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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 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
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
outcomes directly. In this paper we propose two alternative Bayesian treatment modeling and inferential frameworks for panel … to the labor market. The frameworks differ in their modeling of the endogeneity of the treatment and the panel structure …
Persistent link: https://www.econbiz.de/10011346040
This paper shows how a weighted average of a forward and reverse Jackknife IV estimator (JIVE) yields estimators that are robust against heteroscedasticity and many instruments. These estimators, called HFUL (Heteroscedasticity robust Fuller) and HLIM (Heteroskedasticity robust limited...
Persistent link: https://www.econbiz.de/10009766699
panel data methods that allow one to account for unobserved heterogeneity, temporal persistence, and crosssection dependence …
Persistent link: https://www.econbiz.de/10011540773
We propose a Bayesian approach to dynamic panel estimation in the presence of cross-sectional dependence and dynamic … by estimating a panel VAR on sector level data for labour productivity and hours worked growth for Canada, Germany …
Persistent link: https://www.econbiz.de/10009680588