Ani L. Katchova

Ani L. Katchova studies agricultural finance and economics, focusing on topics like farm lending, agricultural bank mergers, government payment programs, and the accuracy of USDA and OECD-FAO agricultural forecasts and baseline projections. Her work often uses statistical and machine-learning methods to evaluate credit markets, commodity price forecasting, and policy effects on farms and rural lenders. This research would suit students interested in applied economics, agricultural credit systems, and forecast evaluation methods.

Publication output was higher and more variable in the earlier part of the decade (e.g., 12-14 papers in 2018 and 2020) but has settled into a steadier, lower pace of about 3-4 papers per year since 2021.

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