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From |
"Martin Weiss" <martin.weiss1@gmx.de> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: RE: Question about "predict" and "mean" when i ~= (not equal) j? |

Date |
Tue, 24 Nov 2009 23:15:25 +0100 |

<> Look at http://www.stata.com/support/faqs/data/members.html Your "gap" is also known as residual, and -predict- can deliver it directly with the -residuals- option... HTH Martin -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Sun, Yan (IFPRI) Sent: Dienstag, 24. November 2009 23:06 To: statalist@hsphsun2.harvard.edu Subject: st: Question about "predict" and "mean" when i ~= (not equal) j? Hi, all, Theoretically, my question is easy; but I do not know how to program it in STATA. Y is my dependent variable, X1, X2, X3 are my independent variable, i/j=1, 2, ..., n are my observations, m=1, 2, ...,20 is city, my equation is Y==X1 X2 X3. What I want to calculate is GAP(i~=j, m)=Predicted Y(j) for i-mean(j, m) (j is all the other observations). I know how to do for the equation GAP(i,m)=Predicted Y(i)-mean(i,m) , in this case, what I do is Reg Y X1 X2 X3 Predict PY, xb Gen gap=PY-Y collapse gap, by(m) But I do not know how to predict and calculate the value which does not include the current observation (the predicted value and the mean value which excludes the current value)? * * 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/ * * 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: Question about "predict" and "mean" when i ~= (not equal) j?***From:*"Sun, Yan (IFPRI)" <Y.SUN@CGIAR.ORG>

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