A Bayesian stochastic frontier model with endogenous regressors : an application to the effect of division of labor in Japanese water supply organizations
Year of publication: |
2019
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Authors: | Nakamura, Eri ; Urakami, Takuya ; Kakamu, Kazuhiko |
Published in: |
Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modelling ; Part B. - Bingley, UK : Emerald Publishing, ISBN 978-1-83867-420-5. - 2019, p. 29-46
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Subject: | Division of labor | instrumental variable model | Markov chain Monte Marlo (MCMC) | stochastic frontier model | water supply organizations | Gibbs sampler | endogeneity | inefficiency | Technische Effizienz | Technical efficiency | Wasserversorgung | Water supply | Bayes-Statistik | Bayesian inference | Markov-Kette | Markov chain | Wasserwirtschaft | Water industry | Arbeitsteilung | Division of labour | Schätztheorie | Estimation theory |
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