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stationarity assumptions. Ishihara (2020) explores identification of the nonseparable panel data model under these assumptions and …
Persistent link: https://www.econbiz.de/10013314378
This paper considers estimation methods and inference for linear dynamic panel data models with unit …
Persistent link: https://www.econbiz.de/10010342822
This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and … spatial lag dependent variable and where the heterogeneity in the panel is incorporated via an error component specification … spatial autocorrelation and random effects for this spatial SUR panel model. The small sample performance of the proposed …
Persistent link: https://www.econbiz.de/10010274576
This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and … spatial lag dependent variable and where the heterogeneity in the panel is incorporated via an error component specification … spatial autocorrelation and random effects for this spatial SUR panel model. The small sample performance of the proposed …
Persistent link: https://www.econbiz.de/10013137243
This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and … spatial lag dependent variable and where the heterogeneity in the panel is incorporated via an error component specification … spatial autocorrelation and random effects for this spatial SUR panel model. The small sample performance of the proposed …
Persistent link: https://www.econbiz.de/10009013035
GMM estimation of autoregressive panel data equations in error-ridden variables when the noise has memory, is … country panel data supplements the simulation results. …
Persistent link: https://www.econbiz.de/10010479979
In this paper, we examine the use of Box-Tiao's (1977) canonical correlation method as an alternative to likelihood-based inferences for vector error-correction models. It is now well-known that testing of cointegration ranks based on Johansen's (1995) ML-based method suffers from severe small...
Persistent link: https://www.econbiz.de/10012732978
This paper introduces a panel GMM framework for identifying and estimating demand elasticities via heteroscedasticity …. While existing panel estimators address the simultaneity problem, the state-ofthe-art Feenstra/Soderbery (F/S) estimator …
Persistent link: https://www.econbiz.de/10015073836
recently developed spatial panel data models by maximum likelihood (ML) procedures for Spanish outflows (19932004) to top-50 …
Persistent link: https://www.econbiz.de/10010317091
recently developed spatial panel data models by maximum likelihood (ML) procedures for Spanish outflows (19932004) to top-50 … direct investment ; spatial econometrics ; panel data …
Persistent link: https://www.econbiz.de/10009355548