Arindrajit Dube

http://dbpedia.org/resource/Arindrajit_Dube an entity of type: Thing

Arindrajit (Arin) Dube is a professor of economics at the University of Massachusetts Amherst, known internationally for his empirical research on the effects of minimum wage policies. He is among the foremost scholars regarding the economic impact of minimum wages. In 2019, he was asked by the UK Treasury to conduct a review of the evidence on the impact of minimum wages, which informed the decision to set the level of the National Living Wage. His work is focused on the economics of the labor market, including the role of imperfect competition, institutions, norms, and behavioral factors that affect wage setting and jobs. rdf:langString
Arindrajit Dube est un économiste américain, de l'université d'Amherst. Il est connu pour ses recherches empiriques sur l'effet du salaire minimum, qui tendent à montrer que celui-ci ne conduit pas à la suppression d'emplois, contrairement aux prédictions de certains modèles. rdf:langString
rdf:langString Arindrajit Dube
rdf:langString Arindrajit Dube
rdf:langString Arin Dube
rdf:langString Arin Dube
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rdf:langString University of Chicago
rdf:langString Arindrajit (Arin) Dube is a professor of economics at the University of Massachusetts Amherst, known internationally for his empirical research on the effects of minimum wage policies. He is among the foremost scholars regarding the economic impact of minimum wages. In 2019, he was asked by the UK Treasury to conduct a review of the evidence on the impact of minimum wages, which informed the decision to set the level of the National Living Wage. His work is focused on the economics of the labor market, including the role of imperfect competition, institutions, norms, and behavioral factors that affect wage setting and jobs.
rdf:langString Arindrajit Dube est un économiste américain, de l'université d'Amherst. Il est connu pour ses recherches empiriques sur l'effet du salaire minimum, qui tendent à montrer que celui-ci ne conduit pas à la suppression d'emplois, contrairement aux prédictions de certains modèles.
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