Somatic Cell Counts in Dairy Marketing: Quantile Regression for Count Data
AbstractWe 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.
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Bibliographic InfoPaper provided by Agricultural and Applied Economics Association in its series 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. with number 151425.
Date of creation: Jun 2013
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somatic cell counts; ARMS data; farm profitability; quantile regression; count data; Demand and Price Analysis; Research Methods/ Statistical Methods; Q16; Q12; C25; Q13;
Find related papers by JEL classification:
- Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
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