A birth-death Markov chain Monte Carlo method to estimate the number of states in a state-contingent production frontier model
José Luis Preciado Arreola and Andrew L. Johnson
| Year of publication: |
2015
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|---|---|
| Authors: | Preciado Arreola, José Luis ; Johnson, Andrew L. |
| Published in: |
American journal of agricultural economics. - Cary, NC : Oxford University Press, ISSN 0002-9092, ZDB-ID 218188-5. - Vol. 97.2015, 4, p. 1267-1285
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| Subject: | Bayesian SFA | birth-death Monte Carlo | state-contingent production | stochastic frontier analysis | Monte-Carlo-Simulation | Monte Carlo simulation | Technische Effizienz | Technical efficiency | Theorie | Theory | Markov-Kette | Markov chain | Produktionsfunktion | Production function | Schätzung | Estimation | Bayes-Statistik | Bayesian inference |
| Extent: | graph. Darst. |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011317923