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A Comparison of the Forecasting Ability of ECM and VAR Models

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  • LeSage, James P

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Bibliographic Info

Article provided by MIT Press in its journal Review of Economics & Statistics.

Volume (Year): 72 (1990)
Issue (Month): 4 (November)
Pages: 664-71

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Handle: RePEc:tpr:restat:v:72:y:1990:i:4:p:664-71

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Cited by:
  1. Pau Rabanal & Juan Francisco Rubio-Ramirez & Vicente Tuesta Reátegui, 2010. "Cointegrated TFP Processes and International Business Cycles," Working Papers 10-11, Duke University, Department of Economics.
  2. Heather M Anderson & Farshid Vahid, 2010. "VARs, Cointegration and Common Cycle Restrictions," Monash Econometrics and Business Statistics Working Papers 14/10, Monash University, Department of Econometrics and Business Statistics.
  3. Jane Binner & Rakesh Bissoondeeal & Thomas Elger & Alicia Gazely & Andrew Mullineux, 2005. "A comparison of linear forecasting models and neural networks: an application to Euro inflation and Euro Divisia," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 665-680.
  4. Clinebell, John M. & Kahl, Douglas R. & Stevens, Jerry L., 2000. "Integration of LIBOR and Treasury bill yields over different monetary regimes," Global Finance Journal, Elsevier, vol. 11(1-2), pages 17-30.
  5. Tom Stark, 1998. "A Bayesian vector error corrections model of the U.S. economy," Working Papers 98-12, Federal Reserve Bank of Philadelphia.
  6. Rangan Gupta & Alain Kabundi & Stephen M. Miller & Josine Uwilingiye, 2011. "Using Large Data Sets to Forecast Sectoral Employment," Working Papers 1106, University of Nevada, Las Vegas , Department of Economics.
  7. Manfred Fischer, 2012. "In honor of James P. LeSage," Journal of Geographical Systems, Springer, vol. 14(1), pages 1-4, January.
  8. Pierre Malgrange & Catherine Doz, 1992. "Modèles VAR et prévisions à court terme," Économie et Prévision, Programme National Persée, vol. 106(5), pages 109-122.
  9. Florkowski, Wojciech J. & Lai, Yue, 1997. "Cointegration Between Prices of Pecans and Other Edible Nuts: Forecasting and Implications," 1997 Annual Meeting, July 13-16, 1997, Reno\Sparks, Nevada 35870, Western Agricultural Economics Association.
  10. Chew Lian Chua & G. C. Lim & Sarantis Tsiaplias, 2012. "A latent variable approach to forecasting the unemployment rate," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(3), pages 229-244, 04.
  11. Ansari, M. I., 2002. "Impact of financial development, money, and public spending on Malaysian national income: an econometric study," Journal of Asian Economics, Elsevier, vol. 13(1), pages 72-93.
  12. Villani, Mattias, 2001. "Bayesian prediction with cointegrated vector autoregressions," International Journal of Forecasting, Elsevier, vol. 17(4), pages 585-605.
  13. Iqbal, Javed, 2001. "Forecasting methods: a comparative analysis," MPRA Paper 23856, University Library of Munich, Germany, revised 2001.
  14. Chow, Hwee Kwan & Choy, Keen Meng, 2006. "Forecasting the global electronics cycle with leading indicators: A Bayesian VAR approach," International Journal of Forecasting, Elsevier, vol. 22(2), pages 301-315.
  15. Varshavsky, Alexander, 2009. "Questionable Innovations in Data Processing with Incomplete Information about the Analyzed System in Absence of Applications Limitations," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 16(4), pages 116-133.
  16. Ricardo Mourinho Félix & Luís Catela Nunes, 2003. "Forecasting Euro Area Aggregates with Bayesian VAR and VECM Models," Working Papers w200304, Banco de Portugal, Economics and Research Department.
  17. Poskitt, D. S., 2003. "On the specification of cointegrated autoregressive moving-average forecasting systems," International Journal of Forecasting, Elsevier, vol. 19(3), pages 503-519.

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