A command to fit spatial stochastic frontier models with inefficiency spillovers

被引:0
|
作者
Du, Kerui [1 ]
Galli, Federica [2 ]
Wang, Luojia [1 ]
机构
[1] Xiamen Univ, Sch Management, Xiamen, Peoples R China
[2] Univ Bologna, Dept Stat Sci Paolo Fortunati, Bologna, Italy
来源
STATA JOURNAL | 2025年 / 25卷 / 01期
基金
中国国家自然科学基金;
关键词
st0771; sfsd; spatial stochastic frontier models; spillover effects; technical efficiency; inefficiency spillovers; PANEL-DATA; CLUSTERS;
D O I
10.1177/1536867X251322970
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
The interdependence among decision-making units challenges the assumption of cross-sectional independence in traditional stochastic frontier models. Based on the seminal spatial Durbin specification for the frontier function, Galli (2023, Journal of the Royal Statistical Society, C ser., 72: 346-367) introduced inefficiency spillovers to measure neighborhood effects related to the inefficiency determinants. This article presents a new command, sfsd, that fits the comprehensive spatial stochastic frontier model that Galli (2023) proposed, accommodating various spatial and nonspatial specifications in both the frontier and the inefficiency equations. sfsd is the first command that includes different typologies of spatial spillovers in a stochastic frontier framework, facilitating the investigation of contemporary research topics such as agglomeration and technology diffusion at both the firm and the regional levels. The description, options, and illustrative examples for the command are outlined in this article.
引用
收藏
页码:189 / 211
页数:23
相关论文
共 50 条
  • [1] A spatial stochastic frontier model introducing inefficiency spillovers
    Galli, Federica
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2023, 72 (02) : 346 - 367
  • [2] Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency
    Schmidt, Alexandra M.
    Moreira, Ajax R. B.
    Helfand, Steven M.
    Fonseca, Thais C. O.
    JOURNAL OF PRODUCTIVITY ANALYSIS, 2009, 31 (02) : 101 - 112
  • [3] Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency
    Alexandra M. Schmidt
    Ajax R. B. Moreira
    Steven M. Helfand
    Thais C. O. Fonseca
    Journal of Productivity Analysis, 2009, 31 : 101 - 112
  • [4] Bayesian estimation of inefficiency heterogeneity in stochastic frontier models
    Galan, Jorge E.
    Veiga, Helena
    Wiper, Michael P.
    JOURNAL OF PRODUCTIVITY ANALYSIS, 2014, 42 (01) : 85 - 101
  • [5] Bayesian estimation of inefficiency heterogeneity in stochastic frontier models
    Jorge E. Galán
    Helena Veiga
    Michael P. Wiper
    Journal of Productivity Analysis, 2014, 42 : 85 - 101
  • [6] Skewness-based test diagnosis of technical inefficiency in spatial autoregressive stochastic frontier models
    Deng, Ming-Yu
    Kutlu, Levent
    Wang, Mingxi
    JOURNAL OF PRODUCTIVITY ANALYSIS, 2024, 62 (01) : 53 - 70
  • [7] Goodness of fit tests in stochastic frontier models
    Wei Siang Wang
    Christine Amsler
    Peter Schmidt
    Journal of Productivity Analysis, 2011, 35 : 95 - 118
  • [8] Goodness of fit tests in stochastic frontier models
    Wang, Wei Siang
    Amsler, Christine
    Schmidt, Peter
    JOURNAL OF PRODUCTIVITY ANALYSIS, 2011, 35 (02) : 95 - 118
  • [9] Unknown latent structure and inefficiency in panel stochastic frontier models
    Kutlu, Levent
    Tran, Kien C.
    Tsionas, Mike G.
    JOURNAL OF PRODUCTIVITY ANALYSIS, 2020, 54 (01) : 75 - 86
  • [10] Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach
    Guohua Feng
    Chuan Wang
    Xibin Zhang
    Journal of Productivity Analysis, 2019, 51 : 1 - 19