Henderson, Daniel J. Kumbhakar, Subal C. Parmeter, Christopher F.
Year of Publication:
IZA Discussion Papers No. 6781
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.
gradient estimation dimensionality kernel smoothing nonlinear mean plots least squares cross validation