This study investigates the technical, allocative, and economic efficiency of maize farmers in Assosa Woreda, Ethiopia. Hence, the analysis utilizes a stochastic frontier Cobb-Douglas production function alongside a two-limit Tobit regression model. We conducted structured interviews with 203 household heads during the 2021/2022 production year. The findings indicate that the mean technical, allocative, and economic efficiency scores are 72.2%, 88.3%, and 63.8%, respectively, thereby denoting substantial inefficiencies. Consequently, factors such as the age and educational attainment of household heads, access to extension services and financing, cooperative membership, participation in training, market distance, livestock holdings, and mobile phone usage are determinants of efficiency. Therefore, policy recommendations entail encouraging youth engagement in agriculture, investing in foundational education, enhancing resource accessibility, refining the agricultural extension system, expanding financial access, organizing farmers into cooperatives, offering pertinent training, and fostering mobile networking.

Keywords: Technical Efficiency, Allocative Efficiency, Economic Efficiency, Cobb-Douglas Production Function, Stochastic Frontier Analysis