Gender Inequality Index: Difference between revisions
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===Choice of variables=== |
===Choice of variables=== |
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The GII fails to capture the [[Informal sector|informal work]] and unpaid domestic or care work where women are primarily over-represented.In many underdeveloped societies women and girls spend the majority of their time in domestic work whereas men and boys spend far less if any.<ref name="dinhvutrangngan" /> The lack of capturing the time women spend in unpaid labor is insufficient in capturing the true global disparities of women.<ref name="ccee" /> |
The GII fails to capture the [[Informal sector|informal work]] and [[Feminist economics:Unpaid work|unpaid domestic or care work]] where women are primarily over-represented.In many underdeveloped societies women and girls spend the majority of their time in domestic work whereas men and boys spend far less, if any.<ref name="dinhvutrangngan" /> The lack of capturing the time women spend in unpaid labor is insufficient in capturing the true global disparities of women.<ref name="ccee" /> |
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==See also== |
==See also== |
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Revision as of 06:04, 1 May 2012
The Gender Inequality Index (GII) was introduced in the 2010 Human Development Report 20th anniversary edition by the United Nations Development Programme (UNDP). This index is a composite measure to capture the loss of achievement due to gender inequality and uses three dimensions: reproductive health, empowerment, and labour market participation. It was introduced as an experimental measure to remedy the shortcomings of the previous indicators the Gender Development Index (GDI) and the Gender Empowerment Measure (GEM) both of which were introduced in the 1995 Human Development Report.
Origins
The Gender-related Development Index (GDI) and the Gender Empowerment Measure (GEM) were introduced in the 1995 Human Development Report with growing international recognition of the importance of eliminating gender inequality. The GDI and GEM became the primary indicators for measuring global gender inequality for the Human Development Reports. The GDI and GEM faced much criticism for their methodological and conceptual limitations.[1][2] Critics argued that the GDI could not accurately measure gender inequality because its components are related to the Human Development Index (HDI), a composite measure of human development used by the UNDP.[3] Thus the difference between the HDI and GDI were small leading to the implication that gender disparities were irrelevant to human development. Also, with both the GDI and GEM, income levels had a tendency to dominate the earned income component, which resulted in countries with low income levels not being able to get high scores, even in cases where their levels of gender inequality may have been low. The GEM indicators proved to be more relevant to developed countries than underdeveloped countries. The participants of the World Economic Forum in 2007, among others, recognized that the advancement of women was a significant issue that impacted the growth of nations.[4] Given the amount of criticism the GDI and GEM were facing, many felt that they did not fully capture the disparities women faced. In an attempt to reform the GDI and GEM, the UNDP introduced the Gender Inequality Index (GII) in the 2010 Human Development Report.[3] The new index is a composite measure which captures the loss of achievement due to gender inequality using three dimensions: reproductive health, empowerment, and labor market participation. The GII does not income income levels as a component, which was one of the most controversial components of the GDI and GEM. It also does not allow for high achievements in one dimension to compensate for low achievement in another.[3]
Dimensions
The GII contains three dimension: reproductive health, empowerment, and labour market participation.
Reproductive health
The GII is a pioneering effort in that it is the first index to include reproductive health indicators for measuring gender inequality.[2] The reproductive health dimension is measured by two indicators: the Maternal Mortality Ratio (MMR) and the adolescent fertility rate, the data for which come from UNICEF's State of the World's Children, (AFR) which is obtained through the UN Department of Economic and Social Affairs, respectively. A high adolescent fertility rate (AFR), which measures early childbearing, results in health risks for mothers and infants as well as a lack of higher education attainment. The GII has shown that reproductive health is the largest contributor to gender inequality across the globe.[5]
Empowerment
The empowerment dimension is measured by two indicators: the share of parliamentary seats held by each sex, which is obtained from the International Parliamentary Union, and higher education attainment levels, which is obtained through United Nations Educational, Scientific and Cultural Organization(UNESCO) and Barro-Lee data sets.[6] The GII index of higher education evaluates women's attainment to secondary education and above. Access to higher education expands women's freedom by increasing their ability to question and increases their access to information which expands their public involvement.[5] There is much literature that finds women's access to education may reduce the AFR and child mortality rates within a country.[4][7] Due to data limitations the parliament representation indicator is limited to national parliament and excludes local government or other community involvement. Although women's representation in parliament has been increasing women have been disadvantaged in representation of parliament with a global average of only 16%.[5]
Labour market participation
The labour market dimension is measured by women's participation in the workforce. The data for this dimension is obtained through the International Labour Organization databases. Due to data limitations women's income and unpaid work are not represented in the labour market dimension of GII.[6] In the absence of reliable earned income data across countries, labor market participation is considered a suitable substitute for economic aspects of gender inequality.[1]
Calculations
The metrics of the GII are similar in calculations to the Inequality-adjusted Human Development Index (IHDI), which was also introduced in the 2010 Human Development Report, and can be interpreted as a percentage loss of human development due to shortcomings in the included dimensions. The value of GII range between 0 to 1, with 0 indicating women fare equally in comparison to men and 1 indicating women fare poorly in comparison to men. The GII is an association-sensitive[8] complex composite measurement used to measure the loss of development through gender inequality within a country.[5] The GII measures inequalities by addressing the shortcomings of other measures through aggregate strategy using multiple correspondence analysis (MCA) in order to avoid aggregation problems.[4] There are five steps to computing the gender inequality Index.[5]
Step 1: Treating zeros and extreme values: The maternal mortality rate is truncated systematically at minimum of 10 and maximum of 1,000. The maximum and minimum is based on the normative assumption that all countries with maternal mortality ratio's above 1,000 do not differ in their ability to support for maternal health as well as the assumption that all countries below 10 do not differ in their abilities. Countries with parliamentary representation reporting at 0 are counted as 0.1 because of the assumption that women some level of political influence and that the geometric mean can not have a 0 value.
