A simple method to visualize results in nonlinear regression models

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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Year of publication:	2012
Authors:	Henderson, Daniel J. ; Kumbhakar, Subal C. ; Parmeter, Christopher F.
Publisher:	Bonn : Institute for the Study of Labor (IZA)
Subject:	gradient estimation \| dimensionality \| kernel smoothing \| nonlinear \| mean plots \| least squares cross validation

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Series:	IZA Discussion Papers ; 6781
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	722416040 [GVK] hdl:10419/62354 [Handle]
Classification:	C1 - Econometric and Statistical Methods: General ; C13 - Estimation ; C14 - Semiparametric and Nonparametric Methods
Source:	EconStor

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010287583