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  • Search: subject:"local-to-zero asymptotics"
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Year of publication
Subject
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Local-to-zero asymptotics 4 Laplace approximation 3 Weak moment conditions 3 Dynamic panel data 2 Fixed effects 2 Initial conditions 2 confluent hypergeometric function 2 local-to-zero asymptotics 2 weak instruments 2 Bias 1 Confluent Hypergeometric Functions 1 Confluent hypergeometric function 1 Dynamic panel data models 1 Dynamic panel data, Initial conditions, Quasi ML, GMM, Weak moment conditions, Local-to-zero asymptotics 1 GMM 1 Generalized Method of Moments 1 Generalized Method of Moments (GMM) 1 Instrumentalvariablen-Schätzmethode 1 Laplace Approximation 1 Local-to-unity asymptotics 1 Local-to-zero Asymptotics 1 Quasi ML 1 Quasi Maximum Likelihood (QML) 1 Rate of convergence 1 Redundancy 1 Schätztheorie 1 Singular information matrix 1 Superefficiency 1 Theorie 1 Unit root tests 1 Weak Instruments 1 Weak instruments 1
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Online availability
All
Free 4 Undetermined 1
Type of publication
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Book / Working Paper 7 Article 1
Type of publication (narrower categories)
All
Working Paper 2
Language
All
English 4 Undetermined 4
Author
All
Kruiniger, Hugo 4 Chao, John 2 Chao, John C. 2 Swanson, Norman R. 2 Swanson, Norman 1 Swanson, Norman Rasmus 1
Institution
All
School of Economics and Finance, Queen Mary 2 Cowles Foundation for Research in Economics, Yale University 1 Department of Economics, Rutgers University-New Brunswick 1 School of Management, Yale University 1
Published in...
All
Working Paper 2 Working Papers / School of Economics and Finance, Queen Mary 2 Cowles Foundation Discussion Papers 1 Departmental Working Papers / Department of Economics, Rutgers University-New Brunswick 1 Journal of Econometrics 1 Yale School of Management Working Papers 1
Source
All
RePEc 6 EconStor 2
Showing 1 - 8 of 8
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Quasi ML estimation of the panel AR(1) model with arbitrary initial conditions
Kruiniger, Hugo - 2006
In this paper we show that the Quasi ML estimation method yields consistent Random and Fixed Effects estimators for the autoregression parameter ρ in the panel AR(1) model with arbitrary initial conditions even when the errors are drawn from heterogenous distributions. We compare both...
Persistent link: https://www.econbiz.de/10010284089
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Quasi ML estimation of the panel AR(1) model with arbitrary initial conditions
Kruiniger, Hugo - In: Journal of Econometrics 173 (2013) 2, pp. 175-188
In this paper we show that the Quasi ML estimation method yields consistent Random and Fixed Effects estimators for the autoregression parameter ρ in the panel AR(1) model with arbitrary initial conditions and possibly time-series heteroskedasticity even when the error components are drawn from...
Persistent link: https://www.econbiz.de/10011052276
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Alternative Approximations of the Bias and MSE of the IV Estimator Under Weak Identification with an Application to Bias Correction
Chao, John C.; Swanson, Norman Rasmus - School of Management, Yale University - 2004
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and obtain approximations thereof based on an asymptotic scheme which essentially requires the expectation of the first stage F-statistic to converge to a finite (possibly small)...
Persistent link: https://www.econbiz.de/10005587117
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Alternative Approximations of the Bias and MSE of the IV Estimator Under Weak Identification With an Application to Bias Correction
Chao, John C.; Swanson, Norman R. - 2003
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and obtain approximations thereof based on an asymptotic scheme which essentially requires the expectation of the first stage F-statistic to converge to a finite (possibly small)...
Persistent link: https://www.econbiz.de/10010271942
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Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction
Chao, John; Swanson, Norman R. - Cowles Foundation for Research in Economics, Yale University - 2003
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and obtain approximations thereof based on an asymptotic scheme which essentially requires the expectation of the first stage F-statistic to converge to a finite (possibly small)...
Persistent link: https://www.econbiz.de/10005762492
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Cover Image
Quasi ML Estimation of the Panel AR(1) Model with Arbitrary Initial Conditions
Kruiniger, Hugo - School of Economics and Finance, Queen Mary - 2006
In this paper we show that the Quasi ML estimation method yields consistent Random and Fixed Effects estimators for the autoregression parameter ρ in the panel AR(1) model with arbitrary initial conditions even when the errors are drawn from heterogenous distributions. We compare both...
Persistent link: https://www.econbiz.de/10005106335
Saved in:
Cover Image
Alternative Approximations of the Bias and MSE of the IV Estimator Under Weak Identification With an Application to Bias Correction
Chao, John; Swanson, Norman - Department of Economics, Rutgers University-New Brunswick - 2003
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and obtain approximations thereof based on an asymptotic scheme which essentially requires the expectation of the first stage F-statistic to converge to a finite (possibly small)...
Persistent link: https://www.econbiz.de/10005750193
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GMM Estimation of Dynamic Panel Data Models with Persistent Data
Kruiniger, Hugo - School of Economics and Finance, Queen Mary - 2000
both versions of the model), the Arellano-Bover estimator, and the System estimator. We employ local-to-zero asymptotics …
Persistent link: https://www.econbiz.de/10005106332
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