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From |
Nick Cox <njcoxstata@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Semi parametric regression plreg |

Date |
Mon, 26 Nov 2012 10:35:09 +0000 |

The paper cited gives an example of how you can plot the results. If this method is any good, the plot will make sense when you think about results using your substantive (e.g. economic) knowledge. How is "location" quantified as a single metric? Nick On Mon, Nov 26, 2012 at 8:23 AM, Lisa Meisel <Lisa.Meisel@stud.uni-regensburg.de> wrote: > I want to use the plreg command written by Michael Lokshin (Difference-based semiparametric estimation of partial linear regression models, The Stata Journal 6(3), p.377-383, 2006). > > My problem is to interpret the values of the new variable generated by the option generate(newvar). > My semi parametric model is the following > > p = f(l) + b*Z + e > > with p being the house price, Z being a vector of housing attributes and f(l) being the part of the house related to its location l. f(l) is supposed to be a non-linear function. > When checking help of the plreg command in Stata it says that the new variable contains the smoothed values of depvar. In the paper of Lokshin they write it is containing the smoothed values of the argument of f. So how can I interpret the values of this generated variable? > The values I get when running the regression are similar to the ones of p. So I guess they are not the values for f(l), but rather the smoothed values of p? How can I find the portion of the house price related to f(l)? * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Semi parametric regression plreg***From:*"Lisa Meisel" <Lisa.Meisel@stud.uni-regensburg.de>

**References**:**st: Semi parametric regression plreg***From:*"Lisa Meisel" <Lisa.Meisel@stud.uni-regensburg.de>

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