This paper presents a new family of Stata functions devoted to small area estimation. Small area methods attempt to solve low representativeness of surveys within areas, or the lack of data for specific areas/sub-populations. This is accomplished by incorporating information from outside...

Boosting convergence and shared prosperity in the European Union achieved renewed urgency after the global financial crisis of 2008. This paper assesses the role of agriculture and the Common Agricultural Program in achieving this. The paper sheds light on the relationship between poverty and...

Tanzania is home to the third highest population of stunted children in Sub-Saharan Africa, with about 2.7 million children under the age of five failing to reach their full potential of growth attainment compared with the reference population as per the World Health Organization standards....

This paper exploits a novel municipal-level data set to explore patterns of convergence in income and poverty in Mexico during 1992-2014. The paper finds that, despite a context of overall stagnant economic growth and poverty reduction, there is evidence of income and poverty convergence at the...

After almost two decades of poverty maps produced by the World Bank and multiple advances in the literature, this paper presents a methodological update to the World Bank's toolkit for small area estimation. The paper reviews the computational procedures of the current methods used by the World...

China has quickly become the largest e-commerce market in the world. By matching a nationally representative China Family Panel Studies survey with county-level e-commerce information obtained from Alibaba, this paper examines how e-commerce development has shaped household consumption growth in...

Small area poverty maps allow for the design of policies based on spatial differences in welfare. They are typically estimated based on a consumption survey reporting on poverty and a census providing the spatial disaggregation. This paper presents a new method which allows for the estimation of...

This paper argues for night-lights data as an alternative data source for measuring spatial inequalities in Africa, where the paucity of subnational income data is persistent. The analysis compares the statistical relationships between income and lights-based measures of spatial income...

This paper investigates the relationship between location, agglomeration, access to credit, informality, and productivity across cities and industries in Cameroon. Emphasizing the link between micro-foundations and the data, the paper develops and estimates a structural model of occupational...

This paper explores the relationship between key economic and institutional attributes of Tunisian governorates and their ability to attract foreign direct investment inflows. A dynamic generalized method of moments and spatial autoregressive approaches are used to estimate a model of regional...