Step 2: Aggregating across dimensions within each gender group, using geometric means: Aggregating across dimensions for each gender group by the geometric mean makes the GII association sensitive.[5] The maternal mortality rate and the adolescent fertility rate are only relevant for females the males are only aggregated with the other two dimensions.
Step 3: Aggregating across gender groups, using a harmonic mean: To compute the equally distributed gender index the female and male indices are aggregated by the harmonic mean of the geometric means to capture the inequality between females and males and adjust for association between dimensions.
Step 4: Calculating the geometric mean of the arithmetic means for each indicator: Obtain the reference standard by aggregating female and male indices with equal weight and then aggregating indices across dimensions.
note: reproductive health is not an average of female and male indices but half the distance from the norms established
Step 5: Calculating the Gender Inequality Index: To compute the GII compare the equally distributed gender index from Step 3 to the reference standard from Step 4.
Changes in 2011 calculations
According to the UNDP there was a minor calculation change to the 2011 Gender Inequality Index from the 2010 index used. The maternal mortality ratio was calculated in the Gender Inequality Index at 10 even though the range of GII values should be between 0 and 1. To correct this the maternal mortality ratio is normalized by 10, which generally reduced the values of the GII. A trend for the GII has been calculated and can be found on the Human Development Reports website.
Loss Due to Gender Inequality
As there is no country with perfect gender equality all countries suffer some loss of human development due to gender inequality. The difference in dimensions used in the GII and HDI means that the GII can not be interpreted as a loss of HDI directly but has its own rank and value separate from the HDI.[3] The GII is interpreted as a percentage and indicates the percentage of potential human development lost due to gender inequality. The world average GII score in 2011 was 0.492 which indicates a 42.9% loss due to gender inequality.[6] Due to the limitations of data and data quality the 2010 Human Development Report calculated GII rankings of 138 countries for the year 2008. The 2011 Human Development Report was able to calculate the GII rankings of 146 countries for the reporting year 2011.[9]
Top Ten Countries
The ten highest ranked countries in terms of gender equality according to the GII for 2008[5] and 2011.[9]
| Country | GII Rank 2011 | GII Value 2011 | HDI Rank 2011 | GII Rank 2008 | GII Value 2008 |
|---|---|---|---|---|---|
| Sweden | 1 | 0.049 | 10 | 3 | 0.212 |
| Netherlands | 2 | 0.052 | 3 | 1 | 0.174 |
| Denmark | 3 | 0.060 | 16 | 2 | 0.209 |
| Switzerland | 4 | 0.067 | 11 | 4 | 0.228 |
| Finland | 5 | 0.075 | 22 | 8 | 0.248 |
| Norway | 6 | 0.075 | 1 | 5 | 0.234 |
| Germany | 7 | 0.085 | 9 | 7 | 0.240 |
| Singapore | 8 | 0.086 | 26 | 10 | 0.255 |
| Iceland | 9 | 0.099 | 14 | 13 | 0.279 |
| France | 10 | 0.106 | 20 | 11 | 0.260 |
Bottom Ten Countries
The ten lowest ranked countries in terms of gender equality according to the GII for 2008[5] and 2011.[9]
| Country | GII Rank 2011 | GII Value 2011 | HDI Rank 2011 | GII Rank 2008 | GII Value 2008 |
|---|---|---|---|---|---|
| Yemen | 146 | 0.769 | 154 | 138 | 0.853 |
| Chad | 145 | 0.735 | 183 | -- | -- |
| Niger | 144 | 0.724 | 186 | 136 | 0.807 |
| Mali | 143 | 0.712 | 175 | 135 | 0.799 |
| Congo | 142 | 0.710 | 187 | 137 | 0.814 |
| Afghanistan | 141 | 0.717 | 172 | 134 | 0.797 |
| Papua New Guinea | 140 | 0.674 | 153 | -- | -- |
| Liberia | 139 | 0.671 | 182 | 131 | 0.766 |
| Central African Republic | 138 | 0.669 | 179 | 132 | 0.768 |
| Sierra Leone | 137 | 0.662 | 180 | 125 | 0.756 |
Critique
There are some criticisms to the UNDP's Gender Inequality Index (GII) as a measurement of gender inequality globally. Some argue that the GII inadequately captures gender inequality and leaves out important aspects or includes unnecessary indices. The GII is a complex indicator with many components that are difficult for some to interpret or calculate.
