THIS IS THE DEV/TESTING WEBSITE IPv4: 18.117.244.233 IPv6: || Country by IP: GB
Journals
Resources
About Us
Open Access

The Estimation of Meta-Frontiers by Constrained Maximum Likelihood

The Estimation of Meta-Frontiers by Constrained Maximum Likelihood

Year:    2013

Author:    Repkine, Alexandre

Applied Economics Quarterly, Vol. 59 (2013), Iss. 3 : pp. 253–273

Abstract

Existing approaches to the meta-frontier estimation are largely based on the linear programming technique, which does not hinge on any statistical underpinnings. We suggest estimating meta-frontiers by constrained maximum likelihood subject to the constraints that specify the way in which the estimated meta-frontier overarches the individual group frontiers. We present a methodology that allows one to either estimate meta-frontiers using the conventional set of constraints that guarantees overarching at the observed combinations of production inputs, or to specify a range of inputs within which such overarching will hold. In either case the estimated meta-frontier coefficients allow for the statistical inference that is not straightforward in case of the linear programming estimation. We apply our methodology to the world's FAO agricultural data and find similar estimates of the meta-frontier parameters in case of the same set of constraints. On the contrary, the parameter estimates differ a lot between different sets of constraints.

JEL Classification: O40, O47

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.3790/aeq.59.3.253

Applied Economics Quarterly, Vol. 59 (2013), Iss. 3 : pp. 253–273

Published online:    2013-09

AMS Subject Headings:    Duncker & Humblot

Copyright:    COPYRIGHT: © Global Science Press

Pages:    21

Author Details

Repkine, Alexandre