“Gender Equality In Human Development – Measurement

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Issue PaperPrepared for the Expert Group Meeting on“Gender Equality in Human Development –Measurement Revisited”Human Development Report Office, UNDPJune 2015

INTRODUCTIONGender equality and women’s empowerment are integral to human development. Since the BeijingDeclaration and Platform for Action in 1995, considerable progress has been made, yet in the mean whilealong with existing shortfalls, new and extensive challenges have emerged, pertaining both to women statusand the full realization of their human rights. To take account of expanded research and knowledge on whataffect these issues, and more and better data available, it is timely to review how achievement of the equalityand empowerment of women may better be measured in an international context. With new sources andmore data disaggregated by gender being collected and compiled, dimensions of deprivation that werepreviously difficult to measure may become accessible. At the same time, advances in conceptual, empiricaland methodological knowledge could help design new approaches to quantified measurements of genderequality and women’s empowerment. The goals, targets and indicators for the post-2015 agenda are likelyto give rise to expanded sets of national indicators; regular review of progress could strengthen monitoringand sustain momentum.The Expert Group Meeting on gender equality and its measurement is intended as an occasion to revisit thevarious approaches to this issue through open dialogues that will take stock of several of the most prominentmeasures currently in use, explore areas that need greater attention, examine methodologicalunderpinnings, and assess the potential of emerging data to fill gaps. These discussions are especially timelygiven the additional emphasis given to the eradication of gender based inequalities in the post-2015development agenda, as manifested in the Sustainable Development Goals (SDGs), targets and indicators.1.GENDER EQUALITY AND HUMAN DEVELOPMENTThe fundamental principle of human development is for people to enlarge their choices, to realize theirpotential, and to enjoy the freedom to lead lives they value or have reason to value. Equal opportunities inall spheres, for all people, women and men alike, are at the heart of the human development. However,those options remain unequally distributed within and across societies and unfortunately many are stilllargely unavailable to women. Disadvantage and discrimination, lack of insights into what particularly affectswomen’s lives, including health (physical and emotional), reinforced by social norms and values, institutions,and public policies, exist in every sphere of women’s lives, manifested differently in different countrysettings. They limit women’s capabilities, opportunities, and choices, resulting in less progress than men interms of health, education, standard of living, empowerment, personal security and other critical dimensionsof human development. Thus, the full potential of many women’s lives cannot reach optimal level andhumanity as a whole does not reap its potentials.Since its inception in 1990, the Human Development Report (HDR) has presented many aspects of thesedisparities – such as those in education, work, health, political participation and often underlying issuesrelated to data and measurement. The 1995 HDR was one of the first global development publications tobring these ideas to the fore in an integrated manner, including a presentation of the historical and politicalmovement for gender equality within the human development paradigm.Much progress has been made over the past 20 years in reducing these disparities; however, the unfinishedtasks are still pronounced and new challenges continue to emerge, and new insight is generated through1

more extensive research and attention to disaggregated and relevant data collection that also begs newmeasurements of progress for women. And although some convergence has occurred in ‘capabilities’between men and women as measured by the traditional HDI indicators it appears not adequate forwomen’s functionings and ability to exercise the same choices and realise their potential. These differencesgenerate unequal achievements. As a result, the full potential of many women’s lives cannot be realised.2.MEASURING HUMAN DEVELOPMENT PROGRESS FOR MEN AND WOMEN USING COMPOSITEINDICESComposite indices have shown to be valuable instruments to capture multi-dimensional inequalities, whichhelp generate attention, stimulate policy debate and analysis, support advocacy and monitor progress.Different entities have put forward different measures – each unique in its own way in the data that is usedand how it is put together – and gained significant experience in their use.Much more data, from many different sources, is now available, indicating opportunities for furtheradvancement of work in this area. Better data on gender differences in many important aspects ofdevelopment are now available from official national statistical sources. These data are customarily collectedin population censuses and national household surveys on labour force, household spending, time use, aswell as in international surveys such as the Demographic and Health Survey (DHS) and the Multiple IndicatorCluster Survey (MICS). There are also non-official sources of sex disaggregated data such as the Gallup WorldPoll, the World Value Survey and a variety of so-called social barometers.The international statistical community has put considerable efforts to generate internationally comparablegender indicators through a new initiatives such as the Evidence and Data for Gender Equality (EDGE)Initiative, a recent project executed jointly by the UN Statistics Division and the UN Women. The initiativeresulted in a set of gender indicators on education and health, human rights, public life and decision making,economic activities, employment, entrepreneurship and assets.1 Some of these indicators (47) are alreadyavailable for many countries, some of them have a limited coverage, and some are in the process ofdevelopment. Many of these data are now collected and reported annually allowing for the consistenttracking of the progress over time. A larger number of indicators means a better choice for empirical analysesof gender equality, but also a better choice for more efficient combining into composite indices for directingpolicies and specific targeting and advocacy. Concurrently, ‘Data2x: partnering for a gender data revolution’2spotlights in particular 28 key gaps in gender data across the five domains of health, education, economicopportunities, political participation, and human security.Although a great deal of innovative work is usually needed in construction of a composite index, manysubjective preferences and assumptions also enter the equations. Moreover, even a well-designedcomposite index has to leave things out, or needs independent corroboration. That is why it is alwaysimportant to pay attention to specific indicators alongside of the composite measure to capture differentaspects of the measured concept. Each such single indicator underlines the importance of related conceptby exposing the poor or good cator2http://data2x.org/gender-data-gaps/2

