Re: st: Propensity Score Matching, fixing date variable when matching using psmatch2

[David Kantor <kantor.d@att.net>]

You may also want to look at mahapick in the mahapick module. It has 
a -matchon- option.
HTH
--David

At 10:47 AM 10/20/2011, you wrote:
> Mario Reinhold <Mario.Reinhold@mailbox.tu-dresden.de>:
> You want an exact match on year and a close match on ps, which has
> been discussed on the list many times.  One way to do it:
>
> g fake=year*10+ps
> psmatch2 unmplyd, outcome(wage) pscore(fake) ate cal(0.0001)
>
> I hope you are conditioning on multiple years of lagged employment and
> wages (wage histories) when creating ps.
> Also, the mean is only one moment of interest for reemployed persons;
> see e.g. http://www.jstor.org/stable/1935837
> and the difference in means may well vary across years and macro conditions.
>
> On Thu, Oct 20, 2011 at 4:50 AM, Mario Reinhold
> <Mario.Reinhold@mailbox.tu-dresden.de> wrote:
> > 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.

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