[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Maarten buis <maartenbuis@yahoo.co.uk> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: alternative specification for Oaxaca decomposition? |

Date |
Mon, 1 Jun 2009 08:07:02 +0000 (GMT) |

-findit oaxaca- gives you a variety of packages. I think that the package you are looking for is described in: Ben Jann (2008) "he Blinder–Oaxaca decomposition for linear regression models" The Stata Journal, 8(4): 453-479. http://www.stata-journal.com/article.html?article=st0151 Hope this helps, Maarten ----------------------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://home.fsw.vu.nl/m.buis/ ----------------------------------------- --- On Mon, 1/6/09, Akresh, Ilana Redstone <redstone@illinois.edu> wrote: > From: Akresh, Ilana Redstone <redstone@illinois.edu> > Subject: st: alternative specification for Oaxaca decomposition? > To: "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> > Date: Monday, 1 June, 2009, 1:06 AM > Hello, > > I have a paper where I carried out a Oaxaca decomposition > using the following code: > > reg y x if group == 1 > predict yhat > sum yhat if group == 2 > scalar a = r(mean) > > sum y if group == 1 > scalar meany1 = r(mean) > sum y if group == 2 > scalar meany2 = r(mean) > scalar fractionduetodiscrim = (a - meany2) / (meany1 - > meany2) scalar list fractionduetodiscrim > > This should then correspond to the equation: > > ybarDIS - ybarADV = [(xbarDIS - xbarADV)BetaDIS] + > [xbarADV(BetaDIS - BetaADV)] > > Where DIS indicates the disadvantaged group and ADV > indicates the advantaged group. > > ----------------------------- > > **However, I would like to know how to calculate the > decomposition as: > > Yadv - Ydadv = <beta>*(Xadv - Xdadv) + > Xadv(<beta>dadv - <beta>*) + Xdadv > (<beta>* - <beta>adv) > > In the case directly above, <beta>* should be a > vector containing the weighted averages of the 'adv' and > 'dadv' regression coefficients, with the proportion of 'adv' > and 'dadv' in the sample as the relevant weights. The first > component on the right-hand side is the productivity > advantage of the 'adv' group over the 'dadv' group in the > absence of discrimination. The second term is the 'adv > advantage' or the amount by which 'adv' are overcompensated > relative to a discrimination-free setting, and the last term > is the 'dadv disadvantage' or the amount by which 'dadv' is > paid less than the wage that would prevail in the absence of > discrimination. > > However, I am totally unclear on how to do this in Stata - > in other words, what would be the code to get me > there? Advice, please? > > > * > * 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/

- Next by Date:
**st: more informative output using estout** - Next by thread:
**st: alternative specification for Oaxaca decomposition?** - Index(es):

© Copyright 1996–2016 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |