Recent studies harnessing geospatial big data and machine learning have significantly advanced poverty mapping, enabling granular and timely welfare estimates in traditionally datascarce regions. While much of the existing research has focused on overall out-of-sample predictive performance,...

Public rental housing (PRH) differs from general housing in its policy objectives and resident composition, as low-income households in PRH face financial constraints that limit their ability to afford high rents. In this context, this study assesses the spatial equity of PRH by comparing the...

The development of home ownership in the second half of the 20th century has been perceived as an asset and a significant contributor to wealth accumulation. However, rising property prices and increasingly stringent mortgage lending criteria have placed this model under pressure, particularly...

Levels of interpersonal income inequality in African countries are much higher than they were long assumed to be. The literature on politics in sub-Saharan Africa says little about the redistributive pressures arising from this, other than to argue that class politics is rarely observed in...

This paper explores the concepts and computational methods used to measure spatial inequality, emphasizing a reproducible approach that social scientists can apply to their research. The analysis focuses on geographic income disparities at the sub-national level, using Mexico as a case study. By...

This paper examines the evolution and determinants of skill-specific internal mobility among Italian citizens by urban-rural origin. Using administrative data from the Registry of Transfer of Residence (ADELE), which records the universe of skill-specific bilateral moves across more than 700...