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In this paper we consider a simultaneous system of spatially interrelated cross sectional equations. Our speci.cation incorporates spatial lags in the endogenous and exogenous variables. In modelling ...
The purpose of this paper is two-fold. First, on a theoretical level we introduce a series-type instrumental variable (IV) estimator of the parameters of a spatial first order autoregressive model wit...
Spatial models whose weighting matrices have blocks of equal elements might be considered if units are viewed as equally distant within certain neighborhoods, but unrelated between neighborhoods. We g...
We suggest a non-parametric heteroscedasticity and autocorrelation consistent (HAC) estimator of the variance–covariance (VC) matrix for a vector of sample moments within a spatial context. Wedemonstr...
This study develops a methodology of inference for a widely used Cliff–Ord type spatial model containing spatial lags in the dependent variable, exogenous variables, and the disturbance terms, while a...
We develop a two-sector monetary model with a centralized and decentralized market. Activities in the centralizedmarket resemble those in a standard New Keynesian economy with price rigidities. In the...
Designing fair compensation mechanisms for demand response (DR) is challenging. This paper models the problem in a game theoretic setting and designs a payment distribution mechanism based on the Shap...
Estimation and Control of a Macroeconomic Model with Rational Expectations.
An Econometric Business Cycle Model with Rational Expectations: Some Estimation Results.
A solution method and an estimation method for nonlinear rational expectations models are presented in this paper. The solution method can be used in forecasting and policy applications and can hand...
Estimation and Solution of Linear Rational Expectations Models Using a Polynomial Matrix Factorization.
A computationally feasible method for the full information maximum-likelihood estimation of models with rational expectations is described in this paper. The stochastic simulation of such models is a...
Fishery managers face many challenges when setting effective policies. This includes working with fisherman to set the total allowable catch (TAC), preventing overfishing, and monitoring the status of...
Fishery managers face many challenges when setting effective policies. This includes working with fisherman to set the total allowable catch (TAC), preventing overfishing, and monitoring the status of...

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