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 |
"Lim, Daniel" <danielyewmaolim@fas.harvard.edu> |

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

Subject |
st: RE: Propensity Score Matching, fixing date variable when matching using psmatch2 |

Date |
Thu, 20 Oct 2011 09:53:03 -0400 |

Hi Mario, Perhaps you could implement a fixed effects logit instead of a probit in your first stage? clogit unmplyd [indepvars], group(year) robust predict ps psmatch2 unmplyd, outcome(wage) pscore(ps) ate cal(0.0001) Daniel -- Daniel Yew Mao Lim Department of Government Harvard University http://scholar.harvard.edu/danielyewmaolim ________________________________________ From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] On Behalf Of Mario Reinhold [Mario.Reinhold@mailbox.tu-dresden.de] Sent: Thursday, October 20, 2011 4:50 AM To: statalist@hsphsun2.harvard.edu Subject: st: Propensity Score Matching, fixing date variable when matching using psmatch2 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) * * 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/

**References**:**st: Propensity Score Matching, fixing date variable when matching using psmatch2***From:*Mario Reinhold <Mario.Reinhold@mailbox.tu-dresden.de>

- Prev by Date:
**Re: st: Labelling factor levels when using eststo and esttab** - Next by Date:
**Re: st: Testing whether two estimated survey means are statistically different** - Previous by thread:
**st: Propensity Score Matching, fixing date variable when matching using psmatch2** - Next by thread:
**Re: st: Propensity Score Matching, fixing date variable when matching using psmatch2** - Index(es):