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On the combined estimation of technical efficiency and its application to agriculture
data envelopment analysis elasticity frontier production function regression
2015/10/29
Assessment of efficiency of businesses has been considered an object of interest by economists since the 1950’s. A number of methods have been developed, including the so-called parametric approaches,...
Estimation of simultaneous systems of spatially interrelated cross sectional equations
Spatial dependence Simultaneous equation system Two-stage least squares Three-stage least squares Generalized moments estimation
2015/9/24
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 ...
INSTRUMENTAL VARIABLE ESTIMATION OF A SPATIAL AUTOREGRESSIVE MODEL WITH AUTOREGRESSIVE DISTURBANCES:LARGE AND SMALL SAMPLE RESULTS
INSTRUMENTAL VARIABLE ESTIMATION SPATIAL AUTOREGRESSIVE MODEL AUTOREGRESSIVE DISTURBANCES LARGE AND SMALL SAMPLE
2015/9/24
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...
ESTIMATION PROBLEMS IN MODELS WITH SPATIAL WEIGHTING MATRICES WHICH HAVE BLOCKS OF EQUAL ELEMENTS
SPATIAL WEIGHTING MATRICES HAVE BLOCKS EQUAL ELEMENTS
2015/9/24
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...
HAC estimation in a spatial framework
Heteroscedasticity and autocorrelation consistent (HAC) estimator Instrumental variable estimator Spatial models
2015/9/24
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...
Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances
Spatial dependence Heteroskedasticity Cliff–Ord model Two-stage least squares Generalized moments estimation Asymptotics
2015/9/24
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...
Sticky Prices Versus Monetary Frictions:An Estimation of Policy Trade-offs
Bayesian Estimation Long-run Inflation Target Monetary Models Welfare Costs of Inflation
2015/9/18
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...
Shapley Value Estimation for Compensation of Participants in Demand Response Programs
Economics power system economics
2015/8/12
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...
Methods of Efficient Parameter Estimation in Control Problems
Efficient Parameter Estimation Control Problems
2015/8/5
Methods of Efficient Parameter Estimation in Control Problems.
Estimation and Control of a Macroeconomic Model with Rational Expectations
Macroeconomic Model Rational Expectations
2015/8/5
Estimation and Control of a Macroeconomic Model with Rational Expectations.
An Econometric Business Cycle Model with Rational Expectations: Some Estimation Results
Rational Expectations Some Estimation Results
2015/8/5
An Econometric Business Cycle Model with Rational Expectations: Some Estimation Results.
Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models
Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models
2015/8/5
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
Linear Rational Expectations Models Polynomial Matrix Factorization
2015/8/4
Estimation and Solution of Linear Rational Expectations Models Using a Polynomial Matrix Factorization.
Full Information Estimation and Stochastic Simulation of Models with Rational Expectations
Full Information Estimation Stochastic Simulation
2015/8/4
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...
THREE ESSAYS ON ESTIMATION OF APPLIED ECONOMIC MODELS IN FISHERIES
Stochastic Frontier Model Schaefer Production Model
2014/11/10
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...