Development economists use household survey data to measure living standards across the world, but reliable data for cities in the global south is hard to come by. This article addresses three challenges to collecting data in cities – measurement, missing people, and money – as well as steps that can be taken in the design, implementation, and analysis of survey data to try and address them.
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