Estimation of Production Behavior Using Pooled Microdata
利用合并的微观数据建模木材工业的生产行为，强调工厂层面产能利用率的作用，估计产品供给和要素需求，结果比基于加总数据的研究更合理。
Lumber industry production behavior is modeled using pooled microdata. Explicit recognition of the crucial role of capacity utilization at the mill level is used to generate information concerning product supply and factor demands. To exploit optimally the panel structure of the data base, fixed effects and error components models are estimated, along with the ordinary least squares model. Results for key elasticities are robust and highly significant. Furthermore, the results are more plausible than those from previous studies that rely on aggregate data and flexible functional forms. Copyright 1990 by MIT Press.