two details (one to for the municipality height and one to your sub–town amount of aggregation-that’s, disaggregated by if or not a household resides in a good municipality seat, some other metropolitan means, or an outlying urban area), hence i put given that instruments so you’re able to expect whether or not an eligible household received Colombia Gran. Using an excellent about three-stage important parameters method, we put habits for every single benefit by regressing per lead variable into indicator that grabbed program acknowledgment within house peak and you may integrated fixed outcomes getting municipality and you may season also covariates (discover online appendix showcase A1 for lots more info on the ways). 38

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