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Let the data speak?
on the umportance of theory-based instrumental variable estimations
Volker Grossmann (University of Fribourg, CESifo, CReAM, University College London and IZA), Aderonke Osikominu (University of Hohenheim, IAB, CEPR, CESifo and IZA) ; IZA Institute of Labor Economics
In absence of randomized controlled experiments, identification is often aimed via instrumental variable (IV) strategies, typically two-stage least squares estimations. According to Bayes' rule, however, under a low ex ante probability that a hypothesis is true (e.g. that an excluded instrument...
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Volume: | no. 12080 |
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Main Author: |
Grossmann, Volker
Osikominu, Aderonke |
Format: | eBook |
Language: | English |
Related: |
Forschungsinstitut zur Zukunft der Arbeit ¬[Herausgebendes Organ] |
Ort : Verlag : Erscheinungsdatum | Bonn, Germany : IZA Institute of Labor Economics : January 2019 |
Extent: | 1 Online-Ressource (37 Seiten) : Diagramme |
Umfang: (Dateityp; Kodierungsformat) | Textdatei; PDF |
Series: |
Discussion paper series / IZA Institute of Labor Economics ; no. 12080 |
Links: |
Fulltext |
HBZ-ID: |
HT019947180 » further libraries in North Rhine-Westphalia |
Database: | ULB Bonn |