Other Initiatives | Evidence Based Policy Making

Other initiatives

Fostering capacities in Impact Evaluation in Latin America

While the region has seen an increase in the number of impact evaluations aimed at measuring the causal impact of programs or policies, the technical capacities to conduct such studies are still limited, and particularly so in poorer countries. With the support of IDRC-Canada, CEDLAS will develop a series of activities aimed at addressing this issue. Initiatives include short intensive training courses, support for dissertations in specific methodologies and professional development activities.

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Training in Impact Evaluation for Latin America Think Tank researchers

A new evaluation paradigm that originated in academia is making inroads in policy circles. Policymakers have increasingly recognized the need to establish the impact of different government policies in terms of causality. However, until a few years ago,most of this type ofresearchwas conducted by researchers in developed countriesand primarily targeted academic audiences. While Latin America has witnessed an increase in the number of impact evaluations conducted in the region and led by local researchers, there is substantial room for improvement. This project develops several activities that are oriented towards enhancing capacities for impact evaluation in the region in the context of a joint collaboration between the Centro de Estudios Distributivos Laborales y Sociales (CEDLAS), at Universidad de la Plata, Argentina and Grupo de Analisis para el Desarrollo (GRADE), Peru.

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Survey Project on La Plata Floods

On April 2, 2013 Ciudad de La Plata, the capital of the Province of Buenos Aires in Argentina, suffered intense rainfall and flooding that caused one in every three households to be affected. In a joint initiative, the Universidad Nacional de La Plata (UNLP), UNLP’s Facultad de Ciencias Económicas (FCE) and the Center for Distributive, Labor and Social Studies (CEDLAS) conducted a representative survey of the city to measure different variables affected by the heavy precipitations.