Modelling Technical Efficiency in Cross Sectionally Dependent Stochastic Frontier Panels
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Cited by:
- Cristina Polo & Julián Ramajo & Alejandro Ricci‐Risquete, 2021. "A stochastic semi‐non‐parametric analysis of regional efficiency in the European Union," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 7-24, February.
- Paul W. Wilson & Shirong Zhao, 2025. "A non-parametric analysis of world productivity growth, 1990–2019," Annals of Operations Research, Springer, vol. 346(3), pages 2253-2285, March.
- Alejandro Puerta & Andr'es Ram'irez-Hassan, 2020. "Inferring hidden potentials in analytical regions: uncovering crime suspect communities in Medell\'in," Papers 2009.05360, arXiv.org.
- Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
- Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
- Alberto Gude & Inmaculada Álvarez & Luis Orea, 2018.
"Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model,"
Journal of Productivity Analysis, Springer, vol. 50(3), pages 155-173, December.
- Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- George Kapetanios & Laura Serlenga & Yongcheol Shin, 2024.
"Testing for correlation between the regressors and factor loadings in heterogeneous panels with interactive effects,"
Advanced Studies in Theoretical and Applied Econometrics, in: Subal C. Kumbhakar & Robin C. Sickles & Hung-Jen Wang (ed.), Advances in Applied Econometrics, pages 147-195,
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- George Kapetanios & Laura Serlenga & Yongcheol Shin, 2023. "Testing for correlation between the regressors and factor loadings in heterogeneous panels with interactive effects," Empirical Economics, Springer, vol. 64(6), pages 2611-2659, June.
- Jacopo Canello & Francesco Vidoli, 2020. "Investigating space‐time patterns of regional industrial resilience through a micro‐level approach: An application to the Italian wine industry," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 653-676, September.
- Orea, Luis & Álvarez, Inmaculada C., 2019.
"A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms,"
Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
- Orea, Luis & Álvarez, Inmaculada C., 2017. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Efficiency Series Papers 2017/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
- William C. Horrace & Yulong Wang, 2022.
"Nonparametric tests of tail behavior in stochastic frontier models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
- William & C. Horrace & Yulong Wang, 2020. "Nonparametric Tests of Tail Behavior in Stochastic Frontier Models," Papers 2006.07780, arXiv.org.
- William C. Horrace & Yulong Wang, 2020. "Nonparametric Tests of Tail Behavior in Stochastic Frontier Models," Center for Policy Research Working Papers 230, Center for Policy Research, Maxwell School, Syracuse University.
- Efthymios G. Tsionas & Panayotis G. Michaelides, 2016. "A Spatial Stochastic Frontier Model with Spillovers: Evidence for Italian Regions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(3), pages 243-257, July.
- Pieri, Fabio & Vecchi, Michela & Venturini, Francesco, 2018. "Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approach," Research Policy, Elsevier, vol. 47(9), pages 1842-1852.
- Glass, Anthony J. & Kenjegalieva, Karligash & Ajayi, Victor & Adetutu, Morakinyo & Sickles, Robin C., 2016.
"Relative Winners and Losers from Efficiency Spillovers in Africa with Policy Implications for Regional Integration,"
Working Papers
16-003, Rice University, Department of Economics.
- Anthony J. Glass & Karligash Kenjegalieva & Victor Ajayi & Morakinyo Adetutu & Robin C. Sickles, 2017. "Relative Winners and Losers from Efficiency Spillovers in Africa with Policy Implications for Regional Integration," NBS Discussion Papers in Economics 2017/01, Economics, Nottingham Business School, Nottingham Trent University.
- Fabio Pieri & Michela Vecchi & Francesco Venturini, 2017. "Modelling the joint impact of R and D and ICT on productivity: A frontier analysis approach," DEM Working Papers 2017/13, Department of Economics and Management.
- Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
- Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
- Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2025.
"Efficiency of Queensland public hospitals via spatial panel stochastic frontier models,"
Empirical Economics, Springer, vol. 69(5), pages 2865-2900, November.
- Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.
- Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
- Kassoum Ayouba, 2023.
"Spatial dependence in production frontier models,"
Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
- Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Post-Print hal-04166472, HAL.
- Katerina Chrysikou & George Kapetanios, 2024. "Heterogeneous Grouping Structures in Panel Data," Papers 2407.19509, arXiv.org.
- Ahmadi, Maryam & Casoli, Chiara & Manera, Matteo & Valenti, Daniele, 2025. "Climate shocks, economic activity and cross-country spillovers: Evidence from a new global model," Economic Modelling, Elsevier, vol. 148(C).
- George Kapetanios & Laura Serlenga & Yongcheol Shin, 2019. "Testing for Correlated Factor Loadings in Cross Sectionally Dependent Panels," SERIES 02-2019, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Jun 2019.
- Chih-Chiang Hsu & Chang-Ching Lin & Shou-Yung Yin, 2026. "Panel stochastic frontier model with multi-factor error structure: an application on bank efficiency," Empirical Economics, Springer, vol. 70(3), pages 1-41, March.
- Hung-pin Lai & Kien C. Tran, 2022. "Persistent and transient inefficiency in a spatial autoregressive panel stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 58(1), pages 1-13, August.
- Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
- De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).
- Camilla Mastromarco & Léopold Simar, 2026.
"Nonparametric spatial frontier models for productivity analysis: evidence from EU regions,"
Journal of Productivity Analysis, Springer, vol. 65(2), pages 1-21, June.
- Mastromarco, Camilla & Simar, Léopold, 2025. "Nonparametric Spatial Frontier Models for Productivity Analysis: Evidence from EU Regions," LIDAM Discussion Papers ISBA 2025020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.
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