<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ravallion, Martin</style></author><author><style face="normal" font="default" size="100%">Galasso, Emanuela</style></author><author><style face="normal" font="default" size="100%">Lazo, Teodoro</style></author><author><style face="normal" font="default" size="100%">Philipp, Ernesto</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">What Can Ex-Participants Reveal about a Program’s Impact?</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Human Resources</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005-01-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">208-230</style></pages><doi><style  face="normal" font="default" size="100%">10.3368/jhr.40.1.208</style></doi><volume><style face="normal" font="default" size="100%">40</style></volume><issue><style face="normal" font="default" size="100%">1</style></issue><abstract><style  face="normal" font="default" size="100%">We propose a method for estimating the mean impact of an assigned social program when it is not feasible to do a pre-intervention baseline survey but it is feasible to track ex-participants. In our triple-difference estimator, measured outcome changes are compared between continuing participants and matched ex-participants, after netting out the outcome changes for a matched comparison group who never participated. With sufficient followup observations one can test the joint conditions required for correctly identifying the gains to current participants. We apply the method to a workfare program in Argentina. Significant impacts on participants’ current incomes are revealed.</style></abstract></record></records></xml>