Using ADePT for Gender Analysis

1. Using ADePT for Gender Analysis Gender and Development Group World Bank PREM Learning Week 2011 April 20, 2011

2. Context and Relevance • Persistent gender inequality constrains economic growth • World Bank committed do address gender in its work • This generates greater demand for gender statistics • Poverty, Social and Gender Assessments • Project, Design, Implementation and Monitoring of Impacts • Country Assistance Strategies (CASs) • Millennium Development Goals (MDGs) • MDG3 – Promote Gender Equality and empower women • Monitoring – overtime and across countries

3. Context and Relevance • Great need to produce relevant gender statistics • BUT resources and knowledge is limited. • Many of the statistics necessary to inform gender issues in PAs, GAs, CASs, CEMs are standard. • Ability to generate timely output is key to • Monitor outcomes (overtime and across countries), and • Identify the right set of policies to influence those outcomes.

4. Illustration from Mozambique(Integrated Poverty, Social and Gender Assessment, 2007) Table 2.6: Net Primary School Enrollment, by Sex and Expenditure Quintiles, 1997 and 2003 (percent) • Source: Mozambique IAF 1997 and 2003

5. Why ADePT?(Automated DEC Poverty Tables) • ADePT automates the production of Tables/graphs • Requires limited knowledge of Stata or SPSS • User only needs to prepare the dataset • More people can do the work! • Runs without Stata/SPSS in the user’s computer • Minimizes human error in programming • Generates standardized, comparable results across countries and years • Frees up resources for analysis … interpretation and policy implications

6. From Data to Statistical Reports User micro-level data: LSMS … ADePT Gender Database with the necessary variables prepared by the user Inside ADePT: User Computational interface kernel (Stata) Print-ready output

7. ADePT Gender • ADePT Gender is one of 7 ADePT Modules • Objectives of ADePT Gender • Facilitate understanding of the gender dimensions of poverty • Make gender analysis standard practice in poverty diagnostics • Facilitate analysis of the vulnerabilities faced by women, both poor and non-poor, across various dimensions • What is covered in ADePT Gender? • Gender Dimensions of Poverty • Gender Dimensions of Labor Market Outcomes

8. I. Gender dimensions of Poverty • Poverty by Headship • Poverty (headcount, depth and severity) by head’s sex and age • Poverty Headcount by head’s sex and level of education • Poverty Headcount by head’s sex and sector of economic activity • Poverty Headcount by head’s sex and employment status • Education and Literacy • Literacy rates by sex and area of residence (urban/rural) by poverty status • Primary and secondary enrolment rates by sex by urban/rural by poverty status • Primary and secondary completion rates by sex by urban/rural by poverty status • Total years of education by sex by urban/rural by poverty status 3. Utilization of Services • Expenditure quintiles’ shares of education enrolment by urban/rural • Expenditure quintiles’ shares of use of health services and immunization by urban/rural

9. II. Gender Dimensions of Labor Market Outcomes • Labor Force Participation • Labor force participation rates and employment status for males and females • For working age population (15-64 years), (20-24 years) and (25-49) • By Rural/Urban • Characteristics of employment • Employment type distribution for male and female workers (across categories) by poverty status • Employment type shares of male and female workers (within categories) by poverty status • Distribution of the employed males and females across sectors of economic activity • Earnings • Median and Mean earnings and hours worked by sex and employment categories • Employment type • Sector of economic activity • Formal vs. Informal • Full-time vs. part-time

10. Sex versus Gender Source: Quisumbing, 1996.

11. Thank You!

12. NOW COMES THE REAL THING !!!!