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Personal Charisma or the Economy? Macroeconomic Indicators of Presidential Approval Ratings in Brazil

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  • Alex Ferreira
  • Sérgio Naruhiko Sakurai

Abstract

We test the degree to which presidential approval ratings are related to a series of eco- nomic indicators, controlling for the political scenario in Brazil. Results, from 1999M9 until 2009M2, show that unemployment is the main variable that a®ects the ratings. There is also evidence that President Luis In¶acio Lula da Silva has a higher approval rate (approximately 7%) than President Fernando Henrique Cardoso, keeping constant a reasonable number of important domestic and foreign indicators. Our results support the conclusion that the good state of the economy (given no political turmoil) is the main factor that explains and predicts Lula's high popularity.

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Bibliographic Info

Paper provided by Universidade de São Paulo, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto in its series Working Papers with number 09_09.

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Date of creation: 2009
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Handle: RePEc:fea:wpaper:09_09

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Keywords: approval rating; president; economy;

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  1. Andrew Leigh & Justin Wolfers, 2006. "Competing Approaches to Forecasting Elections: Economic Models, Opinion Polling and Prediction Markets," The Economic Record, The Economic Society of Australia, vol. 82(258), pages 325-340, 09.
  2. Jordahl, Henrik, 2002. "An Economic Analysis of Voting in Sweden," Ratio Working Papers 16, The Ratio Institute.
  3. Adi Brender & Allan Drazen, 2005. "How Do Budget Deficits and Economic Growth Affect Reelection Prospects? Evidence from a Large Cross-Section of Countries," NBER Working Papers 11862, National Bureau of Economic Research, Inc.
  4. Chappell, Henry W, Jr, 1990. "Economic Performance, Voting, and Political Support: A Unified Approach," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 313-20, May.
  5. Rodrigo Cerda & Rodrigo Vergara, 2007. "Business cycle and political election outcomes: Evidence from the Chilean democracy," Public Choice, Springer, vol. 132(1), pages 125-136, July.
  6. Kevin Hoover & Stephen J. Perez, 2003. "Data Mining Reconsidered: Encompassing And The General-To-Specific Approach To Specification Search," Working Papers 9727, University of California, Davis, Department of Economics.
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