Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
KERSTEN Sarah <sarah.kersten@unifr.ch> |

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

Subject |
AW: st: Is rho the right indicator in a multilevel analysis? |

Date |
Tue, 20 Nov 2012 08:41:21 +0100 |

Thank you for answering. I want to do multilevel analysis because I have people that are nested in these 26 entities, having variables on the individual level and the entity-level. xttobit, because the dependent variable is censored (20% of zeros). I want to explain to what degree individual variables and level-2-variables explain the time use. Von: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] im Auftrag von Austin Nichols [austinnichols@gmail.com] Gesendet: Dienstag, 20. November 2012 04:38 An: statalist@hsphsun2.harvard.edu Betreff: Re: st: Is rho the right indicator in a multilevel analysis? KERSTEN Sarah <sarah.kersten@unifr.ch>: No, rho tells you little. Regress dummies for any paid (unpaid) work on welfare policy variables, using -logit- or -probit- or -glm- and cluster-robust standard errors, then -test- whether those policy variables are jointly significant. Then regress hours of paid (unpaid) work on welfare policy variables, using -glm- with a log link and cluster-robust standard errors, then -test- whether those policy variables are jointly significant. These pairs of models are similar to a two-part model and do not require the distributional assumptions of -xttobit-. Are you using -xt- because you have repeated observations on people, or because you want to include effects for 26 political entities, and if you included fixed effects, policy variables would drop out? That is not a justification for -xttobit- or the like; you must believe the distributional assumptions. On Mon, Nov 19, 2012 at 6:47 AM, KERSTEN Sarah <sarah.kersten@unifr.ch> wrote: > Dear Statalist, > I am currently doing research about gender differences regarding the time use of paid and unpaid work, the dependent variable is therefore hours worked per week. This makes two analyses for paid and unpaid work, plus two for men and women. Important to say also that it is a multilevel analysis, as I have 26 unities and for each different variables coming from policies, economies etc. The dependent variable (lets just look at employed work) is censored, as I integrate also unemployed people, so there are a lot of zero's. This is why I use xttobit, I read quite a lot studies using this with no panel data. Now my problem is, that I am mostly interested in the level 2 variables, because my hypotheses is that the individual time use is influenced by the different welfare regimes etc. The only indicator the stata output gives me about the relevance of the second level is rho, in my understanding. It is so small (depending on the model from 0.02% to 0.005%) that I think the secon! d ! > level is not relevant, contradicting a little bit actual research. > My questions now are: is rho the only indicator, since I cannot calculate a null model (why?) with xttobit and calculate R square, about the influence of the second level variables? Is this method the right one? > > Thanks a lot, > Sarah * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/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/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Is rho the right indicator in a multilevel analysis?***From:*KERSTEN Sarah <sarah.kersten@unifr.ch>

**Re: st: Is rho the right indicator in a multilevel analysis?***From:*Austin Nichols <austinnichols@gmail.com>

- Prev by Date:
**st: merging datasets** - Next by Date:
**st: RE: merging datasets** - Previous by thread:
**Re: st: Is rho the right indicator in a multilevel analysis?** - Next by thread:
**st: svy: total command** - Index(es):