A simple method to visualize results in nonlinear regression models

Daniel Henderson (), Subal Kumbhakar and Christopher Parmeter

No 2012-4, Working Papers from University of Miami, Department of Economics

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.

Keywords: Gradient Estimation; Dimensionality; Kernel Smoothing; Least Squares Cross Validation (search for similar items in EconPapers)
JEL-codes: C1 C13 C14 (search for similar items in EconPapers)
Pages: 7 pages
Date: 2012-04-30
New Economics Papers: this item is included in nep-ecm and nep-ore
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Citations: View citations in EconPapers (29)

Forthcoming: Under Review

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https://www.herbert.miami.edu/_assets/files/repec/WP2012-04.pdf First version, 2012 (application/pdf)

Related works:
Journal Article: A simple method to visualize results in nonlinear regression models (2012)
Working Paper: A Simple Method to Visualize Results in Nonlinear Regression Models (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:mia:wpaper:2012-4

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