Technical efficiency with state-contingent production frontiers using maximum entropy estimators

• Tipo: Artigo em Revista Científica Internacional
• Data: 2014

Autores

Pedro Macedo (Autor) Outra; Elvira Silva (Autor) FEP; Manuel Scotto (Autor) Outra

Revista

Título: Journal of Productivity Analysis

Vol. 41 Nº 1

Páginas: 131-140

ISSN: 0895-562X

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 13 Citações

ISI Web of Science

Scopus - 15 Citações

Classificação Científica

FOS: Ciências sociais

Outras Informações

ID Authenticus: P-009-39K

DOI: 10.1007/s11123-012-0314-y

Abstract (EN): Although the theory of state-contingent production is well-established, the empirical implementation of this approach is still in an infancy stage. The possibility of finding a large number of states of nature, few observations per state and models affected by collinearity have led some researchers to claim the urgent need to develop robust estimation techniques. In this paper, we investigate the performance of some maximum entropy estimators to assess technical efficiency with state-contingent production frontiers. The methodological discussion and the simulation study provided in the paper reveal some of the potential of these estimators. Small mean squared error loss and small differences between the true and the estimated mean of technical efficiency show that the maximum entropy can be a powerful tool in the estimation of state-contingent production frontiers.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10