IDEAS home Printed from https://ideas.repec.org/a/anp/econom/v9y2008i147-62.html
   My bibliography  Save this article

Nonlinearities and Price Puzzle in Brazil

Author

Listed:
  • Roberto Tatiwa Ferreira

    (Federal University of Ceará)

  • Ivan Castelar

    (Federal University of Ceará)

Abstract

What is called a price puzzle is a positive and persistent response of ination to a unit shock in the interest rate's innovation. Using a VAR to analyse monetary policy in Brazil, this paper comes to the conclusion that when nonlinearities in the data were considered, most of this e_ect vanishes. This is done _rstly by checking if the series are unit root processes or nonlinear trend stationary. After that a nonparametric co-trending analysis was applied. The test result favored a common nonlinear trend between ination and the interest rate, which seems to a_ect the system innovation analysis, inducing most of the price puzzle e_ect.

Suggested Citation

  • Roberto Tatiwa Ferreira & Ivan Castelar, 2008. "Nonlinearities and Price Puzzle in Brazil," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 9(1), pages 47-62.
    • Handle: RePEc:anp:econom:v:9:y:2008:i:1:47-62
    as

    Download full text from publisher

    File URL: http://www.anpec.org.br/revista/vol9/vol9n1p47_62.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
    2. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
    3. International Monetary Fund, 2001. "Brazil: Selected Issues and Statistical Appendix," IMF Staff Country Reports 2001/010, International Monetary Fund.
    4. Cysne, Rubens Penha, 2004. "Is there a price puzzle in Brazil? An application of Bias-Corrected Bootstrap," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 577, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    5. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
    6. Minella, André, 2003. "Monetary Policy and Inflation in Brazil (1975-2000): A VAR Estimation," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 57(3), July.
    7. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    8. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    9. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
    10. Bierens, Herman J., 1997. "Testing the unit root with drift hypothesis against nonlinear trend stationarity, with an application to the US price level and interest rate," Journal of Econometrics, Elsevier, vol. 81(1), pages 29-64, November.
    11. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    12. Eichenbaum, Martin, 1992. "'Interpreting the macroeconomic time series facts: The effects of monetary policy' : by Christopher Sims," European Economic Review, Elsevier, vol. 36(5), pages 1001-1011, June.
    13. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    14. Perron, Pierre, 1990. "Testing for a Unit Root in a Time Series with a Changing Mean," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 153-162, April.
    15. Cati, Regina Celia & Garcia, Marcio G P & Perron, Pierre, 1999. "Unit Roots in the Presence of Abrupt Governmental Interventions with an Application to Brazilian Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 27-56, Jan.-Feb..
    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. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    2. Erdenebat Bataa & Andrew Vivian & Mark Wohar, 2019. "Changes in the relationship between short‐term interest rate, inflation and growth: evidence from the UK, 1820–2014," Bulletin of Economic Research, Wiley Blackwell, vol. 71(4), pages 616-640, October.
    3. Aparicio, Felipe M. & García, Ana, 2003. "Range unit root tests," DES - Working Papers. Statistics and Econometrics. WS ws031126, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Dickinson, David & Liu, Jia, 2007. "The real effects of monetary policy in China: An empirical analysis," China Economic Review, Elsevier, vol. 18(1), pages 87-111.
    5. Vargas-Silva, Carlos, 2008. "Monetary policy and the US housing market: A VAR analysis imposing sign restrictions," Journal of Macroeconomics, Elsevier, vol. 30(3), pages 977-990, September.
    6. Evans, Charles L. & Marshall, David A., 1998. "Monetary policy and the term structure of nominal interest rates: Evidence and theory," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 53-111, December.
    7. Charles Nelson & Jeremy Piger & Eric Zivot, 1999. "Unit Root Tests in the Presence of Markov Regime-Switching," Discussion Papers in Economics at the University of Washington 0040, Department of Economics at the University of Washington.
    8. Pierre Perron & Zhongjun Qu, 2006. "An Analytical Evaluation of the Log-periodogram Estimate in the Presence of Level Shifts and its Implications for Stock Returns Volatility," Boston University - Department of Economics - Working Papers Series WP2006-016, Boston University - Department of Economics.
    9. Thanabalasingam Vinayagathasan, 2014. "Monetary policy and the real economy: A structural VAR approach for Sri Lanka," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 4(1), pages 41-64, January.
    10. John W. Keating & Logan J. Kelly & A. Lee Smith & Victor J. Valcarcel, 2019. "A Model of Monetary Policy Shocks for Financial Crises and Normal Conditions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(1), pages 227-259, February.
    11. Cati, Regina Celia & Garcia, Marcio G P & Perron, Pierre, 1999. "Unit Roots in the Presence of Abrupt Governmental Interventions with an Application to Brazilian Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 27-56, Jan.-Feb..
    12. Jeremy Lawson & Daniel Rees, 2008. "A Sectoral Model of the Australian Economy," RBA Research Discussion Papers rdp2008-01, Reserve Bank of Australia.
    13. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    14. R. Bonci & F. Columba, 2008. "Monetary policy effects: new evidence from the Italian flow-of-funds," Applied Economics, Taylor & Francis Journals, vol. 40(21), pages 2803-2818.
    15. Mohd Zaini Abd Karim & Amy Azhar Mohd Harif & Azira Adziz, 2006. "Monetary Policy and Sectoral Bank Lending in Malaysia," Global Economic Review, Taylor & Francis Journals, vol. 35(3), pages 303-326.
    16. Cucciniello, Maria Chiara & Deleidi, Matteo & Levrero, Enrico Sergio, 2022. "The cost channel of monetary policy: The case of the United States in the period 1959–2018," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 409-433.
    17. Bierens, H.J., 1996. "Nonparametric Nonlinear Cotrending Analysis, with an Application to Interest and Inflation in the U.S," Discussion Paper 1996-62, Tilburg University, Center for Economic Research.
    18. Kevin S. Nell, 1999. "The Relation Between Money, Income and Prices in South Africa," Studies in Economics 9909, School of Economics, University of Kent.
    19. Sandberg, Rickard, 2016. "Trends, unit roots, structural changes, and time-varying asymmetries in U.S. macroeconomic data: the Stock and Watson data re-examined," Economic Modelling, Elsevier, vol. 52(PB), pages 699-713.
    20. Imke Brüggemann, 2003. "Measuring Monetary Policy in Germany: A Structural Vector Error Correction Approach," German Economic Review, Verein für Socialpolitik, vol. 4(3), pages 307-339, August.

    More about this item

    Keywords

    Monetary Policy; Nonlinearities; Nonlinear Trend; Co-Trending; Common Treds; Price Puzzle;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:anp:econom:v:9:y:2008:i:1:47-62. 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: Rodrigo Zadra Armond (email available below). General contact details of provider: https://edirc.repec.org/data/anpecea.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.