Arbeitspapier
Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator
This chapter reviews developments to improve on the poor performance of the standard GMM estimator for highly autoregressive panel series. It considers the use of the system GMM estimator that relies on relatively mild restrictions on the initial condition process. This system GMM estimator encompasses the GMM estimator based on the non-linear moment conditions available in the dynamic error components model and has substantial asymptotic efficiency gains. Simulations, that include weakly exogenous covariates, find large finite sample biases and very low precision for the standard first differenced estimator. The use of the system GMM estimator not only greatly improves the precision but also greatly reduces the finite sample bias. An application to panel production function data for the US is provided and confirms these theoretical and experimental findings.
- Language
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Englisch
- Bibliographic citation
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Series: IFS Working Papers ; No. W00/12
- Classification
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Wirtschaft
- Subject
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Panelforschung
Schätzung
Bias
Theorie
Momentenmethode
- Event
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Geistige Schöpfung
- (who)
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Blundell, Richard
Bond, Steve
Windmeijer, Frank
- Event
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Veröffentlichung
- (who)
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Institute for Fiscal Studies (IFS)
- (where)
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London
- (when)
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2000
- DOI
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doi:10.1920/wp.ifs.2000.0012
- Handle
- Last update
-
10.03.2025, 11:41 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Blundell, Richard
- Bond, Steve
- Windmeijer, Frank
- Institute for Fiscal Studies (IFS)
Time of origin
- 2000
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