Journal ArticleDOI
On bias, inconsistency and efficiency of various estimators in dynamic panel data models
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TLDR
In this article, the bias of the least square dummy variable (LSDV) estimator has been analyzed in the context of panel data with lagged dependent explanatory variables, and it has been shown that the conventional estimation procedures are asymptotically valid only when the number of observations in the time dimension (T) gets large.About:
This article is published in Journal of Econometrics.The article was published on 1995-07-01. It has received 1920 citations till now. The article focuses on the topics: Bias of an estimator & Estimator.read more
Citations
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Book
Econometric Analysis of Panel Data
TL;DR: In this article, the authors proposed a two-way error component regression model for estimating the likelihood of a particular item in a set of data points in a single-dimensional graph.
Journal ArticleDOI
How to do Xtabond2: An Introduction to Difference and System GMM in Stata
TL;DR: This pedagogic paper first introduces linear GMM, and shows how limited time span and the potential for fixed effects and endogenous regressors drive the design of the estimators of interest, offering Stata-based examples along the way.
Journal ArticleDOI
How to do xtabond2: An introduction to difference and system GMM in Stata
TL;DR: This paper introduced linear generalized method of moments (GMM) estimators for situations with small T, large N panels, with independent variables that are not strictly exogenous, meaning correlated with past and possibly current realizations of the error; with fixed effects; and with heteroskedasticity and autocorrelation within individuals.
Posted Content
A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
TL;DR: Weak instruments arise when the instruments in linear instrumental variables (IV) regression are weakly correlated with the included endogenous variables as mentioned in this paper, and weak instruments correspond to weak identification of some or all of the unknown parameters.
Journal ArticleDOI
A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
TL;DR: Weak instruments arise when the instruments in linear instrumental variables (IV) regression are weakly correlated with the included endogenous variables as discussed by the authors, and weak instruments correspond to weak identification of some or all of the unknown parameters.
References
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Journal ArticleDOI
Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.
Manuel Arellano,Stephen Bond +1 more
TL;DR: In this article, the generalized method of moments (GMM) estimator optimally exploits all the linear moment restrictions that follow from the assumption of no serial correlation in the errors, in an equation which contains individual effects, lagged dependent variables and no strictly exogenous variables.
Book
Analysis of Panel Data
TL;DR: In this paper, the authors propose a homogeneity test for linear regression models (analysis of covariance) and show that linear regression with variable intercepts is more consistent than simple regression with simple intercepts.
Journal ArticleDOI
Estimating vector autoregressions with panel data
TL;DR: In this article, the authors consider estimation and testing of vector autoregressio n coefficients in panel data, and apply the techniques to analyze the dynamic relationships between wages an d hours worked in two samples of American males.
Journal ArticleDOI
Biases in dynamic models with fixed effects
John J. Beggs,Marc Nerlove +1 more
TL;DR: In this paper, the authors examined bias in dynamic models with fixed effects where both the number of time series observations and cross-sectional replications are small, and the formula bias estimate was in line with that in published Monte Carlo studies.
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Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.
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