Wednesday, March 14, 2018

The Internal and External Validity of the Regression Discontinuity Design: A Meta-Analysis of 15 Within-Study-Comparisons | JPAM Featured Article

Regression discontinuity (RD) is generally acknowledged as the most rigorous non-experimental method for obtaining internally valid impact estimates. The study tests the efficacy of RD by comparing RD causal estimates at the treatment cutoff to those from Randomized Control Trials also estimated at this same cutoff. The study identifies 15 previously completed within-study-comparisons that explicitly examined this issue by assuming the RCT results are unbiased and comparing them to RD results.


Policy Analysis in Brazil

August 5, 2013 10:39 AM

New on bookshelves is Policy Analysis in Brazil, part of the International Library of Policy Analysis. It is the first book to paint a comprehensive panorama of policy analysis activities in Brazil. Highlighting the unique features of the Brazilian example, it brings together 18 studies by leading Brazilian social scientists on policy analysis as a widespread activity pursued in a variety of policy fields and through different methods by governmental and non-governmental institutions and actors. 

Policy Analysis in Brazil shows how policy analysis emerged as part of Brazilian state-building from the 1930s onwards. With the democratization process of the late 1980s, policy analysis began to include innovative elements of social participation in public management. This unique book offers key insights into the practice of this field and is indispensable reading for scholars, policy makers and students of the social sciences interested in learning how policy analysis developed and functions in Brazil.

The book is edited by Jeni Vaitsman, a senior researcher at the Escola Nacional de Saúde Pública Fundação Oswaldo Cruz; José Mendes Ribeiro, a senior researcher at the Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz; and Lenaura de Vasconcelos Costa Lobato, a professor at Universidade Federal Fluminense in Rio de Janeiro.


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