[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
Ulrich Kohler <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Out-of-sample prediction: Time dummy problem |

Date |
Wed, 14 Sep 2005 11:57:50 +0200 |

Niko Wrede wrote: > I estimate a model using an in-sample-dataset (e.g. 1989-1999)and the > xtabond2 command with time dummies. Then I want to predict and calculate > residuals using an out-of-sample-dataset (e.g. 2000-2004) for another time > period. > > My problem: Using predict and the out-of-sample-dataset, STATA complains, > that some variables are missing in the dataset, since it cannot find the > time dummies. > > Question: How can I predict using only the estimates of the main model > variables without the estimates for the time dummies? > > My idea was: > 1. Estimate: > Use insample.dta > Xi: xtabond2 depvar var1 var2 i.year (endogvar, lag(2 .)) ivstyle(var1 var2 > i.year) rob twostep > > 2. Predict: > Use outsample.dta > ... and then some kind of adjust or xpredict ... But it is not working so > far and I am not sure, if this is the right way. Niko, you have generated dummy-variables for year on the fly by prefixing -xtabond2- with -xi:-. Therefore you need to reproduce this step also in the outsample: . use insample . xi i.year . xtabond2 depvar var1 var2 I* ... . drop _all . use outsample . xi i.year . predict [whatever] Note that you do not necessarily need to break the model estimation and the generating of the time dummies for the insample-step. I only did this to show the logic. Your question implies that you don't want to use the year dummies in the prediction. I guess that this means to "fix" the year to the reference-year. In this case you might want to -replace- all year dummies to zero before prediction, i.e. . foreach var of varlist I* { . replace `var' = 0 . } . predict [whatever] I am not familiar to -xtabond2-, but I suspect that it will also generates variables holding lags of the endogenous variables. If so, you will also need to generate these variables by hand in the outsample, i.e. something along the line of . gen varname = l2.varname hope that helps Uli -- [email protected] +49 (030) 25491-361 * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**AW: st: Out-of-sample prediction: Time dummy problem***From:*"Niko Wrede" <[email protected]>

**References**:**st: Out-of-sample prediction: Time dummy problem***From:*"Niko Wrede" <[email protected]>

- Prev by Date:
**st: Using constraints on ancillary parameters in streg** - Next by Date:
**Re: st: Using constraints on ancillary parameters in streg** - Previous by thread:
**st: Out-of-sample prediction: Time dummy problem** - Next by thread:
**AW: st: Out-of-sample prediction: Time dummy problem** - Index(es):

© Copyright 1996–2024 StataCorp LLC | Terms of use | Privacy | Contact us | What's new | Site index |