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From |
Steve Samuels <sjsamuels@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Multilevel duration event |

Date |
Fri, 20 Aug 2010 11:05:34 -0400 |

I don't really understand what you did, so I can't say much about it. You say that Stata is taking much time---to do what? How do you know it's your data set up and not something else? The list FAQ request that you show _exactly_ what you typed and what Stata produced. Don't do a "duration" analysis. I don't what "SILC" is (and you have not given references, as the FAQ request), but I assume that people could be in the initial state (poverty or not) for some time prior to the first wave. If so, the first wave is probably not a natural origin. If you don't have dates of transitions, you have grouped data; if you have losses to follow-up between interviews, you have interval censoring. You do not have enough time points (only two intervals) or information to meet the assumptions of a grouped data ("discrete") duration analysis Instead, I suggest that you model changes in status between waves. You will need at most two-lines of data for every person, one for each of the two intervals. You can have one model for transition to poverty and a second for transition out of poverty. Use -logistic- or -cloglog- for each model and cluster on person ID to correct standard errors. If you have trouble with this analysis, come back to the list. With a potential data set-up problem, show: lines of actual data ( include IDs but exclude most covariates, please); the Stata statements you used to transform the data; and a listing of the final analysis data set corresponding to the same data lines you originally showed. Keep the dots for missing values. Steve. Steven Samuels sjsamuels@gmail.com 18 Cantine's Island Saugerties NY 12477 USA Voice: 845-246-0774 Fax: 206-202-4783 On Tue, Aug 17, 2010 at 10:57 AM, Sabrina Carrossa <carrossa@gmail.com> wrote: > Hi all, > > I am trying to execute a multilevel duration model. > Since Stata is taking a lot of time to give me an output, I think that > I probably did some mistakes. > > I would be most grateful if you can help me. > > First of all, my aim is to analyse the entering in (and then exiting > from) poverty. I used a multidimensional definition of poverty that > combine both the monetary poverty and the material deprivation in one > dummy index of "consistent poverty" (1: if poor and deprived; 0: > otherwise). > Since I am analysing the first three waves of SILC data, I can't study > the re-entering/re-exeting from poverty, but I am focusing on a single > event. > > I have a doubt about the input data. In order to analyse the entering > in poverty, I created the person-year Db expanding each case D-times, > using the following algorithm: > > where: > - T1, T2, T3: three waves; Values: 1 (poor) 0 (not poor) and 2 > (missing, but in my Db it is "."); > - Y, Values 1 (entering in poverty) 0 (never been poor) > - D: duration > > T1 T2 T3 Y D > 0 0 0 0 3 > 0 0 1 1 3 > 0 0 2 0 2 > > 0 1 0 1 2 > 0 1 1 1 2 > 0 1 2 1 2 > > 0 2 0 0 1 > 0 2 1 dropped dropped > 0 2 2 0 1 > > 1 0 0 dropped dropped > 1 0 1 dropped dropped > 1 0 2 dropped dropped > > 1 1 0 dropped dropped > 1 1 1 dropped dropped > 1 1 2 dropped dropped > > 1 2 0 dropped dropped > 1 2 1 dropped dropped > 1 2 2 dropped dropped > > 2 0 0 0 2 > 2 0 1 1 2 > 2 0 2 0 1 > > 2 1 0 dropped dropped > 2 1 1 dropped dropped > 2 1 2 dropped dropped > > 2 2 0 0 1 > 2 2 1 dropped dropped > 2 2 2 dropped dropped > > > > Did I keep/drop my cases in the right way? > > Thanks a lot and sorry for this very long-mail. > > -- > sabrina > * > * 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/

**Follow-Ups**:**st: Interactions in xreg***From:*Morten Hesse <mh@crf.au.dk>

**References**:**st: Multilevel duration event***From:*Sabrina Carrossa <carrossa@gmail.com>

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