Estimating economies of scale and scope with flexible technology
Thomas Triebs,
David Saal,
Pablo Arocena and
Subal Kumbhakar
Munich Reprints in Economics from University of Munich, Department of Economics
Abstract:
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.
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (23)
Published in Journal of Productivity Analysis 2 45(2016): pp. 173-186
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Journal Article: Estimating economies of scale and scope with flexible technology (2016) 
Journal Article: Estimating economies of scale and scope with flexible technology (2016) 
Working Paper: Estimating Economies of Scale and Scope with Flexible Technology (2012) 
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:lmu:muenar:43531
Access Statistics for this paper
More papers in Munich Reprints in Economics from University of Munich, Department of Economics Ludwigstr. 28, 80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Tamilla Benkelberg ().