Professor Joshua Merfeld has published a paper titled “Small Area Estimation of Monetary Poverty in Mexico Using Satellite Imagery and Machine Learning” in the Oxford Bulletin of Economics and Statistics. This study proposes a novel approach to estimating monetary poverty at a granular level using satellite imagery and machine learning techniques. By enhancing the precision of poverty measurement in data-scarce regions, the research provides valuable insights for data-driven policymaking in developing countries.

You can read the full paper at the link below:

https://onlinelibrary.wiley.com/doi/10.1111/obes.12678