As part of a global effort by the World Bank, LSMS is launching high-frequency phone surveys in Ethiopia, Malawi, Nigeria, Tanzania and Uganda to track national responses to COVID-19 and its socio-economic impactsRead More
Generating high-quality data, improving survey methods, and building capacity
A five-day training on “Measuring Consumption through Household Surveys” took place at Makerere University in Kampala, Uganda, in collaboration with the Center for Development Data of the World Bank. In attendance were 21 participants from national statistics offices and government ministries of Eswatini, Kenya, Lesotho, Malawi, Nigeria, South Sudan, Tanzania, and Uganda.Read More
Developed by the LSMS team together with the World Bank’s Social Development Global Practice, the guidebook offers guidance and a set of practical recommendations to survey practitioners on how to collect high-quality individual-level data on disabilities in household surveys.Read More
Gayatri Koolwal discusses issues and recommendations for measuring rural women’s employment in her new paper, using LSMS-ISA data from four countries.Read More
WB Working Paper
Individual-level employment data have a wide range of applications. They are used to monitor labor markets and the Sustainable Development Goals, contribute to understanding and explaining...
WB Working Paper
Improving the Measurement of Rural Women's Employment: Global Momentum and Survey Research Priorities
Rural economies are in transition around the world; in many countries, improved technology and linkages across sectors have expanded access to markets and accelerated production for some farmers. At...
In a joint project between the World Bank and the Institute for Fiscal Studies , researchers put model-based estimates of intrahousehold resource allocation to the test using data from Bangladesh , Malawi , and Tanzania .Read More
Alternative Methods to Produce Poverty Estimates: When Household Consumption Data Are Not Available (Part II)
In Part I of this blog, the authors discuss the question of how to monitor progress in reducing poverty when the poorest countries of the world are more likely to be missing data for poverty comparisons over time. Drawing from the paper, in this second part of the blog they offer a typology of missing data for poverty comparisons and describe the corresponding candidate imputation approaches for addressing the missing data problem.Read More
The Center for Development Data (C4D2) conducted its third training on Measuring Income and Wealth Through Household Surveys for Welfare Monitoring , from December 10 to 14, 2018. Participants included staff from the Eastern Africa Statistical Training Center, the École Nationale Supérieure de... Read more
The Fragility, Conflict, and Violence Cross Cutting Solutions Area (FCV CCSA) and the Development Data Group Survey Unit (DECSU) held the third of three planned workshops on “Measuring Violent Conflict in Household Surveys” in Perugia, Italy on 26-30 November 2018. These workshops are funded by the... Read more
The Fragility, Conflict, and Violence Cross Cutting Solutions Area (FCV CCSA) and the Development Data Group Survey Unit (DECSU) held the second of three planned workshops on “Measuring Violent Conflict in Household Surveys” in Perugia, Italy on 10-14 September 2018.These workshops are funded by... Read more