Somatic Cell Counts in Dairy Marketing: Quantile Regression for Count Data

Richard Volpe (), Timothy Park, David Hennessy and Helen Jensen

No 151425, 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. from Agricultural and Applied Economics Association

Abstract: We study the determinants of somatic cell count (SCC) for fluid milk among U.S. dairies. We synthesize much of the work that has been done to model SCC economically 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.

Keywords: Demand and Price Analysis; Research Methods/ Statistical Methods (search for similar items in EconPapers)
Pages: 36
Date: 2013-06
New Economics Papers: this item is included in nep-agr
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/151425/files/SCC%20AAEA%20Manucript.pdf (application/pdf)

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 (2016)
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:aaea13:151425

DOI: 10.22004/ag.econ.151425

Access Statistics for this paper

More papers in 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().