Nonparametric Estimation of Oligopsony Power in First‐Price Auction

Chanjin Chung () and Emílio Tostão

Journal of Agricultural Economics, 2009, vol. 60, issue 2, 318-333

Abstract: This paper proposes a nonparametric procedure to estimate market power for first‐price auction data and applies the procedure to cattle procurement markets. Most previous studies have used parametric methods, which require specific functional forms for retail demand, input supply and processors’ cost equations. However, researchers often find that market power estimates from parametric methods are sensitive to the choice of functional forms and specifications. An application to data from cattle procurement experiments shows that our nonparametric approach greatly outperforms commonly used parametric methods in estimating the degree of market power. While parametric estimates are sensitive to functional form specification and are at least 90% smaller than ‘true’ market power indices, estimates from our nonparametric procedure deviate from the actual value by no more than 25%.

Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://doi.org/10.1111/j.1477-9552.2008.00188.x

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:jageco:v:60:y:2009:i:2:p:318-333

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0021-857X

Access Statistics for this article

Journal of Agricultural Economics is currently edited by David Harvey

More articles in Journal of Agricultural Economics from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().