Re: st: Propensity Score Matching, fixing date variable when matching using psmatch2 (Out of office)

["Sarah Tougher" <Sarah.Tougher@lshtm.ac.uk>]

I am out of the office until November 7th. I have intermittent access to email, but will try to return your message as soon as possible. 

>>> Mario Reinhold <Mario.Reinhold@mailbox.tu-dresden.de> 10/20/11 09:50 >>>

For my diploma thesis I want to conduct Propensity Score matching. I  
try and extimate the wage reduction of persons that became unemployed  
and find a new job then after. In order to control for the  
macroeconomic circumstances in which a person finds a new job, I would  
like to 'fix' the year of the treated and untreated persons when  
matching, e.g. the age or the education does not have to be  
necessarily the same when matching, however the 'year' observed must  
be the same. One way would be to create subsamples, that is  
restricting the estimation to one certain year (or period) but that is  
not really what I want as I would have to conduct the same estimation  
20 times and it would only tell me 20 times how the situation in year  
t=1 to t=20 which is not sensible if I want to estimate a generalised  
effect over the 20 years observed.

The statistical model hence is:
ATT= E[y_it|D_i=1, P(x)] - E[y_it|D=0, P(x)]

with
t... date
i... individual
y... outcome
D... treatment

instead of:

ATT= E[y_i|D_i=1, P(x)] - E[y_i|D=0, P(x)]

Is there a way to conduct this analysis using psmatch2?
So far, my command is:
psmatch2 unmplyd, outcome(wage) pscore(ps) ate cal(0.0001)

where ps is estimated beforehands using probit.

I am sorry but I could not find anything related here on statalist.
I would be more than happy if I could receive some help.

Regards and thanks to all of you in advance,


Mario Reinhold
______________
graduand at Technische Universität Dresden (Germany)

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