A simple method to visualize results in nonlinear regression models

Daniel Henderson (), Subal Kumbhakar and Christopher Parmeter

Economics Letters, 2012, vol. 117, issue 3, 578-581

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)
Date: 2012
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Citations: View citations in EconPapers (28)

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Related works:
Working Paper: 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:eee:ecolet:v:117:y:2012:i:3:p:578-581

DOI: 10.1016/j.econlet.2012.07.040

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