We propose a quasi-Bayesian method to conduct inference for the production frontier. This approach combines multiple first-stage extreme quantile estimates by the quasi-Bayesian method to produce the point estimate and confidence interval for the production frontier. We show the asymptotic properties of the proposed estimator and the validity of the inference procedure. The finite sample performance of our method is illustrated through simulations and an empirical application.
翻译:我们建议了一种准巴伊斯法,用于对生产前沿进行推断,这一方法结合了以准巴伊斯法计算生产前沿点估计和置信间隔的多个第一阶段极端微量估计,显示了拟议估计值的无症状特性和推断程序的有效性,通过模拟和实证应用来说明我们方法的有限样本性能。