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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.

Suggested Citation

  • Alex Ferreira & Sérgio Naruhiko Sakurai, 2009. "Personal Charisma or the Economy? Macroeconomic Indicators of Presidential Approval Ratings in Brazil," Working Papers 09_09, Universidade de São Paulo, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto.
    • Handle: RePEc:fea:wpaper:09_09
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    References listed on IDEAS

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    1. 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 313-320, May.
    2. 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, September.
    3. 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.
    4. Kevin D. Hoover & Stephen J. Perez, 1999. "Data mining reconsidered: encompassing and the general-to-specific approach to specification search," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 167-191.
    5. Henrik Jordahl, 2006. "An economic analysis of voting in Sweden," Public Choice, Springer, vol. 127(3), pages 251-265, June.
    6. 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.
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    2. Rodrigo Cerda & Natalia Gallardo & Rodrigo Vergara, 2017. "Political approval ratings and economic performance: evidence from Latin America," Estudios Públicos 23, Centro de Estudios Públicos.
    3. Bahram Adrangi & Joseph Macri, 2019. "Does the Misery Index Influence a U.S. President’s Political Re-Election Prospects?," JRFM, MDPI, vol. 12(1), pages 1-11, February.

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    Keywords

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    JEL classification:

    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism
    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration
    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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