Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Modelling multi-output stochastic frontiers using copulas

Tools
- Tools
+ Tools

Carta, Alessandro and Steel, Mark F. J. (2012) Modelling multi-output stochastic frontiers using copulas. Computational Statistics & Data Analysis, Volume 56 (Number 11). pp. 3757-3773. doi:10.1016/j.csda.2010.07.007 ISSN 0167-9473.

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Official URL: http://dx.doi.org/10.1016/j.csda.2010.07.007

Request Changes to record.

Abstract

The aim is to introduce a new econometric methodology for multi-output production frontiers. In the context of a system of frontier equations, a flexible multivariate distribution for the inefficiency error term is used. This multivariate distribution is constructed through a copula function which allows for separate modelling of the marginal inefficiency distributions and the dependence. Specific attention to the elicitation of a sensible (improper) prior is paid and simple sufficient conditions for posterior propriety are provided. Inference is conducted through a Markov chain Monte Carlo sampler. Bayes factors are used to compare various copula specifications in the empirical context of Dutch dairy farm data, with two outputs.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Science > Statistics
Journal or Publication Title: Computational Statistics & Data Analysis
Publisher: Elsevier Science Ltd
ISSN: 0167-9473
Official Date: 2012
Dates:
DateEvent
2012Published
Volume: Volume 56
Number: Number 11
Page Range: pp. 3757-3773
DOI: 10.1016/j.csda.2010.07.007
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us