The importance of Total Factor Productivity (TFP) in explaining output changes is widely accepted, yet its sources are not well understood. We use a proprietary data set on the floor-level operations at the Bhilai Rail and Structural Mill (RSM) in India to understand the determinants of changes...

This paper makes an attempt to incorporate benets from unpaid public services into consumption decisions to arrive at more accurate measures of poverty and inequality. The analysis is based on primary data collected from 40 villages in Bihar in 2012. Three types of public services are...

This paper examines the extent to which income differences across the racial groups can account for observed residential segregation. The authors adopt an approach to the decomposition of segregation measures that combines the method of indirect standardization with the idea that some degree of...

The Indian states have been the standard unit of analysis for research on India that uses official data sources. For many empirical questions, states are a natural starting point because state governments set political agendas and budgets and administer a wide range of services. In addition, the...

In this paper they show how an optimization algorithm can be used to approximately quantify the costs to users of spatial misallocation in centrally provided public goods. This method can be employed to evaluate the large programs of public good construction that have been central features of...