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System GMM Estimation With A Small Sample

  • Marcelo Soto

    ()

Properties of GMM estimators for panel data, which have become very popular in the empirical economic growth literature, are not well known when the number of individuals is small. This paper analyses through Monte Carlo simulations the properties of various GMM and other estimators when the number of individuals is the one typically available in country growth studies. It is found that, provided that some persistency is present in the series, the system GMM estimator has a lower bias and higher efficiency than all the other estimators analysed, including the standard first-differences GMM estimator.

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Paper provided by Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC) in its series UFAE and IAE Working Papers with number 780.09.

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Length: 27
Date of creation: 01 Sep 2009
Date of revision:
Handle: RePEc:aub:autbar:780.09
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  1. Aghion, Philippe & Bacchetta, Philippe & Rancière, Romain & Rogoff, Kenneth, 2009. "Exchange rate volatility and productivity growth: The role of financial development," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 494-513, May.
  2. Francesco Caselli & Gerardo Esquivel & Fernando Lefort, 1997. "Reopening the Convergence Debate: A New Look at Cross-Country Growth Empirics," Working Papers Central Bank of Chile 03, Central Bank of Chile.
  3. Greenaway, David & Morgan, Wyn & Wright, Peter, 2002. "Trade liberalisation and growth in developing countries," Journal of Development Economics, Elsevier, vol. 67(1), pages 229-244, February.
  4. Dalgaard, Carl-Johan & Hansen, Henrik & Tarp, Finn, 2002. "On the Empirics of Foreign Aid and Growth," MPRA Paper 63696, University Library of Munich, Germany.
  5. 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.
  6. M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
  7. Daniel Cohen & Marcelo Soto, 2001. "Growth and Human Capital: Good Data, Good Results," OECD Development Centre Working Papers 179, OECD Publishing.
  8. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
  9. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
  10. Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
  11. William R. Hauk & Romain Wacziarg, 2004. "A Monte Carlo Study of Growth Regressions," NBER Technical Working Papers 0296, National Bureau of Economic Research, Inc.
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