A composite measure should meet some basic criteria. It has to be based on a solid theoretical foundation,conform to a common notion of what is being measured, and fit the purpose for which it is developed,correspond to strong policy or advocacy value, and be understandable and easy to describe,. It also has tobe methodologically solid, operationally viable and easily replicable. For advocacy in particular, it shouldenable comparison across countries.3. GENDER INDICES IN THE HUMAN DEVELOPMENT REPORTS AND BEYONDThe HDR launched its first set of gender related composite indices, the Gender-related Development Index(GDI) and the Gender Empowerment Measure (GEM), in the 1995 report. These two composite indiceswere the first of their kind in bringing together measurements of gender disparities in different dimensionsof human development. Their purpose, to “engender human development”, was to highlight the gap thatexists between women and men’s opportunities and capabilities, and to also examine the progress madein reducing gender disparities in the past few decades (UNDP 1995).Using the GDI and GEM, countries were ranked on a global scale by their performance towards achievinggender equality. These indices were intended to provide important tools for governments and policymakers to monitor the status of women and design programs to equalize opportunities provided to womenand men. As stated in the 1995 report, “investing in women’s capabilities and empowering them toexercise their choices is not only valuable in itself it is also the surest way to contribute to economic growthand overall development”. Therefore, “gender equality must be an integral part of the sustainable humandevelopment paradigm (UNDP 1995)”.However, over the years the GDI and GEM were criticized for their limitations in accurately capturinggender disparities and their weakness in reflecting critical, concurrent gender issues. Responding to thesecriticisms, the HDRs introduced an alternative pair of gender indices in 2010, the Gender Inequality Index(GII) and the new Gender Development Index (nGDI).In the meantime, several other organizations/agencies have also launched measures of gender inequality.A common feature of these measures is that they are expressed as composite indices of the form𝐼 𝐹(𝑑1 (𝑥11 , , 𝑥1𝑀1 ), , 𝑑𝐾 (𝑥𝐾1 , , 𝑥𝐾𝑀𝐾 )),where 𝐼 represents the value of the index, F the unique functional form, the 𝑑𝑘 , k 1, K, the dimensionsincorporated in the index and the 𝑥𝑘𝑚 , k 1, ,K, m 1, ,Mk the observed indicators used to assess thevalue of the dimension 𝑑𝑘 . A summary of some of the more commonly prevalent measures is in Tables 1and 2.3

