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From |
Yuval Arbel <yuval.arbel@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Regression Across Two Groups |

Date |
Wed, 14 Dec 2011 11:27:07 +0200 |

Muhammad, You can look at my correspondence with David Ashcraft. For your convenience I copies part of it: David, You can simply use Difference in Difference (DD) analysis: Run a regression on the group of managers who take the first (second) approach. Then predict what would have happened to the performance of each manager in the case that he/she takes the other approach and use the -ttest- to see whether the difference is significant. Note to define dummy variables in any case that variables are ordinal, i.e., the numerical values have no quantitative meaning I use this approach quite often. You can look at the second part of my following paper published in RSUE: Arbel, Yuval; Ben Shahar,Danny; Gabriel, Stuart and Yossef Tobol: "The Local Cost of Terror: Effects of the Second Palestinian Intifada on Jerusalem House Prices".Regional Science and Urban Economics (2010) 40: 415-426 On Wed, Dec 14, 2011 at 11:18 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. > > -- Maarten > > -------------------------- > Maarten L. Buis > Institut fuer Soziologie > Universitaet Tuebingen > Wilhelmstrasse 36 > 72074 Tuebingen > Germany > > > http://www.maartenbuis.nl > -------------------------- > * > * 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/ -- Dr. Yuval Arbel School of Business Carmel Academic Center 4 Shaar Palmer Street, Haifa, Israel e-mail: yuval.arbel@gmail.com * * 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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