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A Simple Method to Visualize Results in Nonlinear Regression Models

Author

Listed:
  • Henderson, Daniel J.

    (University of Alabama)

  • Kumbhakar, Subal C.

    (Binghamton University, New York)

  • Parmeter, Christopher F.

    (University of Miami)

Abstract

A simple graphical approach to presenting results from nonlinear regression models is described. In the face of multiple covariates, 'partial mean' plots may be unattractive. The approach here is portable to a variety of settings and can be tailored to the specific application at hand. A simple four variable nonparametric regression example is provided to illustrate the technique.

Suggested Citation

  • Henderson, Daniel J. & Kumbhakar, Subal C. & Parmeter, Christopher F., 2012. "A Simple Method to Visualize Results in Nonlinear Regression Models," IZA Discussion Papers 6781, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp6781
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    References listed on IDEAS

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    1. Kottaridi, Constantina & Stengos, Thanasis, 2010. "Foreign direct investment, human capital and non-linearities in economic growth," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 858-871, September.
    2. Harrison, David Jr. & Rubinfeld, Daniel L., 1978. "Hedonic housing prices and the demand for clean air," Journal of Environmental Economics and Management, Elsevier, vol. 5(1), pages 81-102, March.
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    More about this item

    Keywords

    gradient estimation; dimensionality; kernel smoothing; nonlinear; mean plots; least squares cross validation;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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