EnThe objective of this paper is to develop a GME formulation for the class of spatial structural equations models (S-SEM) into a panel data framework. In this respect, two innovatory aspects are introduced: (i) the formalization of the GME estimation approach of SEM to allow for spatial heterogeneity and spatial dependence (spatially sampled data); (ii) the extension of the methodology panel data
Abstract: - Information theoretic estimators do not require specification of the specific parametric...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]DTAMInternational audienceThe recent progress in spatial...
This paper focuses on the estimation and predictive performance of several estimators for the dynami...
Abstract: The objective of this paper is to develop a GME formulation for the class of spatial stru...
The objective of this paper is to develop a GME formulation for the class of spatial structural equa...
This paper investigates the \u85nite sample properties of estimators for spatial dynamic panel model...
Abstract:- This paper introduces an entropy-based estimation strategy for spatial heterogeneous pane...
We introduce the class of structural equation models (SEMs) and corresponding estimation procedures ...
We consider Generalized Method of Moments (GMM) estimation of a regression model with spatially corr...
The traditional approach to estimate spatial models bases on a preconceived spatial weights matrix t...
A strong increase in the availability of space-time data has occurred during the past decades. This ...
Spatial econometrics has been an ongoing research \u85eld. Recently, it has been extended to the pan...
This paper investigates the adequacy of the matrix exponential spatial specifications (MESS) as an a...
Spatial dependence is one of the main problems in stochastic processes and can be caused by a variet...
Spatial econometrics extends the model with geographical information, thanks to we canmake model mor...
Abstract: - Information theoretic estimators do not require specification of the specific parametric...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]DTAMInternational audienceThe recent progress in spatial...
This paper focuses on the estimation and predictive performance of several estimators for the dynami...
Abstract: The objective of this paper is to develop a GME formulation for the class of spatial stru...
The objective of this paper is to develop a GME formulation for the class of spatial structural equa...
This paper investigates the \u85nite sample properties of estimators for spatial dynamic panel model...
Abstract:- This paper introduces an entropy-based estimation strategy for spatial heterogeneous pane...
We introduce the class of structural equation models (SEMs) and corresponding estimation procedures ...
We consider Generalized Method of Moments (GMM) estimation of a regression model with spatially corr...
The traditional approach to estimate spatial models bases on a preconceived spatial weights matrix t...
A strong increase in the availability of space-time data has occurred during the past decades. This ...
Spatial econometrics has been an ongoing research \u85eld. Recently, it has been extended to the pan...
This paper investigates the adequacy of the matrix exponential spatial specifications (MESS) as an a...
Spatial dependence is one of the main problems in stochastic processes and can be caused by a variet...
Spatial econometrics extends the model with geographical information, thanks to we canmake model mor...
Abstract: - Information theoretic estimators do not require specification of the specific parametric...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]DTAMInternational audienceThe recent progress in spatial...
This paper focuses on the estimation and predictive performance of several estimators for the dynami...