Consumption or income, valued at prevailing market prices, is the workhorse metric of economic welfare – poverty is almost universally defined in these terms. In low- and middle-income countries these measures of household resource availability are typically assessed through household surveys. Yet the global diversity in survey approaches is vast, with little rigorous evidence concerning which particular approach yields the most accurate resource estimate. (Indeed there may be no one approach that best suits every context – more on this below.)
With this question in mind, Kathleen Beegle, Joachim DeWeerdt, John Gibson, and I conducted a survey measurement experiment in Tanzania that randomized common survey approaches to consumption measurement across a representative sample of households in Tanzania. Previous papers have explored the relative performance of the approaches in terms of mean consumption, inequality, poverty, and the prevalence of hunger (see these papers here, here, and here). Our new working paper seeks to push this data further to understand the nature of the reporting errors that underlie the mean estimates.