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Can Dynamic Panel Data Explain the Finance-Growth Link? An Empirical Likelihood Approach

  • Umut Oguzoglu

    ()

    (Department of Economics, University of Guelph)

  • Thanasis Stengos

    ()

    (Department of Economics, University of Guelph)

The short run effect of the financial intermediary development on economic growth is analyzed using an unbalanced panel of 77 countries covering 35 years. Empirical Likelihood (EL) estimation is used and compared to more conventional GMM methods that weight moment conditions equally over the sample. However, if a part of the data is associated with only weak instruments, GMM estimators are subject to considerable small sample bias. EL appropriately re-weights the moment restrictions to deal with that problem. Using EL, we obtain more robust estimates of the effect of financial intermediation on economic growth than GMM.

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Paper provided by University of Guelph, Department of Economics and Finance in its series Working Papers with number 0502.

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Length: 29 pages
Date of creation: 2005
Date of revision:
Handle: RePEc:gue:guelph:2005-2
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Web page: https://www.uoguelph.ca/economics/

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  1. Whitney K. Newey & Richard J. Smith, 2004. "Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators," Econometrica, Econometric Society, vol. 72(1), pages 219-255, 01.
  2. La Porta, Rafael & Lopez-de-Silanes, Florencio & Shleifer, Andrei & Vishny, Robert, 1999. "The Quality of Government," Journal of Law, Economics and Organization, Oxford University Press, vol. 15(1), pages 222-79, April.
  3. Kalaitzidakis, Pantelis, et al, 2001. " Measures of Human Capital and Nonlinearities in Economic Growth," Journal of Economic Growth, Springer, vol. 6(3), pages 229-54, September.
  4. Stephen Bond & Frank Windmeijer, 2002. "Finite Sample Inference for GMM Estimators in Linear Panel Data Models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C6-3, International Conferences on Panel Data.
  5. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
  6. Levine, Ross, 1999. "Law, Finance, and Economic Growth," Journal of Financial Intermediation, Elsevier, vol. 8(1-2), pages 8-35, January.
  7. McCaig, Brian & Stengos, Thanasis, 2005. "Financial intermediation and growth: Some robustness results," Economics Letters, Elsevier, vol. 88(3), pages 306-312, September.
  8. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
  9. Imbens, G.W. & Johnson, P. & Spady, R.H., 1995. "Information Theoretic Approaches to Inference in Movement Condition Models," Economics Papers 99, Economics Group, Nuffield College, University of Oxford.
  10. Levine, Ross & Renelt, David, 1991. "A sensitivity analysis of cross-country growth regressions," Policy Research Working Paper Series 609, The World Bank.
  11. Levine, Ross & Loayza, Norman & Beck, Thorsten, 1999. "Financial intermediation and growth : Causality and causes," Policy Research Working Paper Series 2059, The World Bank.
  12. Mittelhammer, Ron C & Judge, George G. & Schoenberg, Ron, 2003. "Empirical Evidence Concerning the Finite Sample Performance of EL-Type Structural Equation Estimation and Inference Methods," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2xm0n02g, Department of Agricultural & Resource Economics, UC Berkeley.
  13. 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.
  14. Levine, Ross, 1998. "The Legal Environment, Banks, and Long-Run Economic Growth," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(3), pages 596-613, August.
  15. Guido W Imbens, Phillip Johnson & Richard H Spady, . "Information theoretic approaches to inference in moment condition model," Economics Papers W12., Economics Group, Nuffield College, University of Oxford.
  16. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  17. repec:ner:tilbur:urn:nbn:nl:ui:12-3125519 is not listed on IDEAS
  18. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
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