Learning and Earning: Evidence from a Randomized Evaluation in India

By Pushkar Maitra, Subha Mani. Social Science Research Network, 2017

133 citations recorded by the source corpus.

This paper estimates the short-and-medium-run effects of participating in a subsidized vocational training program aimed at improving labor market outcomes of women residing in low-income households in a developing country. We combine pre-intervention data with two rounds of post-intervention data from a field experiment to quantify the short-and-medium-run effects of the program. In the short-run, we find that program participants are significantly more likely to be employed, work additional hours, and earn more. These short-run impact estimates are all sustained in the medium-run. We also identify credit constraints, local access, and lack of proper child care support as important barriers to program participation and completion. We are able to rule out two alternative mechanisms -- signalling and change in behavior that can drive these findings. Finally, a simple cost-benefit analysis suggests that the program is highly cost effective.

Subfields: Economics and Econometrics, Gender Studies, Safety Research

View Paper: https://www.semanticscholar.org/paper/2068d47e31905ab31e2338299c5020948e55cc06

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. N. Fiala
  2. Christopher Blattman
  3. David J. McKenzie
  4. Laura R. Ralston
  5. M. Buvinić
  6. Rebecca Furst-Nichols
  7. Sebastian Martinez
  8. Pablo A. Acosta

In Gender Studies

  1. N. Fiala
  2. Christopher Blattman
  3. David J. McKenzie
  4. Sebastian Martinez
  5. S. Franklin
  6. Pedro H. C. Sant’Anna
  7. Jonathan Roth
  8. Stefan Dercon

In Safety Research

  1. David J. McKenzie
  2. N. Fiala
  3. Christopher Blattman
  4. Rebecca Furst-Nichols
  5. M. Buvinić
  6. Sebastian Martinez
  7. Pablo A. Acosta
  8. Robert S. Chase

Citations in the corpus