This paper proposes a methodology for identifying urban areas that combines subjective assessments with machine learning, and applies it to India, a country where several studies see the official urbanization rate as an under-estimate. For a representative sample of cities, towns and villages,...

This paper develops a tractable method to identify urban areas and applies it to India, where urbanization is messy. Google Earth images are assessed subjectively to determine whether a stratified large sample of Indian cities, towns and villages, as officially defined, are urban or rural in...

The conventional wisdom on firm dynamics, productivity growth, and job creation in developing countries is based on data that, by design, excludes a vast number of micro- and small enterprises, many of which are informal. Some may not view this exclusion as an issue, on the grounds that the...