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The Forecasting Ability of a Cointegrated VAR Demand System with Endogeneous vs. Exogenous Expenditure Variable: An application to the UK imports of tourism from neighbouring countries

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  • Margarida de Mello

    (CETE, Faculdade de Economia da Universidade do Porto)

  • Kevin S. Nell

    (National Institute of Economic Policy)

Abstract

This paper uses Sims’s VAR methodology, as an alternative to Deaton and Muellbauer’s AIDS approach, to establish the long-run relationships between I(1) variables: tourism shares, tourism prices and UK tourism budget. The VAR deterministic components and sets of exogenous and endogenous variables are established, and the Johansen’s rank test is used to determine the cointegrated vectors in the system. The structural form of the cointegrated VAR is identified and the long-run parameters are estimated under several theoretical restrictions. The restricted cointegrated VAR reveals itself a theoretically consistent and statistically robust means to analyse the long-run demand behaviour of UK tourists and an accurate forecaster of the destinations’ shares.

Suggested Citation

  • Margarida de Mello & Kevin S. Nell, 2001. "The Forecasting Ability of a Cointegrated VAR Demand System with Endogeneous vs. Exogenous Expenditure Variable: An application to the UK imports of tourism from neighbouring countries," FEP Working Papers 109, Universidade do Porto, Faculdade de Economia do Porto.
  • Handle: RePEc:por:fepwps:109
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    References listed on IDEAS

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    1. 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.
    2. Pesaran, M Hashem, 1997. "The Role of Economic Theory in Modelling the Long Run," Economic Journal, Royal Economic Society, vol. 107(440), pages 178-191, January.
    3. Andreas Papatheodorou, 1999. "The demand for international tourism in the Mediterranean region," Applied Economics, Taylor & Francis Journals, vol. 31(5), pages 619-630.
    4. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    5. 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.
    6. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    Cited by:

    1. Rui Henrique Alves, 2004. "Europe: Looking for a New Model," FEP Working Papers 154, Universidade do Porto, Faculdade de Economia do Porto.
    2. Yulia Vymyatnina, 2013. "Money Supply and Monetary Policy in Russia: A Post-Keynesian Approach Revisited," EUSP Department of Economics Working Paper Series Ec-04/13, European University at St. Petersburg, Department of Economics.
    3. Sandra Silva, 2009. "On evolutionary technological change and economic growth: Lakatos as a starting point for appraisal," Journal of Evolutionary Economics, Springer, vol. 19(1), pages 111-135, February.
    4. Ana Paula Delgado & Isabel Maria Godinho, 2004. "The evolution of city size distribution in Portugal: 1864-2001," FEP Working Papers 151, Universidade do Porto, Faculdade de Economia do Porto.
    5. Rosa Forte, 2004. "The relationship between foreign direct investment and international trade. Substitution or complementarity? A survey," FEP Working Papers 140, Universidade do Porto, Faculdade de Economia do Porto.
    6. Maria do Rosario Correia & Scott C. Linn & Andrew Marshall, 2004. "An Empirical Investigation of Debt Contract Design: The Determinants of the Choice of Debt Terms in Eurobond Issues," FEP Working Papers 148, Universidade do Porto, Faculdade de Economia do Porto.

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