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From |
"Martin Weiss" <martin.weiss1@gmx.de> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
AW: st: re: binary variables |

Date |
Thu, 3 Jun 2010 17:31:47 +0200 |

<> " The "xtreg" command works very well, although I am still not sure about the disadvantages of a fixed effects model. And still the problem will remain when I want to explain the differences between regions." The most prominent disadvantage is that you cannot estimate the effect of covariates which are constant within panel units. I recommend you look at the intro in manual [XT], page 446. HTH Martin -----Ursprüngliche Nachricht----- Von: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Natalie Trapp Gesendet: Donnerstag, 3. Juni 2010 17:17 An: statalist@hsphsun2.harvard.edu Betreff: Re: st: re: binary variables Thank you so much for all the comments. They were very helpful. @Martin: I am not so convenient with Stata, so I haven't found out all the tools yet. Though I made the dofile, which generates the binary variables, with the GAMS program; so it wasn't much work. @ Maarten: Ile de France, in my dataset is not Paris only but also the districts surrounding the city, so I do have 94 observations in this region. Other regions that are not omitted may have even less observations, or regions that are omitted may have many more observations. This wouldn't explain why Stata omits these variables. I think the "areg" command is not appropriate as I have several different crops growing on one farm, so that I have several observations for one individual and included an indicator for each individual. The "xtreg" command works very well, although I am still not sure about the disadvantages of a fixed effects model. And still the problem will remain when I want to explain the differences between regions. Maybe there is a similarity between some regions that are not obvious, so I have to aggregate some regions. So, thank you very much once again. You gave me many more ideas! Natalie On 6/3/2010 11:58 AM, Christopher Baum wrote: > <> > Natalie said > > I also couldn't sort out how to make the "xtreg" command work. It gives > me the error "not sorted r(5);", even when I sorted the data and then > typed the "xtreg" command (maybe because there are too many variables or > maybe because I have cross sectional data?!). > > > I imagine you tried to include those explicit region variables (Saarland Brandenburg MeckPomm Sachsen, etc.) in xtreg, fe. You can't include region dummies and fit a fixed effects model. All you need to do is > > xtreg depvar indepvars, fe i(REGION) > > and Stata will fit the model using the within transformation (equivalent to including dummies for each REGION). > > To see that this works: > > webuse grunfeld > tsset, clear > xtreg invest mvalue kstock, i(company) fe > > Note that the sort order does not matter. You can randomly sort the observations in the dataset and the above FE model > will still work. > > Kit > > Kit Baum | Boston College Economics& DIW Berlin | http://ideas.repec.org/e/pba1.html > An Introduction to Stata Programming | http://www.stata-press.com/books/isp.html > An Introduction to Modern Econometrics Using Stata | http://www.stata-press.com/books/imeus.html > * > * 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/ * * 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: re: binary variables***From:*Christopher Baum <kit.baum@bc.edu>

**Re: st: re: binary variables***From:*Natalie Trapp <natalie.trapp@zmaw.de>

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