أعرض تسجيلة المادة بشكل مبسط

dc.creator Angrist, Joshua D.
dc.date 2003
dc.date.accessioned 2013-10-16T07:08:39Z
dc.date.available 2013-10-16T07:08:39Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/20094
dc.identifier ppn:368838773
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/20094
dc.description Instrumental Variables (IV) methods identify internally valid causal effects for individuals whose treatment status is manipulable by the instrument at hand. Inference for other populations requires homogeneity assumptions. This paper outlines a theoretical framework that nests causal homogeneity assumptions. These ideas are illustrated using sibling-sex composition to estimate the effect of child-bearing on economic and marital outcomes. The application is motivated by American welfare reform. The empirical results generally support the notion of reduced labor supply and increased poverty as a consequence of childbearing, but evidence on the impact of childbearing on marital stability and welfare use is more tenuous.
dc.language eng
dc.publisher
dc.relation IZA Discussion paper series 851
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject J12
dc.subject J13
dc.subject C31
dc.subject ddc:330
dc.subject instrumental variables
dc.subject marital stability
dc.subject welfare
dc.subject causal effects
dc.subject Instrumentalvariablen-Schätzmethode
dc.subject Kausalanalyse
dc.subject Fruchtbarkeit
dc.subject Sozialhilfeempfänger
dc.subject Sozialhilfe
dc.subject Schätzung
dc.subject Vereinigte Staaten
dc.title Treatment Effect Heterogeneity in Theory and Practice
dc.type doc-type:workingPaper


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أعرض تسجيلة المادة بشكل مبسط