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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10419/64644
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Full metadata record
| DC Field | | Value | | Language |
| dc.contributor.author | | von Hinke Kessler Scholder, Stephanie | | en_US |
| dc.contributor.author | | Smith, George Davey | | en_US |
| dc.contributor.author | | Lawlor, Debbie A. | | en_US |
| dc.contributor.author | | Propper, Carol | | en_US |
| dc.contributor.author | | Windmeijer, Frank | | en_US |
| dc.date.accessioned | | 2012-10-10T12:59:25Z | | - |
| dc.date.available | | 2012-10-10T12:59:25Z | | - |
| dc.date.issued | | 2010 | | en_US |
| dc.identifier.pi | | doi:10.1920/wp.cem.2010.0310 | | en_US |
| dc.identifier.uri | | http://hdl.handle.net/10419/64644 | | - |
| dc.description.abstract | | The use of genetic markers as instrumental variables (IV) is receiving increasing attention from economists. This paper examines the conditions that need to be met for genetic variants to be used as instruments. We combine the IV literature with that from genetic epidemiology, with an application to child adiposity (fat mass, determined by a dual-energy X-ray absorptiometry (DXA) scan) and academic performance. OLS results indicate that leaner children perform slightly better in school tests compared to their more adipose counterparts, but the IV findings show no evidence that fat mass affects academic outcomes. | | en_US |
| dc.language.iso | | eng | | en_US |
| dc.publisher | | Centre for Microdata Methods and Practice London | | en_US |
| dc.relation.ispartofseries | | cemmap working paper CWP03/10 | | en_US |
| dc.subject.jel | | I1 | | en_US |
| dc.subject.jel | | I2 | | en_US |
| dc.subject.jel | | J24 | | en_US |
| dc.subject.ddc | | 330 | | en_US |
| dc.subject.keyword | | Instrumental Variables | | en_US |
| dc.subject.keyword | | Mendelian Randomization | | en_US |
| dc.subject.keyword | | Genetic Variant | | en_US |
| dc.subject.keyword | | Potential Outcomes | | en_US |
| dc.subject.keyword | | Academic Performance | | en_US |
| dc.subject.keyword | | Educational Attainment | | en_US |
| dc.subject.keyword | | Adiposity | | en_US |
| dc.subject.keyword | | Fat mass | | en_US |
| dc.subject.keyword | | Body Mass Index | | en_US |
| dc.subject.keyword | | ALSPAC | | en_US |
| dc.subject.stw | | Instrumentalvariablen-Schätzmethode | | en_US |
| dc.subject.stw | | Biologie | | en_US |
| dc.subject.stw | | Humankapital | | en_US |
| dc.subject.stw | | Gesundheitsrisiko | | en_US |
| dc.subject.stw | | Bildungsabschluss | | en_US |
| dc.subject.stw | | Großbritannien | | en_US |
| dc.title | | Genetic markers as instrumental variables: An application to child fat mass and academic achievement | | en_US |
| dc.type | | Working Paper | | en_US |
| dc.identifier.ppn | | 621242829 | | en_US |
| dc.rights | | http://www.econstor.eu/dspace/Nutzungsbedingungen | | en_US |
| Appears in Collections: | | cemmap working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies (IFS)
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