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Modelling economies in transition: an introduction

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Abstract

This paper considers the implications of structural breaks, such as have occurred in many transition economies, for econometric modelling based on the multivariate cointegration paradigm. It outlines recent developments on the identification of linear cointegrated systems, discusses some practical problems, and presents an extension to non-linear systems. This is followed by a discussion of the impact of structural breaks on the identification and estimation of such systems. Finally, it relates these issues to the other papers in this volume.

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  • Hall, S. & Mizon, G.E. & Welfe, A., 1999. "Modelling economies in transition: an introduction," Discussion Paper Series In Economics And Econometrics 9919, Economics Division, School of Social Sciences, University of Southampton.
  • Handle: RePEc:stn:sotoec:9919
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    1. Robert F. Engle & Joshua V. Rosenberg, 1995. "GARCH Gamma," NBER Working Papers 5128, National Bureau of Economic Research, Inc.
    2. Johansen, Soren, 1992. "Determination of Cointegration Rank in the Presence of a Linear Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 383-397, August.
    3. Davidson, James & Hall, Stephen, 1991. "Cointegration in Recursive Systems," Economic Journal, Royal Economic Society, vol. 101(405), pages 239-251, March.
    4. Anonymous, 1995. "Research Updates," Journal of Food Distribution Research, Food Distribution Research Society, vol. 26(1), February.
    5. Bowden, Roger J, 1973. "The Theory of Parametric Identification," Econometrica, Econometric Society, vol. 41(6), pages 1069-1074, November.
    6. Chow, Gregory C., 1984. "Random and changing coefficient models," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 21, pages 1213-1245 Elsevier.
    7. Saikkonen, Pentti, 1993. "Estimation of Cointegration Vectors with Linear Restrictions," Econometric Theory, Cambridge University Press, vol. 9(01), pages 19-35, January.
    8. Rothenberg, Thomas J, 1971. "Identification in Parametric Models," Econometrica, Econometric Society, vol. 39(3), pages 577-591, May.
    9. Marcellino, Massimiliano & Mizon, Grayham E., 2000. "Modelling shifts in the wage-price and unemployment-inflation relationships in Italy, Poland and the UK," Economic Modelling, Elsevier, vol. 17(3), pages 387-413, August.
    10. Johansen, S ren, 2000. "A Bartlett Correction Factor For Tests On The Cointegrating Relations," Econometric Theory, Cambridge University Press, vol. 16(05), pages 740-778, October.
    11. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    12. Hendry, David F & Doornik, Jurgen A, 1997. "The Implications for Econometric Modelling of Forecast Failure," Scottish Journal of Political Economy, Scottish Economic Society, vol. 44(4), pages 437-461, September.
    13. Neil R. Ericsson & John S. Irons, 1995. "The Lucas critique in practice: theory without measurement," International Finance Discussion Papers 506, Board of Governors of the Federal Reserve System (U.S.).
    14. Pesaran, M. H. & Smith, Ron P., 1998. "Structural Analysis of Cointegrating VARs," Cambridge Working Papers in Economics 9811, Faculty of Economics, University of Cambridge.
    15. Phillips, P C B, 1991. "Optimal Inference in Cointegrated Systems," Econometrica, Econometric Society, vol. 59(2), pages 283-306, March.
    16. Stephen G. Hall & Jennifer V. Greenslade & S. G. Brian Henry, 1999. "On the Identification of Cointegrated Systems in Small Samples: Practical Procedures with an Application to UK Wages and Prices," Computing in Economics and Finance 1999 643, Society for Computational Economics.
    17. Anonymous, 1995. "March 1995 economic forecasts," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 58, March.
    18. Richmond, J, 1976. "Aggregation and Identification," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(1), pages 47-56, February.
    19. Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," Review of Economic Studies, Oxford University Press, vol. 65(3), pages 361-393.
    20. M. Hashem Pesaran & Ron P. Smith, 1998. "Structural Analysis of Cointegrating VARs," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 471-505, December.
    21. Johansen, Soren, 1992. "Testing weak exogeneity and the order of cointegration in UK money demand data," Journal of Policy Modeling, Elsevier, vol. 14(3), pages 313-334, June.
    22. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    23. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    24. Grayham E. Mizon & David F. Hendry, 1998. "Exogeneity, causality, and co-breaking in economic policy analysis of a small econometric model of money in the UK," Empirical Economics, Springer, vol. 23(3), pages 267-294.
    25. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    26. Johansen, Søren & Juselius, Katarina, 1992. "Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 211-244.
    27. Johansen, Soren, 1995. "Identifying restrictions of linear equations with applications to simultaneous equations and cointegration," Journal of Econometrics, Elsevier, vol. 69(1), pages 111-132, September.
    28. Hendry, D.F. & Mizon, G.E., 1999. "On selecting policy analysis models by forecast accuracy," Discussion Paper Series In Economics And Econometrics 9918, Economics Division, School of Social Sciences, University of Southampton.
    29. Clements, Michael P & Hendry, David F, 1996. "Intercept Corrections and Structural Change," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 475-494, Sept.-Oct.
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    1. Moller Andersen, Frits & Celov, Dmitry & Grinderslev, Dorte & Kazlauskas, Arvydas, 2005. "A macro-econometric model of Lithuania LITMOD," Economic Modelling, Elsevier, vol. 22(4), pages 707-719, July.
    2. Kateryna Onishchenko, 2012. "Can a pure real business cycle model explain the real exchange rate: the case of Ukraine," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, pages 111-135.
    3. Vesna BUCEVSKA, "undated". "A Macroeconometric Model for the Republic of Macedonia," EcoMod2004 330600030, EcoMod.
    4. van Aarle, Bas & de Jong, Eelke & Sosoian, Robert, 2006. "Exchange rate management in Ukraine: Is there a case for more flexibility?," Economic Systems, Elsevier, vol. 30(3), pages 282-305, October.
    5. Bruno Merlevede & Koen Schoors & Bas van Aarle, 2004. "Russia from Bust to Boom: Oil, Politics or the Ruble?," William Davidson Institute Working Papers Series 2004-722, William Davidson Institute at the University of Michigan.
    6. Erjavec, Natasa, 2003. "Applied macroeconometrics in transition economy: Croatian experience," LSE Research Online Documents on Economics 23444, London School of Economics and Political Science, LSE Library.
    7. Julian Ramajo & Miguel A. Marquez, 1998. "Structural change in regional economies: A varying coefficients econometric modeling approach," ERSA conference papers ersa98p189, European Regional Science Association.
    8. Peeters, Marga, 2011. "Demographic pressure, excess labour supply and public-private sector employment in Egypt - Modelling labour supply to analyse the response of unemployment, public finances and welfare," MPRA Paper 31101, University Library of Munich, Germany.
    9. Ivan Baboucek & Martin Jancar, 2005. "Effects of Macroeconomic Shocks to the Quality of the Aggregate Loan Portfolio," Working Papers 2005/01, Czech National Bank, Research Department.
    10. Cheong, ChongCheul, 2003. "Regime changes and econometric modeling of the demand for money in Korea," Economic Modelling, Elsevier, vol. 20(3), pages 437-453, May.
    11. Bruno Merlevede & Joseph Plasmans & Bas van Aarle, 2003. "A Small Macroeconomic Model of the EU-Accession Countries," Open Economies Review, Springer, vol. 14(3), pages 221-250, July.

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