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

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 30 Aug 2015 United States English Publisher:Oxford University Press (OUP)Journal:European Review of Agricultural Economics, volume 43, pages 331-358 (issn: 0165-1587, eissn: 1464-3618,

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Authors: Volpe, Richard; Park, Timothy; Dong, Fengxia; Jensen, Helen;

doi: 10.1093/erae/jbv021

handle: 20.500.12876/94086

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

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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.

Country

United States

Related Organizations

University of Wisconsin–Madison
United States
Economic Research Service
United States
United States Department of Agriculture
United States
Iowa State University
United States
California Polytechnic State University
United States

Keywords

Behavioral Economics, quantile regression, 330, Statistical Models, somatic cell counts, ARMS data, count data, 630, Agricultural and Resource Economics, Agribusiness, farm profitability, somatic cell counts, ARMS data, farm profitability, quantile regression, count data, Demand and Price Analysis, Research Methods/ Statistical Methods, Q16, Q12, C25, Q13,

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