Estimating State‐Contingent Production Frontiers
提出在有限混合模型框架下估计固定和随机效应的状态依存生产前沿，解决了该方法在政策制定中因估计困难而受限的问题。实证表明，与传统方法相比，状态依存框架下的弹性、技术效率等估计结果显著不同。
Chambers and Quiggin (2000) use state‐contingent representations of risky production technologies to establish important theoretical results concerning producer behavior under uncertainty. Unfortunately, perceived problems in the estimation of state‐contingent models have limited the usefulness of the approach in policy formulation. We show that fixed and random effects state‐contingent production frontiers can be conveniently estimated in a finite mixtures framework. An empirical example is provided. Compared to conventional estimation approaches, we find that estimating production frontiers in a state‐contingent framework produces significantly different estimates of elasticities, firm technical efficiencies, and other quantities of economic interest.