Gignoux, JeremieFerreira, Francisco H.G.Aran, Meltem2014-09-022014-09-022010-02https://hdl.handle.net/10986/19918The measurement of inequality of opportunity has hitherto not been attempted in a number of countries because of data limitations. This paper proposes two alternative approaches to circumventing the missing data problems in countries where a demographic and health survey and an ancillary household expenditure survey are available. One method relies only on the demographic and health survey, and constructs a wealth index as a measure of economic advantage. The alternative method imputes consumption from the ancillary survey into the demographic and health survey. In both cases, the between-type share of overall inequality is computed as a lower bound estimator of inequality of opportunity. Parametric and non-parametric estimates are calculated for both methods, and the parametric approach is shown to yield preferable lower-bound measures. In an application to the sample of ever-married women aged 30-49 in Turkey, inequality of opportunity accounts for at least 26 percent (31 percent) of overall inequality in imputed consumption (the wealth index).en-USCC BY 3.0 IGOADULT POPULATIONAGRICULTURAL LANDASSETSAVERAGINGBENCHMARKBETWEEN-GROUP INEQUALITYCDCONSUMPTIONCONSUMPTION EXPENDITURESCONSUMPTION INEQUALITYDATA SETDATA SETSDECOMPOSITION OF INEQUALITYDECREASING FUNCTIONDESCRIPTIVE STATISTICSDISADVANTAGED GROUPSDISCRIMINATIONDISTRIBUTIONDISTRIBUTION FUNCTIONSDISTRIBUTION OF OPPORTUNITIESDISTRIBUTIONS OF WEALTHDURABLE GOODSEARLY MARRIAGEECONOMIC EFFICIENCYECONOMIC GROWTHECONOMIC INEQUALITYECONOMIC OPPORTUNITYECONOMIC OUTCOMESECONOMIC STUDIESECONOMIC THEORYEDUCATIONAL ATTAINMENTEMPIRICAL ANALYSISEMPIRICAL ESTIMATESEMPIRICAL STUDIESEQUAL OPPORTUNITIESEQUALITY OF OPPORTUNITYEQUITYFORMAL EDUCATIONFUNCTIONAL FORMFUTURE RESEARCHGINI COEFFICIENTGROUP MEANSGROWTH PROCESSHETEROSKEDASTICITYHOUSEHOLD BUDGETHOUSEHOLD CONSUMPTIONHOUSEHOLD HEADHOUSEHOLD HEAD AGEHOUSEHOLD INCOMEHOUSEHOLD MEMBERSHOUSEHOLD SIZEHOUSEHOLD SURVEYHOUSEHOLD WELFAREHUMAN CAPITALINCENTIVESINCOMEINCOME DIFFERENTIALSINCOME INEQUALITYINCOME LEVELSINCOMESINDIVIDUAL CHOICESINEQUALITY INDEXINEQUALITY MEASUREINEQUALITY MEASUREMENTINEQUALITY MEASURESINEQUALITY OF OPPORTUNITIESINEQUALITY OF OPPORTUNITYINEQUALITY TRAPSLEVELS OF EDUCATIONLEVELS OF INEQUALITYLINEAR REGRESSIONLINEAR RELATIONSHIPLIVING CONDITIONSMARRIED WOMENMEAN LOG DEVIATIONMEASURE OF INEQUALITYMEASURES OF INEQUALITYMEASURING INEQUALITYMOTHERMOTHER TONGUESNATIONAL LEVELNUMBER OF CHILDRENOPPORTUNITY SETOPPORTUNITY SETSOUTCOMESOVERALL INEQUALITYOWNERSHIPPER CAPITA CONSUMPTIONPOLICY RESEARCHPOLICY RESEARCH WORKING PAPERPOLITICSPOORPOPULATION SHAREPOPULATION SUBGROUPSPOVERTYPOVERTY MAPPINGPRIMARY EDUCATIONPRIMARY SCHOOLPRODUCTPROGRESSPUBLIC AFFAIRSPUBLIC ECONOMICSREGIONAL DIFFERENCESREGIONAL DUMMIESRELATIVE IMPORTANCERENTRESIDUAL TERMRUNNING WATERRURALRURAL AREARURAL AREASSANITATIONSCARCE RESOURCESSECONDARY EDUCATIONSECONDARY SCHOOLSHARESSIGNIFICANT DIFFERENCESSOCIAL JUSTICESOCIAL POLICYSOCIOECONOMIC STATUSSTATISTICAL ANALYSISTARGETINGTELEVISIONTOTAL INEQUALITYTRADETRANSFERSTVUNEQUAL OPPORTUNITIESURBAN AREASUTILITYVALUEVARIABLESWEALTHWELFAREWOMANWORKSHOP10.1596/1813-9450-5204