Routine immunization coverage estimated in surveys often substantially differs from figures reported in administrative records, presenting a dilemma for researchers and policy makers. Using high-frequency phone surveys and administrative records from government sources in 36 low- and...

Based on a randomized survey experiment in Malawi, this study examines how innovative techniques in time use data collection could sidestep measurement concerns with traditional recall-based time use measurement. The experiment assigns random samples of households, and adult men and women...

This study uses a unique panel dataset that spans a 20-year period (1985-2005), and estimates the effect of household non-traditional agricultural export (NTX) adoption on changes in livelihood orientation and participation in non-farm employment in Santiago Sacatepéquez municipality of...

This study is the first to document the long-term welfare effects of household non-traditional agricultural export (NTX) adoption. We use a unique panel dataset, which spans the period of 1985-2005, and employ difference-in-differences estimation to investigate the long-term impact of NTX...

Survey data on household consumption are often unavailable or incomparable over time in many low- and middle-income countries. Based on a unique randomized survey experiment implemented in Tanzania, this study offers new and rigorous evidence demonstrating that survey-to-survey imputation can...

Household consumption data are often unavailable, not fully collected, or incomparable over time in poorer countries. Survey-to-survey imputation has been increasingly employed to address these data gaps for poverty measurement, but its effective use requires standardized protocols. We refine...

Household consumption data are often unavailable, not fully collected, or incomparable over time in poorer countries. Survey-to-survey imputation has been increasingly employed to address these data gaps for poverty measurement, but its effective use requires standardized protocols. We refine...