IDEAS home Printed from https://ideas.repec.org/p/fea/wpaper/09_09.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: ftp://cpq.fearp.usp.br:2300/textos_discussao/eco/wpe09_09.pdf
    File Function: First version, 2009
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Henrik Jordahl, 2006. "An economic analysis of voting in Sweden," Public Choice, Springer, vol. 127(3), pages 251-265, June.
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rodrigo Cerda & Natalia Gallardo & Rodrigo Vergara, 2017. "Political approval ratings and economic performance: evidence from Latin America," Estudios Públicos 23, Centro de Estudios Públicos.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gikas A. Hardouvelis & Dimitrios D. Thomakos, 2007. "Consumer Confidence and Elections," Working Paper series 42_07, Rimini Centre for Economic Analysis.
    2. Jeffrey S. DeSimone & Courtney LaFountain, 2007. "Still the Economy, Stupid: Economic Voting in the 2004 Presidential Election," NBER Working Papers 13549, National Bureau of Economic Research, Inc.
    3. Sakurai, Sergio N. & Menezes, Naercio A., 2008. "Fiscal policy and reelection in Brazilian municipalities," Insper Working Papers wpe_117, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    4. Rodrigo Martins & Francisco Veiga, 2013. "Economic voting in Portuguese municipal elections," Public Choice, Springer, vol. 155(3), pages 317-334, June.
    5. Neil R. Ericsson, 2021. "Dynamic Econometrics in Action: A Biography of David F. Hendry," International Finance Discussion Papers 1311, Board of Governors of the Federal Reserve System (U.S.).
    6. Brainerd, Elizabeth & Siegler, Mark V, 2003. "The Economic Effects of the 1918 Influenza Epidemic," CEPR Discussion Papers 3791, C.E.P.R. Discussion Papers.
    7. Castle Jennifer L. & Doornik Jurgen A & Hendry David F., 2011. "Evaluating Automatic Model Selection," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-33, February.
    8. R Burger & S du Plessis, 2011. "Examining the Robustness of Competing Explanations of Slow Growth in African Countries," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 35(3), pages 21-47, December.
    9. Lora, Eduardo, 2008. "El futuro de los pactos fiscales en América Latina," Coediciones, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 1310, May.
    10. Kapetanios, George & Marcellino, Massimiliano & Papailias, Fotis, 2016. "Forecasting inflation and GDP growth using heuristic optimisation of information criteria and variable reduction methods," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 369-382.
    11. Chris Birchenhall & Denise Osborn & Marianne Sensier, 2001. "Predicting UK Business Cycle Regimes," Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(2), pages 179-195, May.
    12. Banerjee, Anindya & Marcellino, Massimiliano, 2006. "Are there any reliable leading indicators for US inflation and GDP growth?," International Journal of Forecasting, Elsevier, vol. 22(1), pages 137-151.
    13. David F. Hendry & Hans-Martin Krolzig, 2005. "The Properties of Automatic "GETS" Modelling," Economic Journal, Royal Economic Society, vol. 115(502), pages 32-61, March.
    14. Beenstock, Michael & Szpiro, George, 2002. "Specification search in nonlinear time-series models using the genetic algorithm," Journal of Economic Dynamics and Control, Elsevier, vol. 26(5), pages 811-835, May.
    15. Bårdsen Gunnar & Hurn Stanley & McHugh Zöe, 2012. "Asymmetric Unemployment Rate Dynamics in Australia," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-22, January.
    16. David F. Hendry & Grayham E. Mizon, 2016. "Improving the teaching of econometrics," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1170096-117, December.
    17. Mark Richard & Jan Vecer, 2021. "Efficiency Testing of Prediction Markets: Martingale Approach, Likelihood Ratio and Bayes Factor Analysis," Risks, MDPI, vol. 9(2), pages 1-20, February.
    18. Parigi, Giuseppe & Golinelli, Roberto, 2005. "Short-Run Italian GDP Forecasting and Real-Time Data," CEPR Discussion Papers 5302, C.E.P.R. Discussion Papers.
    19. Carlos A. Medel, 2015. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 30(1), pages 57-72, Abril.
    20. George Kapetanios, 2005. "Variable Selection using Non-Standard Optimisation of Information Criteria," Working Papers 533, Queen Mary University of London, School of Economics and Finance.

    More about this item

    Keywords

    approval rating; president; economy;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fea:wpaper:09_09. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bruno Vizona Liberato (email available below). General contact details of provider: https://edirc.repec.org/data/fruspbr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.