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From |
Muhammad Anees <anees@aneconomist.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Regression Across Two Groups |

Date |
Wed, 14 Dec 2011 14:37:40 +0500 |

Thanks Yual, I would try that for sure. On Wed, Dec 14, 2011 at 2:27 PM, Yuval Arbel <yuval.arbel@gmail.com> wrote: > 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/ -- Regards --------------------------- Muhammad Anees Assistant Professor COMSATS Institute of Information Technology Attock 43600, Pakistan www.aneconomist.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/

**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>

**Re: st: Regression Across Two Groups***From:*Yuval Arbel <yuval.arbel@gmail.com>

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