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Nonparametric Models and Their Estimation

In: Modern Econometric Analysis

Author

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  • Göran Kauermann

    (University of Bielefeld)

Abstract

Nonparametric models have become more and more popular over the last two decades. One reason for their popularity is software availability, which easily allows to fit smooth but otherwise unspecified functions to data. A benefit of the models is that the functional shape of a regression function is not prespecified in advance, but determined by the data. Clearly this allows for more insight which can be interpreted on a substance matter level. This paper gives an overview of available fitting routines, commonly called smoothing procedures. Moreover, a number of extensions to classical scatterplot smoothing are discussed, with examples supporting the advantages of the routines.

Suggested Citation

  • Göran Kauermann, 2006. "Nonparametric Models and Their Estimation," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 10, pages 137-152, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-32693-9_10
    DOI: 10.1007/3-540-32693-6_10
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    Cited by:

    1. Bettina Fincke & Alfred Greiner, 2015. "On the relation between public debt and economic growth: an empirical investigation," Economics and Business Letters, Oviedo University Press, vol. 4(4), pages 137-150.
    2. Greiner, Alfred & Kauermann, Göran, 2008. "Debt policy in euro area countries: Evidence for Germany and Italy using penalized spline smoothing," Economic Modelling, Elsevier, vol. 25(6), pages 1144-1154, November.

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