IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpma/9504003.html
   My bibliography  Save this paper

Estimating and Projecting Potential Output Using Structural VAR Methodology

Author

Listed:
  • Alain DeSerres
  • Alain Guay
  • Pierre St-Amant

Abstract

In this paper the authors show how potential output can be estimated and projected through an approach derived from the structural vector autoregression methodology. This approach is applied to the Mexican economy. To identify demand, supply and world oil shocks, the authors assume that demand shocks do not have a permanent effect on output and that the international price of oil is exogenous to the Mexican economy in the long term. They then calculate potential output by adding the world oil and supply components to the drift in output. They find that world oil shocks have been an important source of both actual and potential output fluctuations over a sample period extending from 1965 to 1994. However, they also find occurrences of important gaps between actual and potential output.

Suggested Citation

  • Alain DeSerres & Alain Guay & Pierre St-Amant, 1995. "Estimating and Projecting Potential Output Using Structural VAR Methodology," Macroeconomics 9504003, EconWPA.
  • Handle: RePEc:wpa:wuwpma:9504003
    Note: 24 printed pages, compressed PostScript file. Other recent Bank of Canada working papers are listed on the last page of this report. Bank of Canada
    as

    Download full text from publisher

    File URL: http://econwpa.repec.org/eps/mac/papers/9504/9504003.pdf
    Download Restriction: no

    File URL: http://econwpa.repec.org/eps/mac/papers/9504/9504003.ps.gz
    Download Restriction: no

    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-16.
    3. Alain DeSerres & Alain Guay, 1995. "Selection of the Truncation Lag in Structural VARs (or VECMs) with Long-Run Restrictions," Econometrics 9510001, EconWPA.
    4. Evans, George & Reichlin, Lucrezia, 1994. "Information, forecasts, and measurement of the business cycle," Journal of Monetary Economics, Elsevier, vol. 33(2), pages 233-254, April.
    5. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    6. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    7. Matthew Shapiro & Mark Watson, 1988. "Sources of Business Cycles Fluctuations," NBER Chapters,in: NBER Macroeconomics Annual 1988, Volume 3, pages 111-156 National Bureau of Economic Research, Inc.
    8. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    9. Olivier J. Blanchard & Mark W. Watson, 1986. "Are Business Cycles All Alike?," NBER Chapters,in: The American Business Cycle: Continuity and Change, pages 123-180 National Bureau of Economic Research, Inc.
    10. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    11. Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-368, July.
    12. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    13. Lafrance, Robert & St-Amant, Pierre, 2000. "Les zones monétaires optimales," L'Actualité Economique, Société Canadienne de Science Economique, vol. 76(4), pages 577-612, décembre.
    14. Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
    15. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    16. John F. Boschen & Leonard O. Mills, 1990. "Monetary policy with a new view of potential GNP," Business Review, Federal Reserve Bank of Philadelphia, issue Jul, pages 3-10.
    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. St-Amant, P., 1996. "Decomposing U.S. Nominal Interest Rates into Expected Inflation and Ex Ante Real Interest rates Using Structural VAR Methodology," Staff Working Papers 96-2, Bank of Canada.
    2. Vigfusson, Robert, 1997. "Switching between Chartists and Fundamentalists: A Markov Regime-Switching Approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(4), pages 291-305, October.
    3. Martha Misas & Enrique López, 1999. "El producto potencial en Colombia: una estimación bajo var estructural," COYUNTURA ECONÓMICA, FEDESARROLLO, September.
    4. José Ignacio Castillo Manzano & Fernando González Laxe & Lourdes López Valpuesta, 2006. "Una Introducción al Análisis del Tráfico de Contenedores mediante los Vectores Autoregresivos," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 5, pages 1-23, January.
    5. Van Norden, S. & Vigfusson, R., 1996. "Regime-Switching Models, A guide to the Bank of Canada Gauss Procedures," Staff Working Papers 96-3, Bank of Canada.
    6. Nicholas Ricketts & David Rose, 1995. "Inflation, Learning and Monetary Policy Regimes in the G-7 Economies," Macroeconomics 9506004, EconWPA, revised 15 Feb 1996.
    7. Joseph Atta-Mensah, 1996. "The Empirical Performance of Alternative Monetary and Liquidity Aggregates," Macroeconomics 9601001, EconWPA.
    8. Nicholas Ricketts & David Rose, "undated". "Inflation, Learning And Monetary Policy Regimes In The G-7 Economies," Staff Working Papers 95-6, Bank of Canada.

    More about this item

    JEL classification:

    • E - Macroeconomics and Monetary Economics

    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:wpa:wuwpma:9504003. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA). General contact details of provider: http://econwpa.repec.org .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.