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Bivariate causality analysis between FDI inflows and economic growth in Ghana

  • Frimpong, Joseph Magnus
  • Oteng-Abayie, Eric Fosu

The main objective for this paper is to study the causal link between FDI and GDP growth for Ghana for the pre- and post-SAP periods. We also study the direction of causality between the two variables, based on the more robust Toda-Yamamoto (1995) Granger no-causality test which allows the Granger test in an integrated system. Annual time-series data covering the period 1970-2002 was used. The study finds no causality between FDI and growth for the total sample period and the pre-SAP period. FDI however caused GDP growth during the post-SAP period.

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File URL: http://mpra.ub.uni-muenchen.de/351/1/MPRA_paper_351.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 351.

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Date of creation: 26 Aug 2006
Date of revision: 09 Oct 2006
Handle: RePEc:pra:mprapa:351
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  1. Asiedu, Elizabeth, 2002. "On the Determinants of Foreign Direct Investment to Developing Countries: Is Africa Different?," World Development, Elsevier, vol. 30(1), pages 107-119, January.
  2. Mosconi, Rocco & Giannini, Carlo, 1992. "Non-causality in Cointegrated Systems: Representation Estimation and Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 399-417, August.
  3. Judith A. Giles & Sadaf Mirza, 1999. "Some Pretesting Issues on Testing for Granger Noncausality," Econometrics Working Papers 9914, Department of Economics, University of Victoria.
  4. Juan J. DOLADO & Helmut LÜTKEPOHL, 1994. "Making Wald Tests Work for Cointegrated Var Systems," SFB 373 Discussion Papers 1994,44, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  5. Jean-Marie Dufour & Eric Renault, 1998. "Short Run and Long Run Causality in Time Series: Theory," Econometrica, Econometric Society, vol. 66(5), pages 1099-1126, September.
  6. Yamada, Hiroshi & Toda, Hiro Y., 1998. "Inference in possibly integrated vector autoregressive models: some finite sample evidence," Journal of Econometrics, Elsevier, vol. 86(1), pages 55-95, June.
  7. Giles, David E..A. & Tedds, Lindsay M. & Werkneh, Gugsa, 2002. "The Canadian Underground and Measured Economies: Granger Causality Results," MPRA Paper 39786, University Library of Munich, Germany.
  8. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-52, September.
  9. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
  10. 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.
  11. Chowdhury, Abdur R. & Mavrotas, George, 2005. "FDI and Growth: A Causal Relationship," Working Paper Series RP2005/25, World Institute for Development Economic Research (UNU-WIDER).
  12. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
  13. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
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