引入无效率溢出的空间随机前沿模型

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Federica Galli
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引用次数: 0

摘要

本文建立了面板数据的空间Durbin随机前沿模型,引入了技术效率决定因素(SDF-STE)的溢出效应。该模型嵌套了几种现有的空间和非空间随机前沿规范,并使用最大似然技术进行估计。即使对于小样本量和实现不同蒙特卡罗模拟的空间权重矩阵的替代规范,估计也显示为无偏的。最后,提供了意大利住宿部门的申请。实证结果表明,SDF-STE模型在捕捉劳动生产率和知识溢出效应方面具有相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A spatial stochastic frontier model introducing inefficiency spillovers
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.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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