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Public Investment in Transportation and Communication and Growth: A Dynamic Panel Approach

  • M E Haque
  • D H Kim

This paper investigates the relationship between public investment in transportation and communication and economic growth using traditional instrumental estimation and a mixed fixed and random coefficient approach in the context of a dynamic panel framework. We find that there is a dynamic effect of public investment in transportation and communication on economic growth and its impact is positive. In comparison with earlier studies, our estimtaed coefficients are somewhat lower. However, for the reverse causal relationship proposed by the investment acceleration hypothesis, we find that there is significant heterogeneity across countries and our empirical study does not support the presence of reverse causality.

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File URL: http://www.socialsciences.manchester.ac.uk/medialibrary/economics/discussionpapers/EDP-0324.pdf
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Paper provided by Economics, The University of Manchester in its series The School of Economics Discussion Paper Series with number 0324.

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Date of creation: 2003
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Handle: RePEc:man:sespap:0324
Contact details of provider: Postal: Manchester M13 9PL
Phone: (0)161 275 4868
Fax: (0)161 275 4812
Web page: http://www.socialsciences.manchester.ac.uk/subjects/economics/

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  12. Kocherlakota, Narayana R & Yi, Kei-Mu, 1996. "A Simple Time Series Test of Endogenous vs. Exogenous Growth Models: An Application to the United States," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 126-34, February.
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  15. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
  16. Agell, Jonas & Lindh, Thomas & Ohlsson, Henry, 1997. "Growth and the public sector: A critical review essay," European Journal of Political Economy, Elsevier, vol. 13(1), pages 33-52, February.
  17. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
  18. Hsiao, Cheng & Mountain, Dean C. & Chan, M. W. Luke & Tsui, Kai Y., 1989. "Modeling Ontario regional electricity system demand using a mixed fixed and random coefficients approach," Regional Science and Urban Economics, Elsevier, vol. 19(4), pages 565-587, December.
  19. Kocherlakota, Narayana R & Yi, Kei-Mu, 1997. "Is There Endogenous Long-Run Growth? Evidence from the United States and the United Kingdom," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(2), pages 235-62, May.
  20. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November.
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