[go: up one dir, main page]

  EconPapers    
Economics at your fingertips  
 

A Poisson Stochastic Frontier Model with Finite Mixture Structure

Kyriakos Drivas, Claire Economidou and Mike Tsionas

MPRA Paper from University Library of Munich, Germany

Abstract: Standard stochastic frontier models estimate log-linear specifications of production technology, represented mostly by production, cost, profit, revenue, and distance frontiers. We develop a methodology for stochastic frontier models of count data allowing for technological and inefficiency induced heterogeneity in the data and endogenous regressors. We derive the corresponding log-likelihood function and conditional mean of inefficiency to estimate technology regime-specific inefficiency. We further provide empirical evidence that demonstrates the applicability of the proposed model.

Keywords: efficiency; Poisson stochastic frontier; mixture; innovation; states (search for similar items in EconPapers)
JEL-codes: C13 C24 C33 C51 (search for similar items in EconPapers)
Date: 2014-07-20
New Economics Papers: this item is included in nep-ecm, nep-eff, nep-ino and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/57485/1/MPRA_paper_57485.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:57485

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2024-12-20
Handle: RePEc:pra:mprapa:57485