A spatial stochastic frontier model introducing inefficiency spillovers
本文开发了一个空间杜宾随机前沿模型，用于面板数据中技术效率决定因素的溢出效应分析，并通过蒙特卡洛模拟和意大利住宿业数据验证了模型的有效性。
Abstract This paper develops a spatial Durbin stochastic frontier model for panel data introducing spillover effects in the determinants of technical efficiency (SDF-STE). The model nests several existing spatial and non-spatial stochastic frontier specifications and is estimated using maximum-likelihood techniques. Estimates are shown to be unbiased even for small sample sizes and for alternative specifications of the spatial weight matrix implementing different Monte Carlo simulations. Finally, an application to the Italian accommodation sector is provided. Empirical findings suggest the relevance of the SDF-STE model in capturing labour productivity and knowledge spillover effects.