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http://hdl.handle.net/10419/62354
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| Title: | | A simple method to visualize results in nonlinear regression models  |
| Authors: | | Henderson, Daniel J. Kumbhakar, Subal C. Parmeter, Christopher F. |
| Issue Date: | | 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 |
| Appears in Collections: | | IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)
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