A Comparison of Alternative Estimators in a Simultaneous Equation Model with Errors in Variables

A Comparison of Alternative Estimators in a Simultaneous Equation Model with Errors in Variables PDF Author: Suchitra Jariyanandhanetr
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ISBN:
Category : Economic forecasting
Languages : en
Pages : 284

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Reduced Form Estimation in Partially Specified Simultaneous Equations Models

Reduced Form Estimation in Partially Specified Simultaneous Equations Models PDF Author: William Arthur Powell
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ISBN:
Category : Equations, Simultaneous
Languages : en
Pages : 204

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A Comparison of Alternative Instruments Variables Estimators of a Dynamic Linear Model

A Comparison of Alternative Instruments Variables Estimators of a Dynamic Linear Model PDF Author: Kenneth D. West
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ISBN:
Category :
Languages : en
Pages : 0

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Using a dynamic linear equation that has a conditionally homoskedastic moving average disturbance, we compare two parameterizations of a commonly used instrumental variables estimator (Hansen (1982)) to one that is asymptotically optimal in a class of estimators that includes the conventional one (Hansen (1985)). We find that for some plausible data generating processes, the optimal one is distinctly more efficient asymptotically. Simulations indicate that in samples of size typically available, asymptotic theory describes the distribution of the parameter estimates reasonably well, but that test statistics sometimes are poorly sized.

A Comparison of Alternative Instrumental Variables Estimators of a Dynamic Linear Model

A Comparison of Alternative Instrumental Variables Estimators of a Dynamic Linear Model PDF Author: Kenneth David West
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ISBN:
Category : Instrumental variables (Statistics)
Languages : en
Pages : 76

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Estimators for the Simultaneous Equation Model with Lagged Endogenous Variables and Autocorrelated Errors

Estimators for the Simultaneous Equation Model with Lagged Endogenous Variables and Autocorrelated Errors PDF Author: George H. K. Wang
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ISBN:
Category :
Languages : en
Pages : 190

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A Comparison of Some Limited Information Estimators for Dynamic Simultaneous Equations Models with Autocorrelated Errors

A Comparison of Some Limited Information Estimators for Dynamic Simultaneous Equations Models with Autocorrelated Errors PDF Author: Phoebus J. Dhrymes
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ISBN:
Category : Estimation theory
Languages : en
Pages : 76

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Comparison of Estimators in Simultaneous Equation Econometric Models when the Residuals are Small

Comparison of Estimators in Simultaneous Equation Econometric Models when the Residuals are Small PDF Author: Joseph B. Kadane
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ISBN:
Category : Economics, Mathematical
Languages : en
Pages : 108

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A Comparison of Some Limited Information Estimators for Dynamic Simultaneous Equations Models with Autocorrelated Errors

A Comparison of Some Limited Information Estimators for Dynamic Simultaneous Equations Models with Autocorrelated Errors PDF Author: Phoebus J. Dhrymes
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 76

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Comparisons Between Some Estimators in Functional Errors-in-Variables Regression Models

Comparisons Between Some Estimators in Functional Errors-in-Variables Regression Models PDF Author: Raymond J. Carroll
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ISBN:
Category : Monte Carlo method
Languages : en
Pages : 28

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This report studies the functional errors-in-variables regression model. In the case of no equation error (all randomness due to measurement errors), the maximum likelihood estimator computed assuming normality is asymptotically better than the usual moments estimator, even if the errors are not normally distributed. For certain statistical problems such as randomized two group analysis of covariance, the least squares estimate is shown to be better than the aformentioned errors-in-variables methods for estimating certain important contrasts.

The Relative Efficiency of Instrumental Variables Estimators for the Linear Simultaneous Equations Model

The Relative Efficiency of Instrumental Variables Estimators for the Linear Simultaneous Equations Model PDF Author: James McConnell Brundy
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ISBN:
Category :
Languages : en
Pages : 298

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