Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/62354
Authors: 
Henderson, Daniel J.
Kumbhakar, Subal C.
Parmeter, Christopher F.
Year of Publication: 
2012
Series/Report no.: 
Discussion Paper series, Forschungsinstitut zur Zukunft der Arbeit 6781
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.
Subjects: 
gradient estimation
dimensionality
kernel smoothing
nonlinear
mean plots
least squares cross validation
JEL: 
C1
C13
C14
Document Type: 
Working Paper

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