Philippine Standard time

Spatial Stochastic Frontier Models


The stochastic frontier model with heterogeneous technical efficiency explained by exogenous variables is augmented with a sparse spatial autoregressive component for a cross-section data, and a spatial-temporal component for a panel data. An estimation procedure that takes advantage of the additivity of the model is proposed, computational advantages over simultaneous maximum likelihood estimation of all parameters is exhibited. The technical efficiency estimates are comparable to existing models and estimation procedures based on maximum likelihood methods. A spatial or spatial-temporal component can improve estimates of technical efficiency in a production frontier that is usually biased downwards.

Citations

This publication has been cited time(s).

  1. Bergantino, Angela Stefania, Mario Intini, and Nicola Volta, 2021 "The spatial dimension of competition among airports at the worldwide level: A spatial stochastic frontier analysis" , Elsevier

  2. Graaff, Thomas, 2020 "On the estimation of spatial stochastic frontier models: an alternative skew-normal approach" , Springer: Western Regional Science Association

  3. Bergantino, Angela Stefania, Mario Intini, and Nicola Volta, 2020 "Spatial competition and efficiency: an investigation in the airport sector" , University of Warwick, Department of Economics

  4. Faria, Samuel et.al, 2020 "Transient and persistent efficiency and spatial spillovers: Evidence from the Portuguese wine industry" , University of Warwick, Department of Economics

  5. Christophe, Adjin, K. and Christian H. C. A. Henning, 2020 "Climate variability and farm inefficiency: A spatial stochastic frontier analysis of Senegalese agriculture" , University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy

  6. Canello, Jacopo and Francesco Vidoli, 2019 "Investigating space‐time patterns of regional industrial resilience through a micro‐level approach: An application to the Italian wine industry" , Wiley Blackwell

  7. Pavlyuk, Dmitry, 2011 "Efficiency of broadband internet adoption in European Union member states" , University Library of Munich, Germany

  8. Pavlyuk, Dmitry, 2010 "Regional tourism competition in the Baltic states: A spatial stochastic frontier approach" , University Library of Munich, Germany

  9. Pavlyuk, Dmitry, 2010 "Spatial competition and cooperation effects on European airports' efficiency" , University Library of Munich, Germany

  10. Gadanakis, Yiorgos and Francisco José Areal, 2020 "Accounting for rainfall and the length of growing season in technical efficiency analysis" , Springer

  11. Vidoli, Francesco et.al, 2016 "Spatial nonstationarity in the stochastic frontier model: An application to the Italian wine industry" , Elsevier

  12. Vidoli, Francesco and Jacopo Canello, 2016 "Controlling for spatial heterogeneity in nonparametric efficiency models: An empirical proposal" , Elsevier



Related Publications