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Panel data dynamics with mis-measured variables : modeling and GMM estimation
Biørn, Erik - In: Empirical economics : a journal of the Institute for … 48 (2015) 2, pp. 517-535
Persistent link: https://www.econbiz.de/10011292296
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Panel data dynamics with mis-measured variables: modeling and GMM estimation
Biørn, Erik - In: Empirical Economics 48 (2015) 2, pp. 517-535
Generalized Method of Moments (GMM) estimation is discussed under the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of measurement errors is allowed for. Two GMM specializations are considered: (i) using instruments (IVs) in...
Persistent link: https://www.econbiz.de/10011240943
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Panel Data Dynamics and Measurement Errors: GMM Bias, IV Validity and Model Fit – A Monte Carlo Study
Biørn, Erik; Han, Xuehui - Økonomisk institutt, Universitetet i Oslo - 2012
An autoregressive fixed effects panel data equation in error-ridden endogenous and exogenous variables, with finite memory of disturbances, latent regressors and measurement errors is considered. Finite sample properties of GMM estimators are explored by Monte Carlo (MC) simulations. Two kinds...
Persistent link: https://www.econbiz.de/10010819019
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The Measurement Error Problem in Dynamic Panel Data Analysis: Modeling and GMM Estimation
Biørn, Erik - Økonomisk institutt, Universitetet i Oslo - 2012
The Generalized Method of Moments (GMM) is discussed for handling the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of disturbances, latent regressors and measurement errors is assumed. Two specializations of GMM are...
Persistent link: https://www.econbiz.de/10010785528
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Persistence, signal-noise pattern and heterogeneity in panel data: With an application to the impact of foreign direct investment on GDP
Biørn, Erik; Han, Xuehui - 2015
GMM estimation of autoregressive panel data equations in error-ridden variables when the noise has memory, is considered. The impact of variation in the memory length in signal and noise spread and in the degree of individual heterogeneity are discussed with respect to finite sample bias, using...
Persistent link: https://www.econbiz.de/10011335588
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Panel data dynamics and measurement errors: GMM bias, IV validity and model fit - a Monte Carlo study
Biørn, Erik; Han, Xuehui - 2012
An autoregressive fixed effects panel data equation in error-ridden endogenous and exogenous variables, with finite memory of disturbances, latent regressors and measurement errors is considered. Finite sample properties of GMM estimators are explored by Monte Carlo (MC) simulations. Two kinds...
Persistent link: https://www.econbiz.de/10010330209
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The measurement error problem in dynamic panel data analysis: Modeling and GMM estimation
Biørn, Erik - 2012
The Generalized Method of Moments (GMM) is discussed for handling the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of disturbances, latent regressors and measurement errors is assumed. Two specializations of GMM are...
Persistent link: https://www.econbiz.de/10010330243
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Revisiting the FDI impact on GDP growth in errors-in-variables models : a panel data GMM analysis allowing for error memory
Biørn, Erik; Han, Xuehui - In: Empirical economics : a journal of the Institute for … 53 (2017) 4, pp. 1379-1398
Persistent link: https://www.econbiz.de/10012019369
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Persistence, signal-noise pattern and heterogeneity in panel data : with an application to the impact of foreign direct investment on GDP
Biørn, Erik; Han, Xuehui - 2015 - This version January 2015
GMM estimation of autoregressive panel data equations in error-ridden variables when the noise has memory, is considered. The impact of variation in the memory length in signal and noise spread and in the degree of individual heterogeneity are discussed with respect to finite sample bias, using...
Persistent link: https://www.econbiz.de/10010479979