Abdoul G. Sam

Abdoul G. Sam's work applies economic and statistical methods, including machine learning approaches like causal forests, to questions in agricultural economics, development, and environmental/corporate sustainability. Recurring topics include agricultural risk management (such as index insurance and credit access in Africa), technology adoption, corporate environmental practices (like ISO 14001 certification), and household welfare in the context of climate change. This research combines applied microeconomics with data-driven methods to study markets, policy interventions, and consumer or firm behavior.

Publication output has declined from about 10 papers per year in 2017-2018 to roughly 2 per year in recent years, suggesting a slowing pace of output over the last decade.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026