Add to ORKGMultivariate simultaneous equations models were used extensively for macroeconometric analysis when ...
Mixed causal–noncausal autoregressive (MAR) models have been proposed to model time series exhibitin...
This paper develops estimators for simultaneous equations with spatial autoregressive or spatial mov...
In this paper various methods for the estimation of simultaneous equation models with lagged endogen...
In this dissertation we describe conditions for nonparametric identification and methods for estimat...
This article uses algebraic arguments to cast light on the solution of vector autoregressive models...
This paper proposes a generalization of the nonlinear simultaneous equation model of Pesaran and Pic...
This working paper is produced for discussion purpose only. These working papers are expected to be ...
where y,. is an m-element vector of the dependent variables of the system and w,.is an s-element vec...
Most simultaneous equation models involve the inclusion of lagged endogenous and/or exogenous variab...
In this paper we consider a simultaneous system of spatially interrelated cross sectional equations....
This dissertation proposes a generalized method of moments (GMM) estimation framework for the spatia...
We review the literature on the Autoregressive Distributed Lag (ARDL) model, from its origins in the...
Most contributors to a recent Political Analysis symposium on time series analysis suggest that in o...
Lagged variables play an important role in cross-sectional models in geography and regional sciences...
Multivariate simultaneous equations models were used extensively for macroeconometric analysis when ...
Mixed causal–noncausal autoregressive (MAR) models have been proposed to model time series exhibitin...
This paper develops estimators for simultaneous equations with spatial autoregressive or spatial mov...
In this paper various methods for the estimation of simultaneous equation models with lagged endogen...
In this dissertation we describe conditions for nonparametric identification and methods for estimat...
This article uses algebraic arguments to cast light on the solution of vector autoregressive models...
This paper proposes a generalization of the nonlinear simultaneous equation model of Pesaran and Pic...
This working paper is produced for discussion purpose only. These working papers are expected to be ...
where y,. is an m-element vector of the dependent variables of the system and w,.is an s-element vec...
Most simultaneous equation models involve the inclusion of lagged endogenous and/or exogenous variab...
In this paper we consider a simultaneous system of spatially interrelated cross sectional equations....
This dissertation proposes a generalized method of moments (GMM) estimation framework for the spatia...
We review the literature on the Autoregressive Distributed Lag (ARDL) model, from its origins in the...
Most contributors to a recent Political Analysis symposium on time series analysis suggest that in o...
Lagged variables play an important role in cross-sectional models in geography and regional sciences...
Multivariate simultaneous equations models were used extensively for macroeconometric analysis when ...
Mixed causal–noncausal autoregressive (MAR) models have been proposed to model time series exhibitin...
This paper develops estimators for simultaneous equations with spatial autoregressive or spatial mov...