Estimating market power using a composed error model

Mustafa Karakaplan and Levent Kutlu

Scottish Journal of Political Economy, 2019, vol. 66, issue 4, 489-510

Abstract: We present a maximum likelihood based composed error model to estimate market powers of firms. In our model, the stochastic part of the supply relation includes two random components: the conventional two‐sided error term and a random term, which is capturing firm‐specific conducts. Moreover, we provide a generalization of scaled Stevenson stochastic frontier model in the context of doubly truncated normal distributions. We estimate the market powers of Chicago based airlines as an empirical example that is showing the applicability of our estimation procedure.

Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://doi.org/10.1111/sjpe.12195

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:bla:scotjp:v:66:y:2019:i:4:p:489-510

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0036-9292

Access Statistics for this article

Scottish Journal of Political Economy is currently edited by Tim Barmby, Andrew Hughes-Hallett and Campbell Leith

More articles in Scottish Journal of Political Economy from Scottish Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().