Government Quality and State Capacity: Survey Results from Brazil
This report presents the Governance Project Survey in Brazil and general results. The survey is part of the Governance Project, conducted by the Center on Democracy, Development and the Rule of Law (CDDRL) of Stanford University in partnership with the Institute of Applied Economics Research (Instituto de Pesquisa Econômica Aplicada, IPEA), an agency of the Brazilian federal government. The survey was administered to civil servants of the Brazilian federal public administration between May 15 and July 17, 2018, totaling 3,226 respondents, which encompasses career bureaucrats and appointed positions in the federal executive branch of the Brazilian government. Our survey measures key components of bureaucratic capacity, autonomy, and other related concepts. The collection of responses in Brazil was carried out with the support of the Brazilian Ministry of Planning’s (MPDG) Secretariat for Personnel Management and Labor Relations.
Contributors:
Ana Karine Pereira
Ph.D. in Political Science from UnB
Visiting researcher at Ipea
Professor at UFG
Raphael Amorim Machado
Ph.D. in Political Science from Unicamp
Visiting researcher at Ipea
Pedro Luiz Costa Cavalcante
Ph.D. in Political Science from UnB
Specialist in Public Policy and Government Management IPEA
Alexandre de Ávila Gomide
Ph.D. in Public Administration and Government by FGV
IPEA Planning and Research Technician
Katherine Bersch
Ph.D. in Political Science from University of Texas at Austin
Research Affiliate, Stanford Governance Project
Assistant Professor, Department of Political Science, Davidson College
Francis Fukuyama
Ph.D. in Political Science from Harvard
Senior Fellow at Stanford University’s FSI and the Mosbacher Director of CDDRL
Amanda Gomes Magalhães
Master in Political Science UnB
Research Assistant IPEA
Isabella de Araújo Goellner
Master in Sociology UnB
Research Assistant IPEA
Roberto Rocha Coelho Pires
Ph.D. in Public Policy MIT
IPEA Planning and Research Technician
Alan Ricardo da Silva
Post-Doctorate in Spatial Statistics by University of St Andrews, Scotland, UK
Associate Professor, Department of Statistics UnB