Table 1. Gender indices published in the Human Development ReportsIndexFocus mentDimensionLong andhealthy ngfrequencyLife expectancy at birthUNDESABienniallyAdult literacy rateUISAnnuallyCombined gross enrolmentratio in educationEstimated earned income( PPP)Female legislators, seniorofficials and managersUISAnnuallyWorld onFemale professional andtechnical workersWomen’s shares ofparliamentary seatsIPUAnnuallyPower overeconomicresourcesRatio of female to maleestimated earned income(PPP )World Bank,ILOAnnuallyReproductivehealthMaternal mortality ratioUN IAEG forMaternalMortalityBienniallyAdolescent birth rateUNDESABienniallyFemale and male shares ofparliamentary seatsIPUAnnuallyFemale and male shares ofpopulation with at leastsecondary educationUIS, Barro andLeeAnnuallyLabour marketFemale and male labour forceparticipation ratesILOAnnuallyHealthLife expectancy at birthUNDESABienniallyKnowledgeMean years of schoolingAnnuallyExpected years of schoolingUIS, Barro andLeeUISEstimated GNI per capita(PPP )World Bank,ILO, UNDESAAnnuallyStandard oflivingEconomicparticipationand decisionmaking powerEmpowermentnGDIIndicatorStandard oflivingAnnuallyAnnually4Functional formProducerIndexCoveragePublicationGDI is the unweighted arithmetic mean of the inequality-adjusteddimension indices, i.e. the harmonic mean (EDEP) of male andfemale dimension indices. The adjusted income for women and menare calculated with similar procedure as HDI starting in 1999.HDR, UNDP155Annually,1995-2009GEM is the unweighted arithmetic mean of the inequality-adjusteddimension indices, i.e. the harmonic mean (EDEP) of male andfemale dimension indicesHDR, UNDP109Annually,1995-2009GII is an inequality measure based on harmonic mean of geometricmeans. First, the dimension indices are aggregated separately forfemales and males by the geometric mean to obtain the averagelevels of achievements across dimensions for each gender. Theaverage level of achievement was also calculated for the entirepopulation irrespectively of the gender. The two gender-basedgeometric means are aggregated by the harmonic mean andcompared to the mean calculated for the entire population. Ratio ofthese two means is subtracted from 1 to obtain the GII.HDR, UNDP152Annually,2010-2014GDI is the ratio of female HDI to male HDIHDR, UNDP148Annually,2014

Table 2. Gender indices by other sDimensionEconomicparticipation andopportunityIndicatorIndicator sourceRatio of female labour force participation overmale valueWage equality between women and men forsimilar work (female-over-male ratio)ILO, KILMRatio of female estimated earned income overmale valueRatio of female legislators, senior officials, andmanagers over male valueWEF calculations based onHDR methodologyILORatio of female professional and technical workersover male valueILORatio of female literacy rate over male valueUIS, HDRUISHealth and survivalRatio of female net primary enrolment rate overmale valueRatio of female net secondary enrolment rateover male valueRatio of female gross tertiary enrolment rate overmale valueSex ratio at birth (female-over-male ratio)WHOPoliticalempowermentRatio of female healthy life expectancy over malevalueRatio of females with seats in parliament overmale valueRatio of females at ministerial level over malevalueRatio of number of years of a female head of state(last 50 years) over male valueIPUEducationalattainmentWEF, Executive OpinionSurveyUISUISCIA World FactbookIPUWEF calculations5Functional formProducerIndexCoverageGGGI is the unweighted arithmeticmean of the four subindices, whichwere constructed as the weightedarithmetic mean of the correspondingindicators. Higher weights areassigned to indicators with lowerstandard deviations. The weightingscheme of the 2006 index is used insubsequent years. All indicators areexpressed as female to male ratiosand are truncated at 1 as ually,2006-2014

IndexFocus conceptSIGISocial norms anddiscrimination insocial institutionsDimensionDiscriminatoryfamily codeSIGI country profilesEarly marriageUN World Marriage Data, DHS, MICSParental authoritySIGI country profilesInheritanceSIGI country profilesViolence against womenFemale genital mutilationSIGI country profiles, DHS, MICS,World Value Survey, WHO,International Violence Against WomenSurvey, European Union Agency forFundamental RightsWHO, MICS, DHSReproductive autonomyDHS, MICS, WHOMissing womenCIA, UNPDFertility preferencesSecure access to landDHS, MICS, EUROSTAT, Nationalhousehold surveysSIGI country profilesSecure access to non-land assetsSIGI country profilesAccess to financial servicesSIGI country profilesRestricted civillibertiesAccess to public spaceSIGI country profilesPolitical voiceSIGI country profiles, World Bank, IPUEducationPrimary school enrolmentUISSon biasRestrictedresources andassetsGenderdisparitiesIndicator sourceLegal age of marriageRestricted physicalintegrityGEIIndicatorSecondary school enrolmentTertiary education enrolmentAdult literacy rateEconomicparticipationLabour force gapILONon-vulnerable employmentEstimated income gapWomenempowermentSeats in parliamentIPULegislators, senior officials, and managersILOProfessional and technical workersWomen in ministerial positionsIPU6Functional formProducerIndexCoveragePublicationEach subindex is aggregated fromvariables using a reasonableweighting scheme (through apolychoric Principal ComponentAnalysis procedure). SIGI is anunweighted arithmetic mean of anon-linear function of the subindices.The non-linear transformation(square each subindex) means thathigh inequality penalized in onedimension can only be partiallycompensated with low inequality inanother dimensionOECDDevelopment Centre1082009, 2012,2014The ratio of female to maleperformance for each of the elevenindicators is computed and rescaledto generate an index ranging from 0to 100. The indicators are weightedby population to account for thegender differences in populationshare in each country, and thenaggregated by unweighted arithmeticmean into dimension indices. GEI isthe unweighted arithmetic mean ofthese three dimension indicesSocialWatch1542004-2007,2008, 2009,2012

