IDEAS home Printed from https://ideas.repec.org/p/fgv/eesptd/459.html
   My bibliography  Save this paper

The aftermath of 2008 turmoil on Brazilian economy: Tsunami or “Marolinha”?

Author

Listed:
  • Marçal, Emerson Fernandes
  • Cunha, Ronan
  • Merlin, Giovanni Tondin
  • Simões, Oscar

Abstract

Financial events in 2008 had global impacts. We test whether U.S downturn had an impact on Brazilian economic activity and if it was unusual. We run policy ineffectiveness test (Pesaran and Smith [2014, 2016]) and Chow test. The rejection of the null hypothesis in the first test shows that financial events had impacts on Brazilian economy whereas rejection in the second is an evidence of contagion. Our estimates suggest that Brazilian industrial production dropped -9.34% at annual rate basis from December 2007 till June 2009 compared to a scenario of no effect and -6,34% when compared to a scenario of no contagion.

Suggested Citation

  • Marçal, Emerson Fernandes & Cunha, Ronan & Merlin, Giovanni Tondin & Simões, Oscar, 2017. "The aftermath of 2008 turmoil on Brazilian economy: Tsunami or “Marolinha”?," Textos para discussão 459, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    • Handle: RePEc:fgv:eesptd:459
    as

    Download full text from publisher

    File URL: https://repositorio.fgv.br/bitstreams/d66c7fff-9c8f-4ed4-877f-230c64ba776e/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Filippo di Mauro & L. Vanessa Smith & Stephane Dees & M. Hashem Pesaran, 2007. "Exploring the international linkages of the euro area: a global VAR analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 1-38.
    2. Pesaran, M. Hashem & Pick, Andreas, 2007. "Econometric issues in the analysis of contagion," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1245-1277, April.
    3. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    4. Hashem Pesaran, M. & Smith, Ron P., 2016. "Counterfactual analysis in macroeconometrics: An empirical investigation into the effects of quantitative easing," Research in Economics, Elsevier, vol. 70(2), pages 262-280.
    5. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    6. Bussière, Matthieu & Chudik, Alexander & Sestieri, Giulia, 2009. "Modelling global trade flows: results from a GVAR model," Working Paper Series 1087, European Central Bank.
    7. Emmanuel Dubois & Jérôme Hericourt & Valérie Mignon, 2007. "Costs and Benefits of Euro Membership: a Counterfactual Analysis," Working Papers 2007-17, CEPII research center.
    8. M. Hashem Pesaran & Ron P Smith, 2014. "Tests of Policy Ineffectiveness in Macroeconometrics," Birkbeck Working Papers in Economics and Finance 1405, Birkbeck, Department of Economics, Mathematics & Statistics.
    9. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    10. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    11. David F. Hendry, 2011. "Empirical Economic Model Discovery and Theory Evaluation," Rationality, Markets and Morals, Frankfurt School Verlag, Frankfurt School of Finance & Management, vol. 2(46), October.
    12. Barroso, João Barata R.B. & da Silva, Luiz A. Pereira & Sales, Adriana Soares, 2016. "Quantitative easing and related capital flows into Brazil: Measuring its effects and transmission channels through a rigorous counterfactual evaluation," Journal of International Money and Finance, Elsevier, vol. 67(C), pages 102-122.
    13. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    14. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.
    15. Emmanuel Dubois & Jerome Hericourt & Valerie Mignon, 2009. "What if the euro had never been launched? A counterfactual analysis of the macroeconomic impact of euro membership," Economics Bulletin, AccessEcon, vol. 29(3), pages 2241-2255.
    16. Ms. Yan M Sun & Mr. Frigyes F Heinz & Giang Ho, 2013. "Cross-Country Linkages in Europe: A Global VAR Analysis," IMF Working Papers 2013/194, International Monetary Fund.
    17. Afonso, António & Sousa, Ricardo M., 2011. "What are the effects of fiscal policy on asset markets?," Economic Modelling, Elsevier, vol. 28(4), pages 1871-1890, July.
    18. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    Full references (including those not matched with items on IDEAS)

    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. Michael Funke & Kadri Männasoo & Helery Tasane, 2023. "Regional Economic Impacts of the Øresund Cross-Border Fixed Link: Cui Bono?," CESifo Working Paper Series 10557, CESifo.
    2. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    3. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    4. Bruno Ferman & Cristine Pinto, 2021. "Synthetic controls with imperfect pretreatment fit," Quantitative Economics, Econometric Society, vol. 12(4), pages 1197-1221, November.
    5. Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
    6. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2019. "Inference on average treatment effects in aggregate panel data settings," CeMMAP working papers CWP32/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2018. "A $t$-test for synthetic controls," Papers 1812.10820, arXiv.org, revised Jan 2024.
    8. David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
    9. Povilas Lastauskas & Julius Stakenas, 2018. "Openness And Structural Labor Market Reforms: Ex Ante Counterfactuals," Contemporary Economic Policy, Western Economic Association International, vol. 36(4), pages 723-757, October.
    10. Povilas Lastauskas & Julius Stakenas, 2016. "Openness and Structural Labour Market Reforms: Counterfactuals for Lithuania," Bank of Lithuania Discussion Paper Series 1, Bank of Lithuania.
    11. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    12. Nauro Campos & Fabrizio Coricelli & Luigi Moretti,, 2020. "Choosing Institutional over Economic Integration: Are There Growth Effects?," Working Papers hal-03028143, HAL.
    13. Ruoxuan Xiong & Markus Pelger, 2019. "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers 1910.08273, arXiv.org, revised Jan 2022.
    14. Almer, Christian & Winkler, Ralph, 2017. "Analyzing the effectiveness of international environmental policies: The case of the Kyoto Protocol," Journal of Environmental Economics and Management, Elsevier, vol. 82(C), pages 125-151.
    15. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2021. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1849-1864, October.
    16. Ludovic Gauvin & Cyril C. Rebillard, 2018. "Towards recoupling? Assessing the global impact of a Chinese hard landing through trade and commodity price channels," The World Economy, Wiley Blackwell, vol. 41(12), pages 3379-3415, December.
    17. Bruno Ferman, 2021. "On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1764-1772, October.
    18. Ms. Hélène Poirson & Mr. Sebastian Weber, 2011. "Growth Spillover Dynamics From Crisis to Recovery," IMF Working Papers 2011/218, International Monetary Fund.
    19. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Mar 2024.
    20. Damien Bricard & Zeynep Or & Anne Penneau, 2018. "Méthodologie de l’évaluation d’impact de l’expérimentation Parcours santé des aînés (Paerpa)," Working Papers DT74, IRDES institut for research and information in health economics, revised Jun 2018.

    More about this item

    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:fgv:eesptd:459. 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/eegvfbr.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.