Asymptotic Behavior of Predictors in a Nonlinear Simultaneous System

Article Abstract:

Deterministic and stochastic predictors are compared in an analysis of the large sample asymptotic behavior in a nonlinear simultaneous system. Well-defined measures or asymptotic bias are obtained as well as the mean squared error of point predictors. Use of the Monte Carlo Simulation is advocated.

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Estimation and Inference for Heteroscedastic Systems of Equations

Article Abstract:

A parameter covariance matrix for systems of equations is proposed for its robustness to heteroscedastic errors. A parameter estimator which is efficient under heteroscedasticity and parameter restrictions is suggested. Estimator performance is good.

Study and teaching, Estimation theory

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A Comparison of the Performance of Three Flexible Functional Forms

Article Abstract:

The performance of flexible forms in modeling technology is examined using Monte Carlo Simulations. Tracking ability, departures from unity, and input complementarity are examined. Performance of the translog form was satisfactory.

Econometrics, Comparative analysis

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