Fixed T Dynamic Panel Data Estimators with Multi-Factor Errors

Artūras Juodis and Vasilis Sarafidis

MPRA Paper from University Library of Munich, Germany

Abstract: This paper analyzes a growing group of fixed T dynamic panel data estimators with a multi-factor error structure. We use a unified notational approach to describe these estimators and discuss their properties in terms of deviations from an underlying set of basic assumptions. Furthermore, we consider the extendability of these estimators to practical situations that may frequently arise, such as their ability to accommodate unbalanced panels. Using a large-scale simulation exercise, we consider scenarios that remain largely unexplored in the literature, albeit they are of great empirical relevance. In particular, we examine (i) the effect of the presence of weakly exogenous covariates, (ii) the effect of changing the magnitude of the correlation between the factor loadings of the dependent variable and those of the covariates, (iii) the impact of the number of moment conditions on bias and size for GMM estimators, and finally the effect of sample size. Thus, our study may serve as a useful guide to practitioners who wish to allow for multiplicative sources of unobserved heterogeneity in their model.

Keywords: Dynamic Panel Data; Factor Model; Maximum Likelihood; Fixed T Consistency; Monte Carlo Simulation (search for similar items in EconPapers)
JEL-codes: C13 C15 C23 (search for similar items in EconPapers)
Date: 2014-07-30
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/57659/1/MPRA_paper_57659.pdf original version (application/pdf)

Related works:
Journal Article: Fixed T dynamic panel data estimators with multifactor errors (2018)
Working Paper: Fixed T Dynamic Panel Data Estimators with Multi-Factor Errors (2014)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:57659

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().