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Applied nonparametric methods

In: Handbook of Econometrics

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Author Info
Hardle, Wolfgang
Linton, Oliver

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Abstract

We review different approaches to nonparametric density and regression estimation. Kernel estimators are motivated from local averaging and solving ill-posed problems. Kernel estimators are compared to k-NN estimators, orthogonal series and splines. Pointwise and uniform confidence bands are described, and the choice of smoothing parameter is discussed. Finally, the method is applied to nonparametric prediction of time series and to semiparametric estimation.

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This chapter was published in: R. F. Engle & D. McFadden (ed.) Handbook of Econometrics, , chapter 38, pages 2295-2339, 1986.

This item is provided by Elsevier in its series Handbook of Econometrics with number 4-38.

Handle: RePEc:eee:ecochp:4-38

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Related research
This chapter was published in the following book, which is listed on IDEAS:
R. F. Engle & D. McFadden (ed.), 1986. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 4, number 4, September. [Downloadable!] (restricted)
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Find related papers by JEL classification:
C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other

References listed on IDEAS
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  1. Andrews, Donald W.K. & Whang, Yoon-Jae, 1990. "Additive Interactive Regression Models: Circumvention of the Curse of Dimensionality," Econometric Theory, Cambridge University Press, vol. 6(04), pages 466-479, December. [Downloadable!]
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  2. Chaudhuri, Probal, 1991. "Global nonparametric estimation of conditional quantile functions and their derivatives," Journal of Multivariate Analysis, Elsevier, vol. 39(2), pages 246-269, November. [Downloadable!] (restricted)
  3. Herman Bierens & Hettie Pott-Buter, 1990. "Specification of household engel curves by nonparametric regression," Econometric Reviews, Taylor and Francis Journals, vol. 9(2), pages 123-184. [Downloadable!] (restricted)
  4. Elbadawi, Ibrahim & Gallant, A Ronald & Souza, Geraldo, 1983. "An Elasticity Can Be Estimated Consistently without A Priori Knowledge of Functional Form," Econometrica, Econometric Society, vol. 51(6), pages 1731-51, November. [Downloadable!] (restricted)
  5. repec:cup:etheor:v:6:y:1990:i:4:p:466-79 is not listed on IDEAS
  6. Andrews, Donald W K, 1991. "Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models," Econometrica, Econometric Society, vol. 59(2), pages 307-45, March. [Downloadable!] (restricted)
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  7. Diebold, Francis X. & Nason, James A., 1990. "Nonparametric exchange rate prediction?," Journal of International Economics, Elsevier, vol. 28(3-4), pages 315-332, May. [Downloadable!] (restricted)
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  8. Altug, S. & Miller, R.A., 1991. "Human Capital , Aggregate Shocks and Panel Data Estimation," GSIA Working Papers 1991-25, Carnegie Mellon University, Tepper School of Business.
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  9. Engle, Robert F & Gardner, Roy, 1976. "Some Finite Sample Properties of Spectral Estimators of a Linear Regression," Econometrica, Econometric Society, vol. 44(1), pages 149-65, January. [Downloadable!] (restricted)
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  10. Deaton, Angus, 1989. "Rice Prices and Income Distribution in Thailand: A Non-parametric Analysis," Economic Journal, Royal Economic Society, vol. 99(395), pages 1-37, Supplemen.
  11. Engle, Robert F & Hendry, David F & Richard, Jean-Francois, 1983. "Exogeneity," Econometrica, Econometric Society, vol. 51(2), pages 277-304, March. [Downloadable!] (restricted)
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