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  • Search: subject:"Analytical and Bootstrap Bias-Adjusted Estimators"
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Subject
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Analytical and Bootstrap Bias-Adjusted Estimators 3 GMM 3 Covariance Structures 2 Generalized Empirical Likelihood 2 Continuous Updating 1 Covariance Structure Models 1 Empirical Likelihood 1 Exponential Tilting 1 Instrumental Variables 1 Monte Carlo Simulation 1
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Undetermined 2 Free 1
Type of publication
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Article 2 Book / Working Paper 1
Language
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Undetermined 3
Author
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Ramalho, Joaquim 3
Institution
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Departamento de Economia, Universidade de Évora 1
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Studies in Nonlinear Dynamics & Econometrics 2 Economics Working Papers / Departamento de Economia, Universidade de Évora 1
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RePEc 3
Showing 1 - 3 of 3
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Small Sample Bias of Alternative Estimation Methods for Moment Condition Models: Monte Carlo Evidence for Covariance Structures and Instrumental Variables
Ramalho, Joaquim - Departamento de Economia, Universidade de Évora - 2003
It is now widely recognized that the most commonly used efficient two-step GMM estimator may have large bias in small samples. This problem has motivated the search for alternative estimators with better finite sample properties. Two classes of alternatives are considered in this paper. The...
Persistent link: https://www.econbiz.de/10005398690
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Small Sample Bias of Alternative Estimation Methods for Moment Condition Models: Monte Carlo Evidence for Covariance Structures
Ramalho, Joaquim - In: Studies in Nonlinear Dynamics & Econometrics 9 (2007) 1, pp. 1202-1202
It is now widely recognized that the most commonly used efficient two-step GMM estimator may have large bias in small samples. In this paper we analyze by simulation the finite sample bias of two classes of alternative estimators. The first includes estimators which are asymptotically...
Persistent link: https://www.econbiz.de/10004966262
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Small Sample Bias of Alternative Estimation Methods for Moment Condition Models: Monte Carlo Evidence for Covariance Structures
Ramalho, Joaquim - In: Studies in Nonlinear Dynamics & Econometrics 9 (2005) 1, pp. 1202-1202
It is now widely recognized that the most commonly used efficient two-step GMM estimator may have large bias in small samples. In this paper we analyze by simulation the finite sample bias of two classes of alternative estimators. The first includes estimators which are asymptotically...
Persistent link: https://www.econbiz.de/10005751412
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