Worker sorting, compensating differentials and health insurance: evidence from displaced workers
In: NBER working paper series 12951
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In: NBER working paper series 12951
In: Canadian public policy: Analyse de politiques, S. 1-13
ISSN: 1911-9917
In: Canadian Journal of Economics/Revue canadienne d'économique, Band 51, Heft 2, S. 627-659
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In: NBER Working Paper No. w24755
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Working paper
In: IZA journal of labor policy, Band 6, Heft 1
ISSN: 2193-9004
AbstractThe idea that genetic differences may explain a multitude of individual-level outcomes studied by economists is far from controversial. Since more datasets now contain measures of genetic variation, it is reasonable to postulate that incorporating genomic data in economic analyses will become more common. However, there remains much debate among academics as to, first, whether ignoring genetic differences in empirical analyses biases the resulting estimates. Second, several critics argue that since genetic characteristics are immutable, the incorporation of these variables into economic analysis will not yield much policy guidance. In this paper, we revisit these concerns and survey the main avenues by which empirically oriented economic researchers have utilized measures of genetic markers to improve our understanding of economic phenomena. We discuss the strengths, limitations, and potential of existing approaches and conclude by highlighting several prominent directions forward for future research.JEL Classification:I12, J19, I26
In: NBER Working Paper No. w23259
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In: NBER Working Paper No. w22126
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In: NBER Working Paper No. w22959
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In: Economics of education review, Band 40, S. 55-75
ISSN: 0272-7757
In: NBER Working Paper No. w19937
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In: NBER Working Paper No. w18786
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In: NBER Working Paper No. w18785
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Working paper
In: NBER Working Paper No. w15200
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In: NBER Working Paper No. w12951
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In: NBER Working Paper No. w12305
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