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A Simple Method to Visualize Results in Nonlinear Regression Models

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Author Info

  • 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.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 6781.

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Length: 11 pages
Date of creation: Aug 2012
Date of revision:
Publication status: published in: Economics Letters, 2012, 117 (3), 578-581
Handle: RePEc:iza:izadps:dp6781

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Related research

Keywords: gradient estimation; dimensionality; kernel smoothing; nonlinear; mean plots; least squares cross validation;

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  1. Thanasis Stengos & Costantina Kottaridi, 2008. "Foreign Direct Investment, Human Capital And Nonlinearities In Economic Growth," Working Paper Series, The Rimini Centre for Economic Analysis 20-08, The Rimini Centre for Economic Analysis, revised Jan 2008.
  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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Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. What I Learned Last Week
    by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2012-10-13 04:19:00
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Cited by:
  1. Michael Delgado, 2013. "A smooth coefficient model of carbon emissions," Empirical Economics, Springer, Springer, vol. 45(3), pages 1049-1071, December.
  2. Bhaumik, Sumon K. & Dimova, Ralitza & Kumbhakar, Subal C. & Sun, Kai, 2014. "More Is Better! What Can Firm-Specific Estimates of the Impact of Institutional Quality on Performance Tell Us?," IZA Discussion Papers 7886, Institute for the Study of Labor (IZA).
  3. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
  4. Henderson, Daniel J. & Maasoumi, Esfandiar, 2012. "Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment," IZA Discussion Papers 6874, Institute for the Study of Labor (IZA).

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