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A New Panel Data Treatment for Heterogeneity in Time Trends

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  • Kneip, Alois
  • Sickles, Robin Christopher
  • Song, Wonho

Abstract

Our paper introduces a new estimation method for arbitrary temporal heterogeneity in panel data models. The paper provides a semiparametric method for estimating general patterns of cross-sectional specific time trends. The methods proposed in the paper are related to principal component analysis and estimate the time-varying trend effects using a small number of common functions calculated from the data. An important application for the new estimator is in the estimation of time-varying technical efficiency considered in the stochastic frontier literature. Finite sample performance of the estimators is examined via Monte Carlo simulations. We apply our methods to the analysis of productivity trends in the U.S. banking industry.

Suggested Citation

  • Kneip, Alois & Sickles, Robin Christopher & Song, Wonho, 2006. "A New Panel Data Treatment for Heterogeneity in Time Trends," Bonn Econ Discussion Papers 1/2006, University of Bonn, Bonn Graduate School of Economics (BGSE).
    • Handle: RePEc:zbw:bonedp:12006
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    References listed on IDEAS

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    More about this item

    Keywords

    Time trends; panel models; principal component analysis; smoothing splines; banking efficiency;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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