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Forecasting Accuracy and Estimation Uncertainty using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study

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  • Osmani Teixeira de Carvalho Guillén

    (IBMEC Business School - Rio de Janeiro and Banco Central do Brasil)

  • João Victor Issler

    (Graduate School of Economics - EPGE, Getulio Vargas Foundation)

  • George Athanasopoulos

    (Department of Economics and Business Statistics, Monash University)

Abstract

Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic relationships. The first reduces parameter space by imposing long-term restrictions on the behavior of economic variables as discussed by the literature on cointegration, and the second reduces parameter space by imposing short-term restrictions as discussed by the literature on serial-correlation common features (SCCF). Our simulations cover three important issues on model building, estimation, and forecasting. First, we examine the performance of standard and modified information criteria in choosing lag length for cointegrated VARs with SCCF restrictions. Second, we provide a comparison of forecasting accuracy of fitted VARs when only cointegration restrictions are imposed and when cointegration and SCCF restrictions are jointly imposed. Third, we propose a new estimation algorithm where short- and long-term restrictions interact to estimate the cointegrating and the cofeature spaces respectively. We have three basic results. First, ignoring SCCF restrictions has a high cost in terms of model selection, because standard information criteria chooses too frequently inconsistent models, with too small a lag length. Criteria selecting lag and rank simultaneously have a superior performance in this case. Second, this translates into a superior forecasting performance of the restricted VECM over the VECM, with important improvements in forecasting accuracy - reaching more than 100% in extreme cases. Third, the new algorithm proposed here fares very well in terms of parameter estimation, even when we consider the estimation of long-term parameters, opening up the discussion of joint estimation of short- and long-term parameters in VAR models.

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Bibliographic Info

Paper provided by Economics Research Group, IBMEC Business School - Rio de Janeiro in its series IBMEC RJ Economics Discussion Papers with number 2006-01.

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Date of creation: 02 Jan 2006
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Handle: RePEc:ibr:dpaper:2006-01

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Keywords: reduced rank models; model selection criteria; forecasting accuracy;

