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

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Regression Across Two Groups |

Date |
Wed, 14 Dec 2011 09:39:06 +0000 |

It's categorical/dichotomous, yet the example is [pro]portion of earnings from outside main job. Sounds like a fractional response from the latter. Muhammad: Give us an example of what observations look like before this gets any more obscure, please! On Wed, Dec 14, 2011 at 9:18 AM, Maarten Buis <maartenlbuis@gmail.com> wrote: > On Wed, Dec 14, 2011 at 6:25 AM, Muhammad Anees wrote: >> Sorry for not clarifying the story about the types of variables, like >> earnings which I have at hand as a categorical/dichotomous variable. >> For example if an individual has a portion of earnings from doing >> consultancies or involved in any R&D organizations beside their normal >> routine jobs. In this case, I was interested in comparing the >> regression models (across foreign qualified and not foreign qualified) >> of earnings on other predictors say experience, research training, job >> nature, industry, region (rural and urban) using logit/probit in case >> of categorical variables and similarly using OLS for continuous >> dependent variable which at least I do not have at this stage. > > This is still not clear. The independent/explanatory/right-hand-side/x > variables aren't relevant here, they can be of any type, it is the > type of the dependent/explained/left-hand-side/y variable that > matters. Earnings is typically collected as either a continuous > variable (how much do you earn?) or as a choice from a set of > intervals (did you earn less than x$, between x$ and y$, etc.?). None > of these are correctly modeled as a logit/probit. In the former case I > would use a -glm- with the -link(log)- option, in the latter case I > would start with assigning each category with a reasonable > representative number and than use -glm- with the -link(log)- option. > There are other solutions for the latter problem, e.g. -intreg-, but > if the underlying distribution is non-normal, which is likely to be > the case with earnings, then it is unclear whether these alternatives > are any better. The comparison is than just a matter of adding the > appropriate dummies and/or interactions. * * 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: Regression Across Two Groups***From:*Muhammad Anees <anees@aneconomist.com>

**References**:**st: Regression Across Two Groups***From:*Muhammad Anees <anees@aneconomist.com>

**RE: st: Regression Across Two Groups***From:*Cameron McIntosh <cnm100@hotmail.com>

**Re: st: Regression Across Two Groups***From:*Muhammad Anees <anees@aneconomist.com>

**Re: st: Regression Across Two Groups***From:*Richard Williams <richardwilliams.ndu@gmail.com>

**Re: st: Regression Across Two Groups***From:*Muhammad Anees <anees@aneconomist.com>

**Re: st: Regression Across Two Groups***From:*Maarten Buis <maartenlbuis@gmail.com>

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