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Estimating economies of scale and scope with flexible technology

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journal contribution
posted on 11.07.2016, 12:12 by Thomas TriebsThomas Triebs, David SaalDavid Saal, Pablo Arocena, Subal C. Kumbhakar
Economies of scope are typically modelled and estimated using a cost function that is common to all firms in an industry irrespective of their type, e.g. whether they specialize in a single output or produce multiple outputs. Instead, we estimate a flexible technology model that allows for type-specific technologies and show how it can be estimated using linear parametric forms including the translog. A common technology remains a special case of our model and is testable econometrically. Our sample, of publicly owned US electric utilities, does not support a common technology for integrated and specialized firms. Our empirical results therefore suggest that assuming a common technology might bias estimates of economies of scale and scope. Thus, how we model the production technology clearly influences the policy conclusions we draw from its characteristics.

Funding

Pablo Arocena and David Saal acknowledge financial support from the Spanish Ministry of Economy and Competitiveness (project ECO2010-21242-C03-03).

History

School

  • Business and Economics

Department

  • Economics

Published in

JOURNAL OF PRODUCTIVITY ANALYSIS

Volume

45

Issue

2

Pages

173 - 186 (14)

Citation

TRIEBS, T.P. ... et al, 2016. Estimating economies of scale and scope with flexible technology. Journal of Productivity Analysis, 45 (2), pp. 173 - 186.

Publisher

© Springer Science+Business Media

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2016-02-18

Notes

The final publication is available at Springer via http://dx.doi.org/10.1007/s11123-016-0467-1

ISSN

0895-562X

Language

en