Survey Methods

The LSMS team has a longstanding emphasis on conducting methodological experiments toward improving the quality and efficiency of household survey data collection.

In recognition of the LSMS team's experience in the field, the UK Department for International Development provided the team with a grant to conduct methodological validation work in the area of agricultural productivity.

The team is also conducting a series of methodological experiments in other key topic areas such as income, consumption, and subjective welfare.

Methodological Experiments on Agricultural Data Collection

Methodological Experiments on Non-Agricultural Data Collection



Mapping the World Population One Building at A Time

High resolution datasets of population density which accurately map sparsely-distributed human populations do not exist at a global scale. Typically, population data is obtained using censuses and...


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

Training for Malawi’s 2019/20 Surveys Has Commenced!

Training for Malawi’s Fifth Integrated Household Survey (IHS5) 2019/20 and the Integrated Household Panel Survey (IHPS) 2019 has commenced! The Malawi National Statistical Office (NSO), in collaboration with the World Bank's Living Standards Measurement Study, will field the IHS5 from April 2019 to April 2020.Read More