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From |
Christopher Baum <kit.baum@bc.edu> |

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

Subject |
Re: st: R2's from xtreg |

Date |
Thu, 17 Nov 2011 09:51:26 -0500 |

<> On Nov 17, 2011, at 2:33 AM, Daifeng wrote: > > Here is what the Manual Says: the overall R2 corresponds to Eq(1), > the between R2 corresponds to Eq(2), and the within R2 corresponds to > Eq(3). (Sorry, the equations are uly and hard to read, but Statlist > does not allow formatting..) > > > y_it_hat = a + b*x_it (1) > y_it_bar = a + b*x_it_bar (2) > (y_it-y_i_bar)= b*(x_it - xi_bar) (3 ) In linear regression with a constant term (or with many constant terms), R^2 can always be written as the squared correlation of Y and Yhat. If you do webuse grunfeld xtreg invest mvalue, fe predict ihat, xb corr ihat invest di r(rho)^2 you will see that the 'overall' R^2 is this measure: the squared correlation of actual and predicted values. If you do the same thing with areg -- areg invest mvalue, absorb(company) -- it gives you a different R^2. However if you save the predicted values and look at their squared correlation with invest, you will get the same R^2 as you do in xtreg, fe as the 'overall' R^2. Note that the 'xb' predictions after areg are not the same as those from an equivalent regression; you need the 'xbd' predict option for that. Likewise, for xtreg, fe, it is the xbu option that produces the same predicted values as those from a regression including the dummy variables. Kit Kit Baum | Boston College Economics & DIW Berlin | http://ideas.repec.org/e/pba1.html An Introduction to Stata Programming | http://www.stata-press.com/books/isp.html An Introduction to Modern Econometrics Using Stata | http://www.stata-press.com/books/imeus.html * * 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/

**Follow-Ups**:**Re: st: R2's from xtreg***From:*Daifeng He <dhe.statlist@gmail.com>

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