I am a PhD Candidate in Economic Geography at the London School of Economics. My research primarily targets understanding the determinants of economic growth and development in Sub-Saharan Africa, with a focus on the interactions of geographical factors and political processes. In my recently completed project, I examine the spatial distribution of economic activity relative to the location of the capital city in Sub-Saharan Africa and investigate its underlying mechanisms. My current work aims at using deep learning to exploit the vast informational value of high resolution satellite imagery to track and understand the impact of natural resources on the dynamics of economic performance and urban change. In addition, I am working on various topics in urban economics such as the relationship between urban density and COVID-19 spread and severity. Overall, my work has a strong quantitative empirical emphasis and seeks to draw causal conclusion from quasi-experimental settings using extensive georeferenced data sources such as satellite imagery or geocoded surveys.
Prior to pursuing my PhD at LSE, I completed two Master’s Degrees in Economics (MSc, Stockholm School of Economics) and International Economic Policy (MSc, Sciences Po Paris) with distinction (“Cum Laude”) and a Bachelor’s Degree in Economics (BSc, Vienna University of Economics and Business) among the top 1% of students. During this time, I have also gained experience as an external data analyst at eXplain (formerly Liegey Muller Pons), as a research assistant intern at Deutsche Bundesbank in Frankfurt, as well as at CESifo Group Munich.
Provenzano, Sandro: Isolated and Poor: The Cost of Remoteness from the Capital City. LSE Geography and Environment Discussion Paper Series: Available here.
Provenzano, Sandro (joint with Felipe Carozzi and Sefi Roth) (2020): Urban Density and COVID-19. IZA Discussion paper: Available here; CEP Discussion paper: Available here.
Provenzano, Sandro (2017): The Empirics of Hidden Labor Force Dynamics in Germany. In: Journal of Economics and Statistics, Vol. 237(5): 373–406.
View Sandro's CV.
Prof Olmo Silva
Prof Felipe Carozzi