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References

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  1. Diebold, Francis X & Kilian, Lutz, 2000. "Measuring Predictability: Theory And Macroeconomic Applications," CEPR Discussion Papers 2424, C.E.P.R. Discussion Papers.
  2. Issler, Joao Victor & Vahid, Farshid, 2006. "The missing link: using the NBER recession indicator to construct coincident and leading indices of economic activity," Journal of Econometrics, Elsevier, Elsevier, vol. 132(1), pages 281-303, May.
  3. Issler, Joao Victor & Vahid, Farshid, 2001. "Common cycles and the importance of transitory shocks to macroeconomic aggregates," Journal of Monetary Economics, Elsevier, Elsevier, vol. 47(3), pages 449-475, June.
  4. Boris Siliverstovs & Tom Engsted & Niels Haldrup, . "Long-run forecasting in multicointegrated systems," Economics Working Papers, School of Economics and Management, University of Aarhus 2002-15, School of Economics and Management, University of Aarhus.
  5. Clements, M.P. & Hendry, D., 1992. "On the Limitations of Comparing Mean Square Forecast Errors," Economics Series Working Papers 99138, University of Oxford, Department of Economics.
  6. Alain W. HECQ, 2005. "Common Trends and Common Cycles in Latin America: A 2-step vs an Iterative Approach," Computing in Economics and Finance 2005, Society for Computational Economics 258, Society for Computational Economics.
  7. Vahid, Farshid & Issler, João Victor, 2001. "The Importance of Common Cyclical Features in VAR Analysis: A Monte-Carlo Study," Economics Working Papers (Ensaios Economicos da EPGE) 417, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  8. John Y. Campbell & N. Gregory Mankiw, 1989. "Consumption, Income and Interest Rates: Reinterpreting the Time Series Evidence," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 185-246 National Bureau of Economic Research, Inc.
  9. Wang, Zijun & Bessler, David A., 2004. "Forecasting performance of multivariate time series models with full and reduced rank: an empirical examination," International Journal of Forecasting, Elsevier, Elsevier, vol. 20(4), pages 683-695.
  10. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 12(2-3), pages 231-254.
  11. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, Elsevier, vol. 16(1), pages 121-130, 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 819-40, September.
  13. Peter F. Christoffersen & Francis X. Diebold, 1997. "Cointegration and long-horizon forecasting," Working Papers 97-14, Federal Reserve Bank of Philadelphia.
  14. repec:fth:harver:1435 is not listed on IDEAS
  15. Vahid, Farshid & Engle, Robert F., 1997. "Codependent cycles," Journal of Econometrics, Elsevier, Elsevier, vol. 80(2), pages 199-221, October.
  16. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : II. New directions," Journal of Monetary Economics, Elsevier, Elsevier, vol. 21(2-3), pages 309-341.
  17. Clements, M.P. & Hendry, D.F., 1992. "Forecasting in Cointegrated Systems," Economics Series Working Papers 99139, University of Oxford, Department of Economics.
  18. Engle, Robert F. & Issler, Joao Victor, 1995. "Estimating common sectoral cycles," Journal of Monetary Economics, Elsevier, Elsevier, vol. 35(1), pages 83-113, February.
  19. Anderson, Heather M. & Victor Issler, Joao & Vahid, Farshid, 2006. "Common features," Journal of Econometrics, Elsevier, Elsevier, vol. 132(1), pages 1-5, May.
  20. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, Econometric Society, vol. 55(2), pages 251-76, March.
  21. Robert F. Engle & Sharon Kozicki, 1990. "Testing For Common Features," NBER Technical Working Papers 0091, National Bureau of Economic Research, Inc.
  22. Lin, Jin-Lung & Tsay, Ruey S, 1996. "Co-integration Constraint and Forecasting: An Empirical Examination," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 11(5), pages 519-38, Sept.-Oct.
  23. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2001. "Testing for Common Cyclical Features in Var Models with Cointegration," CESifo Working Paper Series 451, CESifo Group Munich.
  24. Vahid, F & Engle, Robert F, 1993. "Common Trends and Common Cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 8(4), pages 341-60, Oct.-Dec..
  25. Gerald Carlino & Keith Sill, 1996. "Common trends and common cycles in regional per capita incomes," Working Papers 96-13, Federal Reserve Bank of Philadelphia.
  26. Gonzalo, Jesus, 1994. "Five alternative methods of estimating long-run equilibrium relationships," Journal of Econometrics, Elsevier, Elsevier, vol. 60(1-2), pages 203-233.
  27. Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-28, August.
  28. Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features: Reply," Journal of Business & Economic Statistics, American Statistical Association, American Statistical Association, vol. 11(4), pages 393-95, October.
  29. Hoffman, Dennis L & Rasche, Robert H, 1996. "Assessing Forecast Performance in a Cointegrated System," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 11(5), pages 495-517, Sept.-Oct.
  30. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, Elsevier, vol. 35(1), pages 143-159, May.
  31. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, Econometric Society, vol. 59(6), pages 1551-80, November.
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  1. > Econometrics > Forecasting
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Cited by:
  1. Cysne, Rubens Penha, 2006. "Income Inequality in a Job-Search Model With Heterogeneous Discount Factors (Revised Version, Forthcoming 2006, Revista Economia)," Economics Working Papers (Ensaios Economicos da EPGE) 611, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  2. Torres-Martínez, Juan Pablo & Araújo, Aloísio Pessoa de & Páscoa, Mario Rui, 2006. "Bubbles, Collateral and Monetary Equilibrium," Economics Working Papers (Ensaios Economicos da EPGE) 614, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  3. Carlos Enrique Carrasco Gutierrez & Reinaldo Castro Souza & Osmani Teixeira de Carvalho Guillén, 2009. "Selection of Optimal Lag Length in Cointegrated VAR Models with Weak Form of Common Cyclical Features," Fucape Working Papers, Fucape Business School 16, Fucape Business School.
  4. Bonomo, Marco Antônio Cesar & Terra, Maria Cristina T., 2005. "Special Interests and Political Business Cycles," Economics Working Papers (Ensaios Economicos da EPGE) 597, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  5. Cysne, Rubens Penha, 2006. "An Intra-Household Approach to the Welfare Costs of Inflation (Revised Version, Forthcoming 2006, Estudos Econômicos)," Economics Working Papers (Ensaios Economicos da EPGE) 612, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  6. Flôres Junior, Renato Galvão & Watanuki, Masakazu, 2006. "Integration Options for Mercosul - An Investigation Using the AMIDA Model," Economics Working Papers (Ensaios Economicos da EPGE) 610, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  7. Barbosa, Fernando de Holanda, 2005. "The Contagion Effect of Public Debt on Monetary Policy: The Brazilian Experience," Economics Working Papers (Ensaios Economicos da EPGE) 591, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).

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