Skewness-based test diagnosis of technical inefficiency in spatial autoregressive stochastic frontier models
Year of publication: |
2024
|
---|---|
Authors: | Deng, Ming-Yu ; Kutlu, Levent ; Wang, Mingxi |
Published in: |
Journal of productivity analysis : an official journal of the International Society for Efficiency and Productivity Analysis. - New York, NY : Springer Science+Business Media LLC, ISSN 1573-0441, ZDB-ID 1478730-1. - Vol. 62.2024, 1, p. 53-70
|
Subject: | Hypothesis testing | Skewness | Spatial autoregression | Stochastic frontier | Technical inefficiency | Technische Effizienz | Technical efficiency | Produktionsfunktion | Production function | Autokorrelation | Autocorrelation | Statistischer Test | Statistical test | Räumliche Interaktion | Spatial interaction | Schätztheorie | Estimation theory | Stochastischer Prozess | Stochastic process |
-
Asymptotic properties of a spatial autoregressive stochastic frontier model
Jin, Fei, (2020)
-
Estimating efficiency in a spatial autoregressive stochastic frontier model
Kutlu, Levent, (2018)
-
Persistent and transient inefficiency in a spatial autoregressive panel stochastic frontier model
Lai, Hung-pin, (2022)
- More ...
-
Artificial regression test diagnostics for impact measures in spatial models
Deng, Mingyu, (2022)
-
Sealed-bid auctions based on Cobb–Douglas utility function
Liu, Shulin, (2010)
-
The simple economics of bid criteria
Wang, Mingxi, (2011)
- More ...