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Pages

portfolio

publications

Using publicly available satellite imagery and deep learning to understand economic well-being in Africa

Published in Nature Communications, 2020

We combine deep learning with public daytime and nighttime satellite imagery to predict local asset wealth across sub-Saharan Africa. Trained on survey-based wealth measures, the models are evaluated on unseen locations and on changes in wealth over time.

Recommended citation: Yeh, C., Perez, A., Driscoll, A. et al. Using publicly available satellite imagery and deep learning to understand economic well-being in Africa. Nat Commun 11, 2583 (2020). https://www.nature.com/articles/s41467-020-16185-w

A New Perspective on Spatial Heterogeneity in African Development

Published in AEA Papers and Proceedings, 2026

We combine satellite imagery and survey data to map infrastructure access across Africa using machine learning. We then use spatial regression discontinuity to estimate the impact of national institutions on infrastructure access.

Recommended citation: Dupas, Pascaline, Nicolas Suarez, and Zhongyi Tang. 2026. A New Perspective on Spatial Heterogeneity in African Development. AEA Papers and Proceedings 116: 167–172. https://www.aeaweb.org/articles?id=10.1257/pandp.20261090

talks

teaching

EC 204 Empirical Economics 2

Undergraduate course, Boston University, Department of Economics, 2026

Second semester of a two-semester sequence of empirical techniques used in economic analysis