Estimating Farm Productivity Differentials using Panel Data: The Hausman‐Taylor Approach
针对荷兰专业养猪场，开发了豪斯曼-泰勒面板数据估计器，分析不可观测的生产率与其他生产要素的关系，发现高生产率农场拥有更多建筑和机械。
This paper investigates the relation between unobserved farm productivity and other production factors in a system of netput equations for specialised pig breeding farms in the Netherlands. In order to estimate the system, a Hausman‐Taylor panel data estimator is developed for a system of equations with unbalanced panel data. Tests on the correlation between model variables and farm‐effects are performed, yielding an insight into the sources of differences in total factor productivity and its components (e.g. managerial ability and scale economies). Results indicate that specialised pig breeding farms that are characterised by high total factor productivity have more buildings and machinery than farms with low total factor productivity.