IDEAS home Printed from https://ideas.repec.org/p/bca/bocawp/95-2.html
   My bibliography  Save this paper

Estimating and Projecting Potential Output Using Structural VAR Methodology: The Case of the Mexican Economy

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. Dans la presente etude, les auteurs montrent qu'il est possible d'estimer et de prevoir le niveau de production potentielle en utilisant une approche derivee de la methode structurelle d'autoregression vectorielle. Cette approche est appliquee dans la modelisation de l'economie mexicaine. Pour identifier les chocs de demande et d'offre et les chocs de prix mondiaux du petrole, les auteurs font l'hypothese que les chocs de demande n'ont pas d'effet permanent sur la production et que les cours mondiaux du petrole sont exogenes a l'economie mexicaine a long terme. Ils calculent la production potentielle en ajoutant les composantes des prix petroliers et de l'offre a la derive de la production. Les auteurs constatent que les chocs de prix mondiaux du petrole ont ete une cause importante de variations de la production observee et potentielle au cours de la periode 1965-1994, mais decouvrent egalement d'importants ecarts entre la production observee et potentielle.

Suggested Citation

  • Alain DeSerres & Alain Guay & Pierre St-Amant, "undated". "Estimating and Projecting Potential Output Using Structural VAR Methodology: The Case of the Mexican Economy," Staff Working Papers 95-2, Bank of Canada.
    • Handle: RePEc:bca:bocawp:95-2
    as

    Download full text from publisher

    File URL: https://www.bankofcanada.ca/wp-content/uploads/2010/05/wp95-2.pdf
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    4. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Win), pages 2-16.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. Robert J. Gordon, 1986. "The American Business Cycle: Continuity and Change," NBER Books, National Bureau of Economic Research, Inc, number gord86-1.
    7. Alain DeSerres & Alain Guay, 1995. "Selection of the Truncation Lag in Structural VARs (or VECMs) with Long-Run Restrictions," Econometrics 9510001, University Library of Munich, Germany.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
    14. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    15. Matthew D. Shapiro & Mark W. Watson, 1988. "Sources of Business Cycle Fluctuations," NBER Chapters, in: NBER Macroeconomics Annual 1988, Volume 3, pages 111-156, National Bureau of Economic Research, Inc.
    16. 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.
    17. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    18. 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.
    19. 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. Pierre St-Amant, 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. Ben Smit & Le Roux Burrows, 2002. "Estimating potential output and output gaps for the South African economy," Working Papers 05/2002, Stellenbosch University, Department of Economics.
    3. Pierre St-Amant & Simon van Norden, 1997. "Measurement of the Output Gap: A Discussion of Recent Research at the Bank of Canada," Technical Reports 79, Bank of Canada.
    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. Leo Butler, 1996. "The Bank of Canada's New Quarterly Porjection Model Part 4 : A Semi- Structural Method to Estimate Potential Output : Combining Economic Theory with a Time-Series Filter," Technical Reports 77, Bank of Canada.
    6. Simon van Norden, 1995. "Why Is It So Hard to Measure the Current Output Gap?," Macroeconomics 9506001, University Library of Munich, Germany.
    7. Proietti, Tommaso, 1999. "Structural Time Series Modelling of Capacity Utilisation," MPRA Paper 62621, University Library of Munich, Germany.
    8. Martha Misas A. & Carlos Esteban Posada, 2000. "Crecimiento y Ciclos Económicos en Colombia en el siglo XX: El Aporte de un VAR Estructural," Borradores de Economia 2229, Banco de la Republica.
    9. Houda Ben Hadj Boubaker, 2011. "Inflation Forecast-Based Rule for Inflation Targeting: Case of Some Selected MENA Countries," Working Papers 628, Economic Research Forum, revised 09 Jan 2011.
    10. Murray, John & Schembri, Lawrence & St-Amant, Pierre, 2003. "Revisiting the case for flexible exchange rates in North America," The North American Journal of Economics and Finance, Elsevier, vol. 14(2), pages 207-240, August.
    11. Steven Morling, 2002. "Output Adjustment in Developing Countries: a Structural Var Approach," Discussion Papers Series 307, School of Economics, University of Queensland, Australia.
    12. Ashwin Madhou, 2015. "Demystifying output gap pressure through surveys in a monetary analysis setting: an experimental perspective," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39, Bank for International Settlements.
    13. José Ronaldo de Castro Souza Júnior, 2005. "Produto Potencial: Conceitos, Métodos de Estimação e Aplicação à Economia Brasileira," Discussion Papers 1130, Instituto de Pesquisa Econômica Aplicada - IPEA.
    14. Jeannine Bailliu & Daniel Garcés & Mark Kruger & Miguel Messmacher, 2003. "Explaining and Forecasting Inflation in Emerging Markets: The Case of Mexico," Staff Working Papers 03-17, Bank of Canada.
    15. Mark S Astley & Tony Yates, 1999. "Inflation and real disequilibria," Bank of England working papers 103, Bank of England.
    16. Hassan, Syeda Anam & Zaman, Khalid, 2012. "Effect of oil prices on trade balance: New insights into the cointegration relationship from Pakistan," Economic Modelling, Elsevier, vol. 29(6), pages 2125-2143.

