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dc.contributor.authorMoreno-Serra, Rodrigoen_US
dc.description.abstractMost of the literature on health programme evaluation has estimated average programme impacts relying on either: (i) data on the presence or absence of an intervention in a particular locality, or (ii) data on individual participation in the health programme. By estimating an average health impact which is independent of the programme’s population coverage, the empirical approaches of these studies overlook the important fact that public health interventions create externalities whose magnitude depends crucially on the number of covered individuals in a locality. The lain contributions of this paper are to suggest and apply an empirical approach for the impact evaluation of public health interventions which also takes into account treatment externalities, when non-experimental, routine data are available and under the assumption of average treatment effects by a propensity score matching-difference-in-differences estimator adapted to the case of multiple treatments, jointly evaluating the impact of different programme coverage levels. The methods are used to conduct an impact evaluation of the Family Health Programme (Programa Saude da Familia – PSF), the broadest health programme ever launched in Brazil, on adult and child health.en_US
dc.publisherVerein für Socialpolitik, Ausschuss für Entwicklungsländer Göttingenen_US
dc.relation.ispartofseriesProceedings of the German Development Economics Conference, Frankfurt a.M. 2009 44en_US
dc.subject.keywordhealth programme evaluationen_US
dc.subject.keywordmultiple treatmentsen_US
dc.subject.keywordpropensity score matchingen_US
dc.titleHealth Programme Evaluation by Propensity Score Matching: Accounting for Treatment Intensity and Health Externalities with an Application to Brazilen_US
dc.typeConference Paperen_US
Appears in Collections:Proceedings of the German Development Economics Conference, 2009 (Frankfurt a.M.)

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