Impacts of Non-Grade Quality Factors on North Dakota Origin Soybean Basis Values: A Panel Regression Analysis

David Bullock (), William W. Wilson and Ryan Thompson

No 316397, 2021 Conference from NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management

Abstract: The impact of protein and essential amino acid (cysteine, lysine, methionine, threonine, and tryptophan) content upon North Dakota origin basis values was examined using a panel dataset covering eight Crop Reporting Districts (CRDs) over ten marketing years (2009/10 through 2018/19). Fixed-effect panel regression models were estimated based upon marketing year and quarterly averages to capture seasonal effects related to the timing of quality report releases. Principal component analysis (PCA) was applied to the amino acid quality measurements as a data reduction technique and to correct for multicollinearity in the variables. The regression results indicated a statistically significant positive relationship between three essential amino acids (methionine, threonine, and tryptophan) and local basis values in the quarters corresponding with and just following the release of the annual quality reports. Protein content was found to have little to no effect upon local basis values when considered with the amino acid measurements.

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:ags:nccc21:316397

DOI: 10.22004/ag.econ.316397

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