    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. Alain DeSerres & Alain Guay & Pierre St-Amant, 1995. "Estimating and Projecting Potential Output Using Structural VAR Methodology," Macroeconomics 9504003, University Library of Munich, Germany.
    2. Chantal Dupasquier & Alain Guay & Pierre St-Amant, 1997. "A Comparison of Alternative Methodologies for Estimating Potential Output and the Output Gap," Staff Working Papers 97-5, Bank of Canada.
    3. Pierre St-Amant, 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.
    4. Dupasquier, Chantal & Guay, Alain & St-Amant, Pierre, 1999. "A Survey of Alternative Methodologies for Estimating Potential Output and the Output Gap," Journal of Macroeconomics, Elsevier, vol. 21(3), pages 577-595, July.
    5. M. T. Alguacil & V. Orts, 2003. "Inward Foreign Direct Investment and Imports in Spain," International Economic Journal, Taylor & Francis Journals, vol. 17(3), pages 19-38.
    6. Faust, Jon & Whiteman, Charles H., 1997. "General-to-specific procedures for fitting a data-admissible, theory-inspired, congruent, parsimonious, encompassing, weakly-exogenous, identified, structural model to the DGP: A translation and criti," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 47(1), pages 121-161, December.
    7. M.T. Alguacil & V. Orts, "undated". "A multivariate cointegrated model testing for temporal causality between exports and outward FDI: The Spanish case," Studies on the Spanish Economy 50, FEDEA.
    8. Pierre St-Amant & Simon van Norden, 1997. "Measurement of the Output Gap: A Discussion of Recent Research at the Bank of Canada," Technical Reports 79, Bank of Canada.
    9. M.S.Rafiq, 2006. "Business Cycle Moderation - Good Policies or Good Luck: Evidence and Explanations for the Euro Area," Discussion Paper Series 2006_21, Department of Economics, Loughborough University.
    10. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    11. Catherine Bruneau & Olivier De Bandt, 1999. "La modélisation Var "structurel" : application à la politique monétaire en France," Économie et Prévision, Programme National Persée, vol. 137(1), pages 67-94.
    12. Jose A. Lopez, 1996. "Exchange rate cointegration across central bank regime shifts," Research Paper 9602, Federal Reserve Bank of New York.
    13. Iris Claus, 1997. "A Measure of Underlying Inflation in the United States," Staff Working Papers 97-20, Bank of Canada.
    14. Kumah, F.Y., 1996. "Common Stochastic Trends in the Current Account," Other publications TiSEM a4536d58-c31a-45bc-97f5-4, Tilburg University, School of Economics and Management.
    15. Johannes W. Fedderke, 2022. "Identifying supply and demand shocks in the South African Economy, 1960–2020," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 349-389, September.
    16. David I. Stern & Robert K. Kaufmann, 1997. "Time series properties of global climate variables: detection and attribution of climate change," Working Papers in Ecological Economics 9702, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    17. Esposti, Roberto, 2002. "Public agricultural R&D design and technological spill-ins: A dynamic model," Research Policy, Elsevier, vol. 31(5), pages 693-717, July.
    18. Norman J. Morin, 2006. "Likelihood ratio tests on cointegrating vectors, disequilibrium adjustment vectors, and their orthogonal complements," Finance and Economics Discussion Series 2006-21, Board of Governors of the Federal Reserve System (U.S.).
    19. Gonzalo, Jesus & Ng, Serena, 2001. "A systematic framework for analyzing the dynamic effects of permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1527-1546, October.
    20. Philip A. Shively, 2001. "Trend-stationary GNP: evidence from a new exact pointwise most powerful invariant unit root test," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 537-551.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bca:bocawp:95-2. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bocgvca.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.