A Simple Method to Visualize Results in Nonlinear Regression Models

Daniel Henderson (), Subal Kumbhakar and Christopher Parmeter

No 6781, IZA Discussion Papers from Institute of Labor Economics (IZA)

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; nonlinear; mean plots; least squares cross validation (search for similar items in EconPapers)
JEL-codes: C1 C13 C14 (search for similar items in EconPapers)
Pages: 11 pages
Date: 2012-08
New Economics Papers: this item is included in nep-ore
References: Add references at CitEc
Citations: View citations in EconPapers (28)

Published - published in: Economics Letters, 2012, 117 (3), 578-581

Downloads: (external link)
https://docs.iza.org/dp6781.pdf (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)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp6781

Ordering information: This working paper can be ordered from
IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany

Access Statistics for this paper

More papers in IZA Discussion Papers from Institute of Labor Economics (IZA) IZA, P.O. Box 7240, D-53072 Bonn, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Holger Hinte ().