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Robust Estimation and Moment Selection in Dynamic Fixed-effects Panel Data Models

Author

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  • Cizek, P.

    (Tilburg University, Center For Economic Research)

  • Aquaro, M.

    (Tilburg University, Center For Economic Research)

Abstract

Considering linear dynamic panel data models with fixed effects, existing outlier–robust estimators based on the median ratio of two consecutive pairs of first-differenced data are extended to higher-order differencing. The estimation procedure is thus based on many pairwise differences and their ratios and is designed to combine high precision and good robust properties. In particular, the proposed two-step GMM estimator based on the corresponding moment equations relies on an innovative weighting scheme reflecting both the variance and bias of those moment equations, where the bias is assumed to stem from data contamination. To estimate the bias, the influence function is derived and evaluated. The robust properties of the estimator are characterized both under contamination by independent additive outliers and the patches of additive outliers. The proposed estimator is additionally compared with existing methods by means of Monte Carlo simulations.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Cizek, P. & Aquaro, M., 2015. "Robust Estimation and Moment Selection in Dynamic Fixed-effects Panel Data Models," Discussion Paper 2015-002, Tilburg University, Center for Economic Research.
    • Handle: RePEc:tiu:tiucen:39d0f613-007f-4d21-b1e2-b6dc51149fe4
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    References listed on IDEAS

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    Cited by:

    1. Dhaene, Geert & Zhu, Yu, 2017. "Median-based estimation of dynamic panel models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 398-423.

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    Keywords

    dynamic panel data; fixed effects; generalized method of moments; influence function; pairwise differences; robust estimation;
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