Somatic cell counts in dairy marketing: quantile regression for count data

Richard J. Volpe, Timothy Park, Fengxia Dong and Helen Jensen

ISU General Staff Papers from Iowa State University, Department of Economics

Abstract: We study the determinants of somatic cell count (SCC) for farm milk among US dairies. We synthesise much of the work that has been done to model SCC determinants in order to identify the potential impacts of buyer-imposed penalties and incentives within the supply chain. Additionally, we estimate quantile regression for count data to measure impacts specifically for those operations with the highest SCC and to account for the statistical properties of the data. Premiums in particular have the potential to reduce SCC considerably where it is currently the highest. We draw implications for profitability in relation to SCC reduction.

Date: 2016-04-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://dr.lib.iastate.edu/server/api/core/bitstre ... 7a0df0b64feb/content
Our link check indicates that this URL is bad, the error code is: 403 Forbidden

Related works:
Journal Article: Somatic cell counts in dairy marketing: quantile regression for count data (2016)
Working Paper: Somatic Cell Counts in Dairy Marketing: Quantile Regression for Count Data (2013)
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:isu:genstf:201604010700001769

Access Statistics for this paper

More papers in ISU General Staff Papers from Iowa State University, Department of Economics Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070. Contact information at EDIRC.
Bibliographic data for series maintained by Curtis Balmer ().