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When are two step estimators efficient?

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Publication:3974561
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DOI10.1080/07474939108800206zbMath0741.62096OpenAlexW2087231983MaRDI QIDQ3974561

C. R. Mckenzie, Michael McAleer

Publication date: 25 June 1992

Published in: Econometric Reviews (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474939108800206


zbMATH Keywords

efficiencymaximum likelihood estimatorgenerated regressorsKruskal's theoremgeneralized least squares estimatorstructural equationrational expectations modelstwo step estimators2SE


Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Linear regression; mixed models (62J05)


Related Items

Computation of the GLS estimator of a model with anticipated and unanticipated effects ⋮ The reduced form of recursive models: Small sample properties ⋮ Concentration Ellipsoids, Their Planes of Support, and the Linear Regression Model ⋮ Are forecast updates progressive? ⋮ Recursive estimation and generated regressors ⋮ Properties of ordinary least squares estimators in regression models with nonspherical disturbances



Cites Work

  • Econometric Issues in the Analysis of Regressions with Generated Regressors
  • Two Stage and Related Estimators and Their Applications
  • When are Gauss-Markov and Least Squares Estimators Identical? A Coordinate-Free Approach
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