Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/64644 
Full metadata record
DC FieldValueLanguage
dc.contributor.authorvon Hinke Kessler Scholder, Stephanieen
dc.contributor.authorSmith, George Daveyen
dc.contributor.authorLawlor, Debbie A.en
dc.contributor.authorPropper, Carolen
dc.contributor.authorWindmeijer, Franken
dc.date.accessioned2012-10-10T12:59:25Z-
dc.date.available2012-10-10T12:59:25Z-
dc.date.issued2010-
dc.identifier.pidoi:10.1920/wp.cem.2010.0310en
dc.identifier.urihttp://hdl.handle.net/10419/64644-
dc.description.abstractThe 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
dc.language.isoengen
dc.publisher|aCentre for Microdata Methods and Practice (cemmap) |cLondonen
dc.relation.ispartofseries|acemmap working paper |xCWP03/10en
dc.subject.jelI1en
dc.subject.jelI2en
dc.subject.jelJ24en
dc.subject.ddc330en
dc.subject.keywordInstrumental Variablesen
dc.subject.keywordMendelian Randomizationen
dc.subject.keywordGenetic Varianten
dc.subject.keywordPotential Outcomesen
dc.subject.keywordAcademic Performanceen
dc.subject.keywordEducational Attainmenten
dc.subject.keywordAdiposityen
dc.subject.keywordFat massen
dc.subject.keywordBody Mass Indexen
dc.subject.keywordALSPACen
dc.subject.stwInstrumentalvariablen-Schätzmethodeen
dc.subject.stwBiologieen
dc.subject.stwHumankapitalen
dc.subject.stwGesundheitsrisikoen
dc.subject.stwBildungsabschlussen
dc.subject.stwGroßbritannienen
dc.titleGenetic markers as instrumental variables: An application to child fat mass and academic achievement-
dc.typeWorking Paperen
dc.identifier.ppn621242829en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:ifs:cemmap:03/10en

Files in This Item:
File
Size
275.89 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.