A Comparative Analysis of Different IV and GMM Estimators of Dynamic Panel Data Models

It is well known that the usual procedures for estimating panel data models are inconsistent in the dynamic setting. A large number of consistent estimators however, have been proposed in the literature. This paper provides a survey of the majority of mainstream estimators, which tend to consist of...

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Main Authors: Harris, Mark, Mátyás, L.
Format: Journal Article
Language:English
Published: Wiley-Blackwell Publishing Ltd. 2004
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/81809
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author Harris, Mark
Mátyás, L.
author_facet Harris, Mark
Mátyás, L.
author_sort Harris, Mark
building Curtin Institutional Repository
collection Online Access
description It is well known that the usual procedures for estimating panel data models are inconsistent in the dynamic setting. A large number of consistent estimators however, have been proposed in the literature. This paper provides a survey of the majority of mainstream estimators, which tend to consist of IV and GMM ones. It also considers a newly proposed extension to the promising Wansbeek-Bekker estimator (Harris & Matyas, 2000). To provide guidance to the applied researcher working on micro-datasets, the small sample performance of these estimators is evaluated using a set of Monte Carlo experiments.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-818092021-03-16T03:27:43Z A Comparative Analysis of Different IV and GMM Estimators of Dynamic Panel Data Models Harris, Mark Mátyás, L. Panel data, Dynamic models, Monte Carlo, IV and GMM estimators. It is well known that the usual procedures for estimating panel data models are inconsistent in the dynamic setting. A large number of consistent estimators however, have been proposed in the literature. This paper provides a survey of the majority of mainstream estimators, which tend to consist of IV and GMM ones. It also considers a newly proposed extension to the promising Wansbeek-Bekker estimator (Harris & Matyas, 2000). To provide guidance to the applied researcher working on micro-datasets, the small sample performance of these estimators is evaluated using a set of Monte Carlo experiments. 2004 Journal Article http://hdl.handle.net/20.500.11937/81809 10.1111/j.1751-5823.2004.tb00244.x English Wiley-Blackwell Publishing Ltd. restricted
spellingShingle Panel data, Dynamic models, Monte Carlo, IV and GMM estimators.
Harris, Mark
Mátyás, L.
A Comparative Analysis of Different IV and GMM Estimators of Dynamic Panel Data Models
title A Comparative Analysis of Different IV and GMM Estimators of Dynamic Panel Data Models
title_full A Comparative Analysis of Different IV and GMM Estimators of Dynamic Panel Data Models
title_fullStr A Comparative Analysis of Different IV and GMM Estimators of Dynamic Panel Data Models
title_full_unstemmed A Comparative Analysis of Different IV and GMM Estimators of Dynamic Panel Data Models
title_short A Comparative Analysis of Different IV and GMM Estimators of Dynamic Panel Data Models
title_sort comparative analysis of different iv and gmm estimators of dynamic panel data models
topic Panel data, Dynamic models, Monte Carlo, IV and GMM estimators.
url http://hdl.handle.net/20.500.11937/81809