EconPapers    
Economics at your fingertips  
 

The Effect of Carcass Quality on the Grid versus Dressed Weight Carcass Revenue Differential

Scott Fausti (), Bashir A. Qasmi, Matthew Diersen (), Matthew Stockton () and Bill Adamson

No 142983, 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida from Southern Agricultural Economics Association

Abstract: Our study investigates the fed cattle grid pricing system and its premium and discount incentive mechanism over time. We hypothesize that the influence of an animal's carcass quality attributes on a price grid's incentive mechanism can be revealed by evaluating the effect of carcass quality on an individual animal's grid determined carcass premium or discount. A pooled-crossed sectional data set containing carcass information on 604 fed steers evaluated weekly on the USDA-AMS publically reported price grid (National Carcass Premiums and Discounts for Slaughter Steers and Heifers) was constructed for the years 2001 to 2008 (238,000 observations). The empirical evidence suggests that carcass quality attributes price, select, and heavy weight have been gaining influence with respect to market valuation of individual animal's carcass characteristics.

Keywords: Demand; and; Price; Analysis (search for similar items in EconPapers)
Pages: 10
Date: 2013-01-15
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://ageconsearch.umn.edu/record/142983/files/SAEA.2013.paper.pdf (application/pdf)

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:ags:saea13:142983

DOI: 10.22004/ag.econ.142983

Access Statistics for this paper

More papers in 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida from Southern Agricultural Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2020-08-17
Handle: RePEc:ags:saea13:142983