Transformed maximum likelihood estimation of short dynamic panel data models with interactive effects:

This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive fixed effects, and provides an extension of Hsiao et al. (2002) that allows for a multifactor error structure. This is an important extension since it retains the advantages of the t...

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Bibliographische Detailangaben
Hauptverfasser: Hayakawa, Kazuhiko 1979- (VerfasserIn), Pesaran, M. Hashem 1946- (VerfasserIn), Smith, L. Vanessa (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: München CESifo 2014
Schriftenreihe:CESifo working paper 4822 : Category 12, Empirical and theoretical methods
Online-Zugang:Volltext
Zusammenfassung:This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive fixed effects, and provides an extension of Hsiao et al. (2002) that allows for a multifactor error structure. This is an important extension since it retains the advantages of the transformed likelihood approach, whilst at the same time allows for observed factors (fixed or random). Small sample results obtained from Monte Carlo simulations show that the transformed ML estimator performs well in finite samples and outperforms the GMM estimators proposed in the literature in almost all cases considered.
Beschreibung:40 S.

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