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 takes a fresh look at growth convergence in India, combining insights from macroeconomics and urban economics. It departs from the existing literature in three ways. First, the paper assesses growth patterns across districts and across places below the district level instead of taking...

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...

Policy makers in developing countries, including India, are increasingly sensitive to the links between spatial transformation and economic development. However, the empirical knowledge available on those links is most often insufficient to guide policy decisions. There is no shortage of case...

Using bilateral migration flow data from the 2010 population census of Nepal, this paper provides evidence on the importance of public infrastructure and services in determining migration flows. The empirical specification, based on a generalized nested logit model, corrects for the non-random...

Based on a comprehensive worldwide firm survey, this paper looks at how the business environment and economic agglomeration affect job creation, holding constant conventional determinants of firm growth, such as firm ownership, size, and age. The analysis finds that economic agglomeration is...