ESA/STAT/AC.219/15

Survey Analysis for Gender Indicators

Sulekha Patel Development Data Group World Bank Manila October 11, 2010 ESA/STAT/AC.219/15

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

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

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

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

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

Time Use: Water collection Have 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

•

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?

•

Loans

Ghana 1998 – Which household member obtained the loan?

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.

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).

Key Gender Employment Indicators

What do these data tell us?

The gender earnings ratio (Female/Male Earnings Ratios)

0,4 0,3 0,2 0,1 0,0 1,0 0,9 0,8 0,7 0,6 0,5

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

Thank you