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The Effects of Dynamic Feedbacks on LS and MM Estimator Accuracy in Panel Data Models

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Author Info
Maurice J.G. Bun () (Faculty of Economics and Econometrics, University of Amsterdam)
Jan F. Kiviet () (Faculty of Economics and Econometrics, University of Amsterdam)

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Abstract

The finite sample behaviour is analysed of particular least squares (LS) and method of moments (MM) estimators in panel data models with individual effects and both a lagged dependent variabIe regressor and another explanatory variabIe which may be affected by lagged feedbacks from the dependent variabIe. Asymp- totic expansions indicate that the order of magnitude of bias of (generalized) MM estimators tends to increase with the number of moment conditions exploited. For various estimation procedures we examine the analytical effects of feedbacks and other model characteristics such as prominence of individual effects. Simulation re- sults corroborate our theoretical findings and show that in small samples of models with dynamic feedbacks none of the techniques examined dominates. However, a simple bias corrected LS estimator which presupposes strict exogeneity is found to be rather robliSt, showing often smaller root mean squared errors than GMM.

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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 02-101/4.

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Date of creation: 14 Oct 2002
Date of revision: 19 Feb 2004
Handle: RePEc:dgr:uvatin:20020101

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Related research
Keywords: asymptotic expansions; bias approximation; dynamic panel.;

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Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Arellano, Manuel & Honore, Bo, 2001. "Panel data models: some recent developments," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 53, pages 3229-3296 Elsevier. [Downloadable!] (restricted)
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  2. Javier Alvarez & Manuel Arellano, 2003. "The Time Series and Cross-Section Asymptotics of Dynamic Panel Data Estimators," Econometrica, Econometric Society, vol. 71(4), pages 1121-1159, 07. [Downloadable!] (restricted)
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  3. Jan F. Kiviet, 1998. "Expectations of Expansions for Estimators in a Dynamic Panel Data Model; Some Results for Weakly-Exogenous Regressors," Tinbergen Institute Discussion Papers 98-027/4, Tinbergen Institute.
  4. 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. [Downloadable!] (restricted)
  5. Alonso-Borrego, Cesar & Arellano, Manuel, 1999. "Symmetrically Normalized Instrumental-Variable Estimation Using Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 36-49, January.
  6. Richard Blundell & Steve Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies. [Downloadable!]
  7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August. [Downloadable!] (restricted)
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  8. Koenker, Roger & Machado, Jose A. F., 1999. "GMM inference when the number of moment conditions is large," Journal of Econometrics, Elsevier, vol. 93(2), pages 327-344, December. [Downloadable!] (restricted)
  9. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May. [Downloadable!] (restricted)
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  10. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July. [Downloadable!] (restricted)
  11. 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. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Kazuhiko Hayakawa, 2007. "A Simple Efficient Instrumental Variable Estimator in Panel AR(p) Models," Hi-Stat Discussion Paper Series d07-213, Institute of Economic Research, Hitotsubashi University. [Downloadable!]
  2. Bernoth, Kerstin & Hughes Hallett, Andrew & Lewis, John, 2008. "Did Fiscal Policy Makers Know What They Were Doing? Reassessing Fiscal Policy with Real Time Data," CEPR Discussion Papers 6758, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  3. G. Everaert, 2009. "Using Backward Means to Eliminate Individual Effects from Dynamic Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/553, Ghent University, Faculty of Economics and Business Administration. [Downloadable!]
  4. Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute. [Downloadable!]
  5. Maurice Bun & Frank Windmeijer, 2007. "The weak instrument problem of the system GMM estimator in dynamic panel data models," CeMMAP working papers CWP08/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
    Other versions:
  6. Pock, Markus, 2007. "Gasoline and Diesel Demand in Europe: New Insights," Economics Series 202, Institute for Advanced Studies. [Downloadable!]
  7. Rodolfo Helg, 2005. "Patterns of international fragmentation of production and the relative demand for labor," LIUC Papers in Economics 167, Cattaneo University (LIUC). [Downloadable!]
    Other versions:
  8. Hiroaki Chigira & Taku Yamamoto, 2006. "A Bias-Corrected Estimation for Dynamic Panel Models in Small Samples," Hi-Stat Discussion Paper Series d06-177, Institute of Economic Research, Hitotsubashi University. [Downloadable!]
  9. Jan F. Kiviet & Jerzy Niemczyk, 2006. "The Asymptotic and Finite Sample Distributions of OLS and Simple IV in Simultaneous Equations," Tinbergen Institute Discussion Papers 06-078/4, Tinbergen Institute. [Downloadable!]
    Other versions:
  10. Kazuhiko Hayakawa, 2006. "The Asymptotic Properties of the System GMM Estimator in Dynamic Panel Data Models When Both N and T are Large," Hi-Stat Discussion Paper Series d05-129, Institute of Economic Research, Hitotsubashi University. [Downloadable!]
  11. Kazuhiko Hayakawa, 2006. "Efficient GMM Estimation of Dynamic Panel Data Models Where Large Heterogeneity May Be Present," Hi-Stat Discussion Paper Series d05-130, Institute of Economic Research, Hitotsubashi University. [Downloadable!]
  12. Angelica Gonzalez, 2007. "Empirical Likelihood Estimation in Dynamic Panel Models," ESE Discussion Papers 168, Edinburgh School of Economics, University of Edinburgh. [Downloadable!]
  13. Badri Narayanan G, 2005. "Effects of trade liberalisation, environmental and labour regulations on employment in India's organised textile sector," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2005-005, Indira Gandhi Institute of Development Research, Mumbai, India. [Downloadable!]
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