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Comments on the research proposal “School Attendance, Labor Supply and Formality. An Impact Evaluation of PANES” (Team leader: Veronica Amarante) Nguyen.

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Presentation on theme: "Comments on the research proposal “School Attendance, Labor Supply and Formality. An Impact Evaluation of PANES” (Team leader: Veronica Amarante) Nguyen."— Presentation transcript:

1 Comments on the research proposal “School Attendance, Labor Supply and Formality. An Impact Evaluation of PANES” (Team leader: Veronica Amarante) Nguyen Viet Cuong

2 Summary The research aims to evaluate the impacts of a cash transfer program (called Ingreso Ciudadano of PANES) on child labor, child school attendance, household income and labor: Regression discontinuity. Difference-in-differences. The research questions are well defined and very policy relevant: Inform policy makers on the impact of an important antipoverty program. Be helpful for the program improvement.

3 Program description The program selection should be discussed more detailed. It is not clear what criteria and the threshold are used to select the beneficiaries. Is income or score/index (estimated from probit model) used? In addition, it is not very necessary to discuss other components of PANES.

4 Data The date of administrative records of PANES is not mentioned in the proposal. Which data are used as the baseline? If the administrative data are combined with the follow-up surveys for difference-in-differences estimation, they should be consistent in terms of questionnaires, interview instruments and sampling design.

5 Methodology Economic theory on impact of transfers on income and labor? Transfers increase investment => higher long-run impact. Transfer can reduce working incentive => lower long- run/short-run impact.

6 Methodology (cont.) Regression discontinuity: Endogeneity of the transfer program. Endogeneity of score? Difference-in-differences: Attrition problem. Estimation of the impact of the program at the threshold like the regression discontinuity. Other methods: Matching. Fixed-effect regression using panel data.


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