Abstract

Benaissa Chidmi , Daniel Solís and Victor E. Cabrera

An unbalanced panel data including 1,151 farm observations from 2004 to 2008 was used to analyze the determinants of technical efficiency (TE) for dairy farms in the State of Wisconsin. To account for farm heterogeneity in our analysis we implemented a two-step framework using a stochastic production frontier and a quantile regression analysis. The results show that the determinants of TE affected farmers with different levels of TE in a very specific ways. This outcome is of significant importance from an empirical point of view. Farmers could use this knowledge to find alternatives to improve their specific level of performance. Additionally, Policy makers could use this information to improve the effectiveness of their policies by targeting specific agricultural services and aid to group of farmers with similar levels of TE.