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Computing semiparametric efficiency bounds in linear models with nonparametric regressors

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  • Aradillas-López, Andrés

Abstract

We use the computational method proposed by Severini and Tripathi (2001) to obtain semiparametric efficiency bounds in linear models with nonparametric regressors in the form of conditional expectations. Examples include social-interaction models. Explicit efficiency bounds for these models, with the degree of generality assumed here, had not been described before.

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  • Aradillas-López, Andrés, 2019. "Computing semiparametric efficiency bounds in linear models with nonparametric regressors," Economics Letters, Elsevier, vol. 185(C).
    • Handle: RePEc:eee:ecolet:v:185:y:2019:i:c:s0165176519303362
    DOI: 10.1016/j.econlet.2019.108673
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    1. Brock, William A. & Durlauf, Steven N., 2001. "Interactions-based models," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 54, pages 3297-3380, Elsevier.
    2. Rilstone, Paul, 1993. "Calculating the (local) semiparametric efficiency bounds for the generated regressors problem," Journal of Econometrics, Elsevier, vol. 56(3), pages 357-370, April.
    3. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    4. Newey, Whitney K, 1990. "Semiparametric Efficiency Bounds," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(2), pages 99-135, April-Jun.
    5. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    6. Li, Qi & Wooldridge, Jeffrey M., 2002. "Semiparametric Estimation Of Partially Linear Models For Dependent Data With Generated Regressors," Econometric Theory, Cambridge University Press, vol. 18(3), pages 625-645, June.
    7. Severini, Thomas A. & Tripathi, Gautam, 2001. "A simplified approach to computing efficiency bounds in semiparametric models," Journal of Econometrics, Elsevier, vol. 102(1), pages 23-66, May.
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    More about this item

    JEL classification:

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

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