Arbeitspapier
Estimating dynamic panel models: Backing out the Nickell Bias
We propose a new estimator for the dynamic panel model, which solves the failure of strict exogeneity by calculating the bias in the first-order conditions as a function of the autoregressive parameter and solving the resulting equation. The estimator does well in a wide variety of situations where other estimators do not perform well: stationary initial condition, predetermined but not strictly exogenous regressors, and the presence of correlation between the error terms and the fixed effects. We also propose a general method for including predetermined variables in fixed-effects panel regressions.
- Sprache
-
Englisch
- Erschienen in
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Series: cemmap working paper ; No. CWP53/17
- Klassifikation
-
Wirtschaft
Econometrics
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
- Ereignis
-
Geistige Schöpfung
- (wer)
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Hausman, Jerry A.
Pinkovskiy, Maxim L.
- Ereignis
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Veröffentlichung
- (wer)
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Centre for Microdata Methods and Practice (cemmap)
- (wo)
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London
- (wann)
-
2017
- DOI
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doi:10.1920/wp.cem.2017.5317
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Hausman, Jerry A.
- Pinkovskiy, Maxim L.
- Centre for Microdata Methods and Practice (cemmap)
Entstanden
- 2017