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

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st:compare distribution of a variable across groups |

Date |
Mon, 2 Feb 2009 22:30:13 +0000 (GMT) |

--- Mandy fu <mandy.fu1@gmail.com> wrote: > I'm going to compare the effect of education on wage rates by racial > groups. Here's what I'm thinking: > > step 1. > I will check the means,standard errors,and ranges of wages by racial > groups. > step 2. > I will check percentile wage rates,like decimal percentile, for each > group. Aren't you just looking for an interaction effect of education and race, i.e. the effect of education is different for different races? Alternatively this looks suspiciously like a set up for a Blinder-Oaxaca decomposition, i.e. you are trying to explain part of the race differences in income away with differences in education, and if you are an economist then you are also willing to put some sweeping label on the residual effect (instead of correctly stating that that is the part of the effect that we do not understand, the economist would boldly state that you have now an empirical estimate of discrimination...) > What I'd like to ask is: what is the usual way to compare the > distribution of a variable across several groups? My concern is > that,maybe I would miss something if only comparing the means or > standard errors of wages. So, I'm curious how most researchers deal > with this . If you want to report numbers in order to summarize the differences between distribution, than I would stick with means (maybe medians). In the end we are mostly interested how the central tendencies of the groups differs (exceptions obviously exist). If you want look at more, and this is a good idea even if you are finally end up not reporting on it, than graphs are the solution. For example you can overlay smoothed distributions of wage of the different races like in the example below, and I am sure Nick can suggest many more useful graphs. *---------------- begin example --------------- sysuse nlsw88, clear desc race label list racelbl twoway kdensity wage if race == 1 || /// kdensity wage if race == 2 || /// kdensity wage if race == 3, /// legend(order( 1 "white" /// 2 "black" /// 3 "other")) *---------------- end example ------------------ (For more on how to use examples I sent to the Statalist, see http://home.fsw.vu.nl/m.buis/stata/exampleFAQ.html ) Hope this helps, Maarten ----------------------------------------- Maarten L. Buis Department of Social Research Methodology Vrije Universiteit Amsterdam Boelelaan 1081 1081 HV Amsterdam The Netherlands visiting address: Buitenveldertselaan 3 (Metropolitan), room N515 +31 20 5986715 http://home.fsw.vu.nl/m.buis/ ----------------------------------------- * * 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:compare distribution of a variable across groups***From:*Mandy fu <mandy.fu1@gmail.com>

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