AW: st: Survival Analysis: How to solve the problem of endogeneity of an explanatory variable

["Ingrid Hohenleitner" <hohenleitner@hwwi.org>]

Dear Tamas,

thank you very much for your quick and helpful answer! Will take into
account to find a solution with this interesting approach.

Best regards,
Ingrid Hohenleitner




Hamburgisches WeltWirtschaftsInstitut gemeinnützige GmbH (HWWI)
Hamburg Institute of International Economics (HWWI)
Heimhuder Str. 71
20148 Hamburg
Tel +49-(0)40-340576-338
Fax +49-(0)40-340576-776
Internet: www.hwwi.org
Email: hohenleitner@hwwi.org

 

Amtsgericht Hamburg HRB 94303
Geschäftsführer: Prof. Dr. Thomas Straubhaar, Gunnar Geyer
Umsatzsteuer-ID: DE 241849425


-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von "Bartus Tamás"
Gesendet: Dienstag, 19. November 2013 16:33
An: statalist@hsphsun2.harvard.edu
Betreff: Re: st: Survival Analysis: How to solve the problem of endogeneity
of an explanatory variable

Dear Ingrid,
 
If you find the assumption of lognormal distribution realistic in your
resarch, you might check the following
presentation:
 
http://www.stata.com/meeting/germany12/abstracts/desug12_bartus.pdf 
 

You might also be interested in the new features of Stata 13.1 which were
advertised recently on the list.
 
 
 
(The above presentation does not deal with multispell data but I currently
work on this extension)
 
 
 
Tamas
 
 
 
 
 
On 13/11/19, Ingrid Hohenleitner <hohenleitner@hwwi.org> wrote: 
> Dear community,
> 
> I am working on a problem in survival analysis, trying to find out the 
> difference in transition rate from unemployment to employment (<- time 
> to event), between two groups: people who are sanctioned, and those 
> who are not sanctioned. Where ?sanctioned? means that the amount of 
> unemployment benefit payment is reduced for a certain period as a 
> punishment, for example if the unemployed does not show enough effort 
> to search a job. The probability of being sanctioned as well as the 
> probability to find a job depends on unobserved characteristics like a
person?s attitude to work.
> 
> Thus, I face the problem that the variable ?sanctioned? is dependent 
> upon observed as well as of unobserved determinants. And furthermore, 
> the explanatory variable ?sanctioned? is endogenous and the process of 
> being sanctioned is not exogenous with respect to the transition from 
> unemployment to employment.
> 
> I am not an expert in STATA and was wondering how to deal with this
problem.
> Should I handle the problem by simultaneously modeling two parallel 
> processes, the sanctioning and the transition-into-employment process; 
> or by some other way?
> In either case, can you suggest me the inbuilt STATA commands, or 
> freely available routines that I can use to address this problem.
> 
> I would be very grateful for your help, Ingrid Hohenleitner
> 
> 
> 
> Hamburgisches WeltWirtschaftsInstitut gemeinnützige GmbH (HWWI) 
> Hamburg Institute of International Economics (HWWI) Heimhuder Str. 71
> 20148 Hamburg
> Tel +49-(0)40-340576-338
> Fax +49-(0)40-340576-776
> Internet: www.hwwi.org
> Email: hohenleitner@hwwi.org
> 
> Amtsgericht Hamburg HRB 94303
> Geschäftsführer: Prof. Dr. Thomas Straubhaar, Gunnar Geyer
> Umsatzsteuer-ID: DE 241849425
> 
> 
> 
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> 
> 
--

Tamás Bartus, PhD
Associate Professor, Deputy Director
Institute of Sociology and Social Policy Program Director, Doctoral School
of Sociology Corvinus University, Budapest
1093 Budapest, Közraktár utca 4-6.
Room 424.
Phone: +36-1-482-7301
Fax: +36-1-482-7348
Homepage: http://web.uni-corvinus.hu/bartus

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