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From |
Austin Nichols <austinnichols@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Propensity Score Estimation |

Date |
Thu, 23 Apr 2009 11:03:36 -0400 |

Nicole Danna <ndanna@berkeley.edu>: If your outcome is y, your "treatment" is x and other RHS variables all start with v, then you can calculate a propensity score with logit x v* predict p Then you want to make sure that p does not have positive density near zero or one, e.g. ssc inst kdens sysuse nlsw88, clear logit collgrad south smsa c_city married never_married predict p kdens p, ul(1) ll(0) *(density should be zero for two intervals that include 0 and 1) *and compare overlap: loc w=r(width) kdens p if collgrad==1, ul(1) ll(0) bw(`w') g(d1 x) nogr kdens p if collgrad==0, ul(1) ll(0) bw(`w') g(d0) at(x) nogr line d0 d1 x, name(comp, replace) Then you can match or reweight to estimate the effect of x on y, assuming v* are exogenous and selection on x depends only on v*; see also papers at http://www-personal.umich.edu/~nicholsa/stata On Thu, Apr 23, 2009 at 1:08 AM, Nicole Danna <ndanna@berkeley.edu> wrote: > Hello. > I'm writing a undergraduate economic honors thesis and need help calculating > propensity scores with Stata. I'm looking for step by step instructions on > how to calculate a P score. > Thank you! * * 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 Estimation***From:*Nicole Danna <ndanna@berkeley.edu>

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