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dc.contributor.authorSchlotter, Martin
dc.contributor.authorSchwerdt, Guido
dc.contributor.authorWoessmann, Ludger
dc.date.accessioned2015-01-06T13:26:15Z
dc.date.available2015-01-06T13:26:15Z
dc.date.issued2010-01
dc.identifier.urihttp://hdl.handle.net/123456789/3420
dc.description.abstractEducation policy-makers and practitioners want to know which policies and practices can best achieve their goals. But research that can inform evidence-based policy often requires complex methods to distinguish causation from accidental association. Avoiding econometric jargon and technical detail, this paper explains the main idea and intuition of leading empirical strategies devised to identify causal impacts and illustrates their use with real-world examples. It covers six evaluation methods: controlled experiments, lotteries of oversubscribed programs, instrumental variables, regression discontinuities, differences-indifferences, and panel-data techniques. Illustrating applications include evaluations of earlychildhood interventions, voucher lotteries, funding programs for disadvantaged, and compulsory-school and tracking reforms.es_ES
dc.language.isoenes_ES
dc.publisherUniversity of Bonn. Institute for the Study of Labores_ES
dc.relation.ispartofseriesIZA Discussion Paper;4725
dc.subjectEconometríaes_ES
dc.subjectEconomía de la educaciónes_ES
dc.subjectVales educativoses_ES
dc.titleEconometric Methods for Causal Evaluation of Education Policies and Practices : A Non-Technical Guidees_ES
dc.typeWorking Paperes_ES


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