Randomly sampled workfare participants in a welfare-dependent region of Argentina were given a voucher that entitled an employer to a sizable wage subsidy. A second sample also received the option of skill training while a third sample formed the control group. Double-difference and instrumental- variables methods were used to deal with potential experimental biases, including selective compliance with the randomized assignment. Compared to the control group, voucher recipients had a significantly higher probability of employment, though their current incomes were no higher.
The authors assess the impact of Argentina's main social policy response to the severe economic crisis of 2002. The program aimed to provide direct income support for families with dependents, for whom the head had become unemployed due to the crisis. Counterfactual comparisons are based on a matched subset of applicants not yet receiving the program. Panel data spanning the crisis are also used. The authors find that the program reduced aggregate unemployment, though it attracted as many people into the workforce from inactivity, as it did people who would have been otherwise unemployed.
Nonexperimental data are used to evaluate impacts of a Bolivian preschool program on cognitive, psychosocial, and anthropometric outcomes. Impacts are shown to be highly dependent on age and exposure duration. To minimize the effect of distributional assumptions, program impacts are estimated as nonparametric functions of age and duration. A generalized matching estimator is developed and used to control for nonrandom selectivity into the program and into exposure durations.
We apply recent advances in propensity-score matching (PSM) to the problem of estimating the distribution of net income gains from an Argentinean workfare program. PSM has a number of attractive features in this context, including the need to allow for heterogeneous impacts while optimally weighting observed characteristics when forming a comparison group. The average direct gain to the participant is found to be about half the gross wage. Over half of the beneficiaries are in the poorest decile nationally, and 80% are in the poorest quintile.
We provide evidence on the impact of a large construction of pre-primary school facilities in Argentina. We estimate the causal impact of the program on pre-primary school attendance and maternal labor supply. Identification relies on a differences-in-differences strategy where we combine differences across regions in the number of facilities built with differences in exposure across cohorts induced by the timing of the program. We find a sizeable impact of the program on pre-primary school participation among children aged between 3 and 5.
In this paper we evaluate the effect of a large nutrition programme in rural Colombia on children nutritional status, school achievement and female labour supply. We find that the programme has very large and positive impacts. Dealing with the endogeneity of treatment is crucial, as the poorest children tend to select into the programme. Methods like Propensity Score Matching would even yield negative estimates of the impact of the program. Our results are robust to the use of instruments that do not depend on individual household choices.
This research evaluates the "Programa Joven", a training program conducted by the Ministerio del Trabajo of Argentina. We adapt and apply a non-experimental evaluation methodology to answer the following questions: Does "Programa Joven" increase the labor income of the trainees? Does "Programa Joven" increase the probability of being employed? And (3) what is the rate of return to dollars spent on the "Programa Joven"? We used Propensity Scores Matching Estimators as our basic methodology to obtain a measure of the impact of the training program.
This paper evaluates the impact of a randomized training program for disadvantaged youth introduced in Colombia in 2005. This randomized trial offers a unique opportunity to examine the impact of training in developing countries. We use originally collected data on individuals randomly offered and not offered training. The program raises earnings and employment, especially for women. Women offered training earn 18% more and have a 0.05 higher probability of employment than those not offered training, mainly in formal sector jobs.