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ESA/STAT/AC.219/15 Survey Analysis for Gender Indicators

This document explores the rationale, modalities, issues, and challenges in survey analysis for gender indicators, with a focus on the World Bank's approach. It also highlights key gender employment indicators and steps to address challenges in producing gender statistics.

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ESA/STAT/AC.219/15 Survey Analysis for Gender Indicators

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  1. ESA/STAT/AC.219/15Survey Analysis for Gender Indicators Sulekha Patel Development Data Group World Bank Manila October 11, 2010 ESA/STAT/AC.219/15

  2. Rationale for Bank’s Gender Analysis • Gender equity and women’s well-being is essential to achieving the Bank’s mission of poverty reduction • IDA 16 Deputies have made gender a “special theme”; established a new results framework for monitoring progress towards gender mainstreaming

  3. Modalities of Survey Analysis • Bank-led analysis • Surveys housed in the International Household Survey Network • Household Budget Surveys, Living Standards Measurement Surveys • Bank-sponsored analysis: • Luxembourg Income Study • Demographic and Health Surveys • MICS

  4. Bank-led Analyses: Issues and Challenges for generating gender indicators • Data consistency and cross-country comparisons • Absence of longitudinal data and time-series for trend analysis and inferences • Differences and variations in methodology • Sensitivity of indicators and response to short-term changes • Excessive reliance on external financing and related challenges to sustainability in production of gender statistics

  5. Bank-led Analysis • To extract gender profiles, data estimated at the individual level • Standardized consumption expenditure • Poverty line used in analysis consistent with the Bank’s international headcount ratio ($1.25/day in 2005 prices) • Estimates are representative of national population

  6. Types of Output • Cross sectional tables • By demography (age and sex) • By national and urban/ rural area • By poor/non-poor • Examples of topics • Health • Education • Time use • Savings • Child care

  7. Time Use: Water collectionHave you spent any time in the last 7 days fetching water for the household? How many hours in the last 7 days did you spend fetching water including travel time? Ghana 1998

  8. Savings Account • Ghana 1998 • Does any member of the household have a savings account in cedis or participate in Susu? In whose name is the account?

  9. Loans • Ghana 1998 • Which household member obtained the loan?

  10. Sponsored analysis: Key Gender Employment Indicators • A joint collaboration between the Gender and Development Group of the World Bank (PRMGE) and the Luxembourg Income Study (LIS) • Covers 27 OECD and middle income countries • Consists of a set of national-level indicators that highlight women’s economic outcomes and gender inequality in poverty and employment.

  11. Key Gender Employment Indicators Includes gender-disaggregated statistics on: • Rate of household poverty; • Employment rates; • Characteristics of the employed population; • Characteristics of the not employed; • Average weekly hours worked by the employed; and • Female/male earnings ratios for the employed and for full-time workers; • Characteristics of the youth population (age 16 to 19).

  12. Key Gender Employment IndicatorsWhat do these data tell us? The gender earnings ratio(Female/Male Earnings Ratios)

  13. Preliminary steps to address challenges in producing gender indicators • Capacity building for national statistical offices • Development of new surveys for rapid monitoring • Development of new targeted surveys for panel analysis • Coordinating the process leading to the harmonization of existing methodologies around the new result framework

  14. Thank you

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