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A Comparison of the Forecasting Ability of ECM and VAR Models

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  1. Chew Lian Chua & Sarantis Tsiaplias, 2009. "Can consumer sentiment and its components forecast Australian GDP and consumption?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(8), pages 698-711.
  2. Rabanal, Pau & Rubio-Ramírez, Juan F. & Tuesta, Vicente, 2011. "Cointegrated TFP processes and international business cycles," Journal of Monetary Economics, Elsevier, vol. 58(2), pages 156-171, March.
  3. Papana, A. & Kyrtsou, K. & Kugiumtzis, D. & Diks, C.G.H., 2014. "Identifying causal relationships in case of non-stationary time series," CeNDEF Working Papers 14-09, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  4. Rangan Gupta & Alain Kabundi & Stephen Miller & Josine Uwilingiye, 2014. "Using large data sets to forecast sectoral employment," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(2), pages 229-264, June.
  5. Manfred Fischer, 2012. "In honor of James P. LeSage," Journal of Geographical Systems, Springer, vol. 14(1), pages 1-4, January.
  6. P. Geoffrey Allen & Robert Fildes, 2005. "Levels, Differences and ECMs – Principles for Improved Econometric Forecasting," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 881-904, December.
  7. 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.
  8. Rangan Gupta & Sonali Das, 2008. "Spatial Bayesian Methods Of Forecasting House Prices In Six Metropolitan Areas Of South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 76(2), pages 298-313, June.
  9. Michelle Casario, 1996. "North American Free Trade Agreement Bilateral Trade Effects," Contemporary Economic Policy, Western Economic Association International, vol. 14(1), pages 36-47, January.
  10. Jeff B. Cromwell & Michael J. Hannan, 1993. "The Utility of Impulse Response Functions in Regional Analysis: Some Critical Issues," International Regional Science Review, , vol. 15(2), pages 199-222, August.
  11. Yusifzada, Tural, 2022. "Response of Inflation to the Climate Stress: Evidence from Azerbaijan," MPRA Paper 116522, University Library of Munich, Germany, revised 20 Sep 2022.
  12. Tom Stark, 1998. "A Bayesian vector error corrections model of the U.S. economy," Working Papers 98-12, Federal Reserve Bank of Philadelphia.
  13. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2022. "Common factors and the dynamics of cereal prices. A forecasting perspective," Journal of Commodity Markets, Elsevier, vol. 28(C).
  14. Shoesmith, Gary L., 1995. "Multiple cointegrating vectors, error correction, and forecasting with Litterman's model," International Journal of Forecasting, Elsevier, vol. 11(4), pages 557-567, December.
  15. 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.
  16. Sarantis Tsiaplias & Chew Lian Chua, 2010. "Forecasting Australian Macroeconomic Variables Using A Large Dataset," Australian Economic Papers, Wiley Blackwell, vol. 49(1), pages 44-59, March.
  17. Rangan Gupta, 2009. "Bayesian Methods Of Forecasting Inventory Investment," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 113-126, March.
  18. Villani, Mattias, 2001. "Bayesian prediction with cointegrated vector autoregressions," International Journal of Forecasting, Elsevier, vol. 17(4), pages 585-605.
  19. James P. LeSage & Zheng Pan, 1995. "Using Spatial Contiguity as Bayesian Prior Information in Regional Forecasting Models," International Regional Science Review, , vol. 18(1), pages 33-53, January.
  20. 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.
  21. Barabas, György & Gebhardt, Heinz & Münch, Heinz Josef & Schmidt, Christoph M. & Schmidt, Torsten & Breitung, Jörg, 2005. "Methoden mittelfristiger gesamtwirtschaftlicher Projektionen: Dienstleistungsvorhaben im Auftrag des Bundesministeriums für Wirtschaft und Arbeit, Projektnummer 02/05. Vorläufiger Endbericht," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 69948.
  22. 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.
  23. 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.
  24. 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, April.
  25. Varshavsky, Alexander, 2009. "Questionable Innovations in Data Processing with Incomplete Information about the Analyzed System in Absence of Applications Limitations," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 16(4), pages 116-133.
  26. T.J. Brailsford & J. H.W. Penm & R.D. Terrell, 2006. "The Equivalence of Causality Detection in VAR and VECM Modeling with Applications to Exchange Rates," Multinational Finance Journal, Multinational Finance Journal, vol. 10(3-4), pages 153-178, September.
  27. Luís Catela Nunes, 2003. "Forecasting Euro Area Aggregates with Bayesian VAR and VECM Models," Working Papers w200304, Banco de Portugal, Economics and Research Department.
  28. Iqbal, Javed, 2001. "Forecasting methods: a comparative analysis," MPRA Paper 23856, University Library of Munich, Germany, revised 2001.
  29. Angeliki Papana & Catherine Kyrtsou & Dimitris Kugiumtzis & Cees Diks, 2023. "Identification of causal relationships in non-stationary time series with an information measure: Evidence for simulated and financial data," Empirical Economics, Springer, vol. 64(3), pages 1399-1420, March.
  30. 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.
  31. Kuo, Chen-Yin, 2016. "Does the vector error correction model perform better than others in forecasting stock price? An application of residual income valuation theory," Economic Modelling, Elsevier, vol. 52(PB), pages 772-789.
  32. Chen-Yin Kuo, 2017. "Is the accuracy of stock value forecasting relevant to industry factors or firm-specific factors? An empirical study of the Ohlson model," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 195-225, July.
  33. Catherine Doz & Pierre Malgrange, 1992. "Modèles VAR et prévisions à court terme," Économie et Prévision, Programme National Persée, vol. 106(5), pages 109-122.
  34. 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.
  35. Ansari, Mohammed I., 2004. "Sustainability of the US current account deficit: An econometric analysis of the impact of capital inflow on domestic economy," Journal of Applied Economics, Universidad del CEMA, vol. 7(2), pages 1-21, November.
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