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Vector autoregression modelling and forecasting growth of South Korea

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  • Anita Ghatak

Abstract

In this paper, we have estimated vector autoregression (VAR), Bayesian vector autoregression (BVAR) and vector error-correction models (VECMs) using annual time-series data of South Korea for 1950-94. We find evidence supporting the view that growth of real per-capita income has been aided by income, investment and export growth, as well as government spending and exchange rate policies. The VECMs provide better forecasts of growth than do the VAR and BVAR models for both short-term and long-term predictions.

Suggested Citation

  • Anita Ghatak, 1998. "Vector autoregression modelling and forecasting growth of South Korea," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(5), pages 579-592, June.
  • Handle: RePEc:taf:japsta:v:25:y:1998:i:5:p:579-592
    DOI: 10.1080/02664769822837
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    References listed on IDEAS

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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Pasaran, M.H. & Smith, R., 1995. "New Directions in Applied Macroeconomic Modelling," Cambridge Working Papers in Economics 9525, Faculty of Economics, University of Cambridge.
    3. Grossman, Gene M & Helpman, Elhanan, 1990. "Trade, Innovation, and Growth," American Economic Review, American Economic Association, vol. 80(2), pages 86-91, May.
    4. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.
    5. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    6. Romer, Paul M, 1990. "Are Nonconvexities Important for Understanding Growth?," American Economic Review, American Economic Association, vol. 80(2), pages 97-103, May.
    7. Chishti, Salim U. & Hasan, M. Aynul & Mahmud, Syed F., 1992. "Macroeconometric modelling and Pakistan's economy : A vector autoregression approach," Journal of Development Economics, Elsevier, vol. 38(2), pages 353-370, April.
    8. Dani Rodrik, 1994. "Getting Interventions Right: How South Korea and Taiwan Grew Rich," NBER Working Papers 4964, National Bureau of Economic Research, Inc.
    9. Robert J. Barro & Jong-Wha Lee, 1993. "Losers and Winners in Economic Growth," NBER Working Papers 4341, National Bureau of Economic Research, Inc.
    10. Cooley, Thomas F. & Leroy, Stephen F., 1985. "Atheoretical macroeconometrics: A critique," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 283-308, November.
    11. Hendry, David F. & Pagan, Adrian R. & Sargan, J.Denis, 1984. "Dynamic specification," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 18, pages 1023-1100 Elsevier.
    12. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
    13. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    Cited by:

    1. elmakki, asma & Bakari, Sayef & MABROUKI, Mohamed, 2017. "The Nexus between Industrial Exports and Economic Growth in Tunisia: Empirical Analysis," MPRA Paper 79360, University Library of Munich, Germany.
    2. Anita Ghatak & Ferda Halicioglu, 2007. "Foreign direct investment and economic growth: some evidence from across the world," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 9(4), pages 381-394.
    3. Francisco Garcia-Blanch, 2001. "An Empirical Inquiry into the Nature of South Korean Economic Growth," CID Working Papers 74A, Center for International Development at Harvard University.

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