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dc.contributor.authorAngrist, Joshua D.en_US
dc.contributor.authorPischke, Jörn-Steffenen_US
dc.date.accessioned2010-03-16en_US
dc.date.accessioned2010-07-07T12:08:17Z-
dc.date.available2010-07-07T12:08:17Z-
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/10419/36365-
dc.description.abstractThis essay reviews progress in empirical economics since Leamer's (1983) critique. Leamer highlighted the benefits of sensitivity analysis, a procedure in which researchers show how their results change with changes in specification or functional form. Sensitivity analysis has had a salutary but not a revolutionary effect on econometric practice. As we see it, the credibility revolution in empirical work can be traced to the rise of a design-based approach that emphasizes the identification of causal effects. Design-based studies typically feature either real or natural experiments and are distinguished by their prima facie credibility and by the attention investigators devote to making the case for a causal interpretation of the findings their designs generate. Design-based studies are most often found in the microeconomic fields of Development, Education, Environment, Labor, Health, and Public Finance, but are still rare in Industrial Organization and Macroeconomics. We explain why IO and Macro would do well to embrace a design-based approach. Finally, we respond to the charge that the design-based revolution has overreached.en_US
dc.language.isoengen_US
dc.publisherIZA Bonnen_US
dc.relation.ispartofseriesIZA Discussion Papers 4800en_US
dc.subject.jelC01en_US
dc.subject.ddc330en_US
dc.subject.keywordResearch designen_US
dc.subject.keywordnatural experimentsen_US
dc.subject.keywordquasi-experimentsen_US
dc.subject.keywordstructural modelsen_US
dc.subject.stwWirtschaftsforschungen_US
dc.subject.stwÖkonometrieen_US
dc.subject.stwKausalanalyseen_US
dc.subject.stwExperimentelle Ökonomiken_US
dc.subject.stwStrukturgleichungsmodellen_US
dc.subject.stwGlaubwürdigkeiten_US
dc.titleThe credibility revolution in empirical economics: how better research design is taking the con out of econometricsen_US
dc.typeWorking Paperen_US
dc.identifier.ppn621208477en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
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