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A review of non-parametric curve estimation methods with application to Econometrics

Author

Listed:
  • Ronaldo Dias

    (Unicamp)

Abstract

Various features of econometric data can be analyzed by non-parametric approach. This review summarizes some of the most important procedures in curve estimation that has been very useful in the field of econometrics. Specifically, it describes the theory and the applications of non-parametric density and regression estimation problems with emphases in kernel, nearest neighbor, variable kernel, orthogonal series, smoothing splines, logsplines and H-splines methods.

Suggested Citation

  • Ronaldo Dias, 2002. "A review of non-parametric curve estimation methods with application to Econometrics," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 3(1), pages 31-75, January-J.
    • Handle: RePEc:anp:econom:v:3:y:2002:i:1:p:31-75
    as

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    More about this item

    Keywords

    Kernel estimation; cross-validation; orthogonal series; B-splines;
    All these keywords.

    JEL classification:

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

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