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

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: loop |

Date |
Thu, 29 Mar 2012 15:59:25 +0100 |

Commenting only on > reg lwage $x if fem==0 > predict pip if fem==0, xb > forvalues k = 1 2 to 7 { > predict pip`k' if fem==0 & occ`k'==1, xb > } Note that these are exactly the same predictions. You are just selecting different subsets of observations. So no obvious purpose is served by -predict-ing the same variable over and over again. Nick On Thu, Mar 29, 2012 at 3:32 PM, Chiara Mussida <cmussida@gmail.com> wrote: > Dear All, > I wrote a loop for wage regressions to obtain the predicted wages if > men are paid as men at each occupation: > > reg lwage $x if fem==0 > predict pip if fem==0, xb > forvalues k = 1 2 to 7 { > predict pip`k' if fem==0 & occ`k'==1, xb > } > summarize pip, meanonly > scalar xMbM=r(mean) /*Predicted wages if men are paid as men*/ > forvalues k = 1 2 to 7 { > summarize pip`k', meanonly > scalar xMbM`k'=r(mean) /*Predicted wages if men are paid as men at > each occupation*/ > } > > I now want to get the xMbM (and also xFbF for females) by occupation. > For each occupation I want the product between ythe mean individual > charachteristics (xM) and the coefficients (bM). I tried with this > loop, but i'm not sure it's the correct one: > > reg lwage $x if fem==0 > predict pip if occupation==1, xb > forvalues k = 1 { > predict pip`k' if fem==0 & occ`k'==1, xb > } > summarize pip, meanonly > scalar xMbM=r(mean) /*Predicted wages if men are paid as men*/ > forvalues k = 1 { > summarize pip`k', meanonly > scalar xMbM`k'=r(mean) /*Predicted wages if men are paid as men at > each occupation*/ > } > > More precisely, i'm not sure this wille give me each product between > mean values of characteristics (x, for M or F) and estomated wage > equation coefficients (b, for M or F) at each 1...7 occupation. > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: loop***From:*Chiara Mussida <cmussida@gmail.com>

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