A Bayesian stochastic frontier model with endogenous regressors : an application to the effect of division of labor in Japanese water supply organizations
Eri Nakamura, Takuya Urakami, and Kazuhiko Kakamu
| Year of publication: |
2019
|
|---|---|
| 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
|
| Subject: | Division of labor | instrumental variable model | Markov chain Monte Marlo (MCMC) | stochastic frontier model | water supply organizations | Gibbs sampler | endogeneity | inefficiency | Wasserversorgung | Water supply | Theorie | Theory | Markov-Kette | Markov chain | Technische Effizienz | Technical efficiency | Arbeitsteilung | Division of labour | Bayes-Statistik | Bayesian inference | Monte-Carlo-Simulation | Monte Carlo simulation | Wasserwirtschaft | Water industry | Produktionsfunktion | Production function | Japan |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz im Buch ; Book section |
| Language: | English |
| Other identifiers: | 10.1108/S0731-90532019000040B003 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012244165