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

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

European Review of Agricultural Economics, 2016, vol. 43, issue 2, 331-358

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
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Working Paper: Somatic cell counts in dairy marketing: quantile regression for count data (2016) Downloads
Working Paper: Somatic Cell Counts in Dairy Marketing: Quantile Regression for Count Data (2013) Downloads
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European Review of Agricultural Economics is currently edited by Timothy Richards, Salvatore Di Falco, Céline Nauges and Vincenzina Caputo

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