Complexity
Some argue that the complexity of the GII will make it difficult to interpret or understand for the professionals who would likely want to make use of it because so many non-linear procedures are applied to the data.[2][10] Simplicity is required in order for analysts, policy-makers, or practitioners to convey a clear message to the general public.[2] The GII is meant to represent a loss of human development, but the standard against which the losses are measured is not stated anywhere, unlike the GDI where the losses were measured against the HDI, making the HDI represent perfect equality.[10] The UNDP explains that the complexity of the calculations are needed in order to maintain an association-sensitive measure, but alternative indices that are much less complex have also shown to be association sensitive.[2]
Mix of indices
The GII mixes indices in a few ways which furthers the complexity and poses other issues.[2][10] The measurement combines well-being and empowerment which becomes problematic in that it increases the complexity, lacks transparency, and suffers from the problem of using an arithmetic means of ratios. The GII also combines two different, absolute and relative, indicators within the same formula. For example if the MMR is higher than 10 per 100,000 it is considered inequality. Yet, parliamentary representation is only considered inequality if there is a deviation from 50 percent. Therefore if women and men fare equally in all dimensions the GII would not equal a zero value as it should.[11]
Regional relevance
The GII has been criticized on whether or not its assessment of gender inequality and use of the same set of indicators are equally relevant or meaningful across all regions of the Globe. For less-developed countries the use of the MMR and AFR in the dimension of reproductive health may be penalizing although the loss may not be entirely explained by gender inequality.[2] Less-developed countries performance in the reproductive health dimension may differ regionally or locally. Access to or use of health services can be influenced by socio-economic levels, public health policies, or social and cultural practices. In developed countries, specifically European countires, gender inequality levels are not very "robust to alternative specifications of gender-related indicators" and analysts and policy makers may choose specific methods to yield desired results.[2]
Choice of variables
The GII fails to capture the informal work and unpaid domestic or care work where women are primarily over-represented.In many underdeveloped societies women and girls spend the majority of their time in domestic work whereas men and boys spend far less, if any.[7] The lack of capturing the time women spend in unpaid labor is insufficient in capturing the true global disparities of women.[10]
See also
- Human Development Index
- United Nations Development Programme
- Gender Development Index
- Gender Empowerment Measure
- Human Development Report
- Human Development
- Multiple Correspondence Analysis
References
- ^ a b Bardhan and Klasen, UNDP's Gender-Related Indices: A Critical Review, World Development, 27:6, 1999
- ^ a b c d e f g h Permanyer, Are UNDP Indices Appropriate to Capture Gender Inequalities in Europe?, Springer Science+Business Media, 2011
- ^ a b c d United Nations Development Programme,Gender Inequality Index FAQ, 2011
- ^ a b c Ferrant, The Gender Inequalities Index (GII) as a New Way to Measure Gender Inequalities in Developing Countries, Maison des Sciences Économiques, 2010
- ^ a b c d e f g h United Nations Development Programme, Human Development Report 2010; The Real Wealth of Nations, 2010
- ^ a b c United Nations Development Programme, Gender Inequality Index FAQ's, 2011
- ^ a b Hill and King, Women's Education and Economic Well-Being, Feminist Economics, 1995
- ^ ("[A]n 'association sensitive gender inequality index' can be thought as an index that is responsive to those distributional changes that end up benefiting one gender over the other in all indicators at the same time." Permanyer,Are UNDP Indices Appropriate to Capture Gender Inequalities in Europe?, 2011)
- ^ a b c United Nations Development Programme, Human Development Report 2011; Sustainability and Equity, 2011
- ^ a b c d Klasen and Schüler,Reforming the Gender-Related Development Index and the Gender Empowerment Measure: Implementing Some Specific Proposals, Feminist Economics, 17:1, 2011.
- ^ ("Consider a hypothetical country with PRf = PRm, SEf = SEm, LFPRf = LFPRm and with the lowest MMR and AFR observed in the sample of countries for which data is available (MMR = 10, AFR = 3.8). In that case, that hypothetical country would have a GII value well above 0 (GII aprx 0.15)", Permanyer,Are UNDP Indices Appropriate to Capture Gender Inequalities in Europe?,2011)