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dc.contributor.authorLise, Jeremyen_US
dc.contributor.authorSeitz, Shannonen_US
dc.contributor.authorSmith, Jeffrey A.en_US
dc.description.abstractThis paper introduces an innovative test of search and matching models using the exogenous variation available in experimental data. We take an off-the-shelf Pissarides matching model and calibrate it to data on the control group from a randomized social experiment. We then simulate a program group from a randomized experiment within the model. As a measure of the performance of the model, we compare the outcomes of the program groups from the model and from the randomized experiment. We illustrate our methodology using the Canadian Self-Sufficiency Project (SSP), a social experiment providing a time limited earnings supplement for Income Assistance recipients who obtain full time employment within a 12 month period. We find two features of the model are consistent with the experimental results: endogenous search intensity and exogenous job destruction. We find mixed evidence in support of the assumption of fixed hours of labor supply. Finally, we find a constant job destruction rate is not consistent with the experimental data in this context.en_US
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen_US
dc.relation.ispartofseries|aIZA Discussion Papers |x1717en_US
dc.subject.keywordequilibrium search and matching modelsen_US
dc.subject.keywordpolicy experimentsen_US
dc.subject.keywordSelf-Sufficiency Projecten_US
dc.subject.keywordsocial experimentsen_US
dc.titleEvaluating search and matching models using experimental dataen_US
dc.type|aWorking Paperen_US

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