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A survey of semiparametric efficiency bounds for some microeconometric models

Author

Listed:
  • Thomas A Severini

    (Northwestern University, Evanston, USA)

  • Gautam Tripathi

    (CREA, Université de Luxembourg)

Abstract

In this survey, we evaluate estimators by comparing their asymptotic variances. The role of the effciency bound, in this context, is to give a lower bound to the asymptotic variance of an estimator. An estimator with asymptotic variance equal to the efficiency bound can therefore be said to be asymptotically efficient. These bounds are also useful for understanding how the features of a given model affect the accuracy of parameter estimation.

Suggested Citation

  • Thomas A Severini & Gautam Tripathi, 2013. "A survey of semiparametric efficiency bounds for some microeconometric models," DEM Discussion Paper Series 13-10, Department of Economics at the University of Luxembourg.
    • Handle: RePEc:luc:wpaper:13-10
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    File URL: https://hdl.handle.net/10993/14368
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    References listed on IDEAS

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    1. Park, Sangin, 2003. "Semiparametric instrumental variables estimation," Journal of Econometrics, Elsevier, vol. 112(2), pages 381-399, February.
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    Cited by:

    1. Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021. "Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators," Papers 2110.06763, arXiv.org, revised Oct 2022.
    2. Chen, Jiafeng & Chen, Xiaohong & Tamer, Elie, 2023. "Efficient estimation of average derivatives in NPIV models: Simulation comparisons of neural network estimators," Journal of Econometrics, Elsevier, vol. 235(2), pages 1848-1875.
    3. Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021. "Efficient Estimation of Average Derivatives in NPIV Models: Simulation Comparisons of Neural Network Estimators," Cowles Foundation Discussion Papers 2319, Cowles Foundation for Research in Economics, Yale University.
    4. Chen, Tao & Parker, Thomas, 2014. "Semiparametric efficiency for partially linear single-index regression models," Journal of Multivariate Analysis, Elsevier, vol. 130(C), pages 376-386.

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    More about this item

    Keywords

    Efficiency bounds; Semiparametric models;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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