empowerment in theenvironmental sectorMeasure ofgenderequality asa multidimensional conceptDimensionGender based rightsand participationEcosystemGender basededucation and assetsGovernanceCountry reportedactivitiesLivelihoodWorkIndicatorIndicator sourceFunctional formProducerData for 27 indicators were compiledfrom national and internationalstatisticsSeven new data sets compiled by the EGI team andtwo new external data sets: UNFCCC, UNCCD, CBD,CEDAW, Agenda 21, WSSD, Rio 20, MDGs, CSW 2008,Fourth World Conference on Women 1995, as well asmain data sources from the World Bank, FAO, UNICEF,UNESCO, EPI, WHO, IPU, Freedom House, and nationalstatistics officesThe overall EGI score for eachcountry is based on theweighted averages of the sixcategories and scaled from 0to 100, where 100 stands forgender equalityGlobal GenderOffice ofInternationalUnion forConservation ofNature (IUCN)ParticipationSegregationQuality of workEurostat-EU LFSEurostat-EU LFSEurostat-EU LFS, Eurofound-European WorkingConditions SurveyEurostat-Structure of Earnings Survey, Eurostat-EUStatistics on Income and Living ConditionsEurostat-EU Statistics on Income and Living ConditionsEurostat-EU LFSThe overall Index iscomposed of 6 major domainindices and 12 sub-domainindices, all of them boundbetween [1,100], where 1stands for complete genderinequality, with any valueabove indicating aproportional increase ofgender equality, with fullgender equality at 100. TheEU-GEI provides lower levelsof compensability at subdomain and domain levelssince it relies on geometricmeans. In addition, because ituses equal weights andarithmetic aggregation at thelevel of variables, it allowshigher compensability withinsub-domains. At the domainlevel, the robustness analysisselects a combination ofweights that relies on thoseprovided by using theAnalytic Hierarchy Processwith the network of EIGE'sexperts (mean experts'weights). These weights areequally shared at sub-domainand indicator levelEuropeanInstitute forGenderEquality (EIGE)MoneyFinancial resourcesKnowledgeEconomic situationEducational iolenceSegregationEurostat-UNESCO/OECD/Eurostat (UOE)questionnaires on Educational StatisticsLifelong learningEurostat-EU LFSEconomic activities-Care activitiesEurofound-European Working Conditions SurveySocial activitiesEurofound-European Working Conditions SurveyPolitical powerEC-DG Justice-Women and Men in Decision MakingSocial power-Economic powerEC-DG Justice-Women and Men in Decision MakingStatusEurostat-EU Statistics on Income and Living Conditions,Eurostat-demographic statisticsBehavior-AccessEurostat-EU Statistics on Income and Living ConditionsPopulation groups in specific age,citizenship, disability, ethnicity, maritalstatus, religion, sexual orientation, andsocial classDiscrimination and other social groundsDirect violenceIndirect violenceEurostat-EU LFSFRA survey on violence against nnially,2013-2013-

Apart from the indices recorded in the table above, researchers in this area have proposed severalmethodologies to improve the measurement of gender equality in human development. White (1997)’sGender Equality Index and Forsythe et al. (2003)’s Gender Inequality are alterations of HDRs’ GDI.3 Dijkstraand Hammer (2000)’s Relative Status of Women Index tackles on three main dimensions: (1) ratio of thefemale and male index for education, (2) ratio of the female and male index for life expectancy, (3) relativefemale and male returns to labour. In a following work, Dijkstra (2002)’s Standardized Index o

gender indicators through a new initiatives such as the Evidence and Data for Gender Equality (EDGE) Initiative, a recent project executed jointly by the UN Statistics Division and the UN Women. The initiative resulted in a set of gender indicators on educ

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