Now showing items 1-3 of 3
Exploring the Potential of Machine Learning for Automatic Slum Identification from VHE Imagery
Slum identification in urban settlements is a crucial step in the process of formulation of propoor policies. However, the use of conventional methods for slums detection such as field surveys may result time consuming and ...
The impact of taxes and social spending on inequality and poverty in Argentina, Bolivia, Brazil, Mexico and Peru: a synthesis of results
We apply a standard tax and benefit incidence analysis to estimate the impact on inequality and poverty of direct taxes, indirect taxes and subsidies, and social spending (cash and food transfers and in-kind transfers in ...
Poor Little Children: The Socioeconomic Gap in Parental Responses to School Disadvantage
In this paper, we study how parents react to a widely-used school policy that puts some children at a learning disadvantage. Specifically, we first document that, in line with findings in other countries, younger children ...