Artículo
Bayesian estimation of the half-normal regression model with deterministic frontier
Autor/es | Ortega, Francisco J.
Gavilán Ruiz, José Manuel |
Departamento | Universidad de Sevilla. Departamento de Economía Aplicada I |
Fecha de publicación | 2016 |
Fecha de depósito | 2018-02-23 |
Publicado en |
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Resumen | A regression model with deterministic frontier is considered. This type of model has hardly been studied, partly owing to the difficulty in the application of maximum likelihood estimation since this is a non-regular model. ... A regression model with deterministic frontier is considered. This type of model has hardly been studied, partly owing to the difficulty in the application of maximum likelihood estimation since this is a non-regular model. As an alternative, the Bayesian methodology is proposed and analysed. Through the Gibbs algorithm, the inference of the parameters of the model and of the individual efficiencies are relatively straightforward. The results of the simulations indicate that the utilized method performs reasonably well |
Cita | Ortega, F.J. y Gavilán Ruiz, J.M. (2016). Bayesian estimation of the half-normal regression model with deterministic frontier. Computational Statistics, 31 (3), 1059-1078. |
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