Date of Award
2017
Publisher
North Dakota State University
Document Type
Thesis
Degree Awarded
Master of Science (MS)
Program
Agribusiness and Applied Economics
Department
Agribusiness and Applied Economics
College
Agriculture, Food Systems and Natural Resources
Faculty Advisor
Olson, Frayne
Description
A model of local elevator basis levels was developed to quantify the response of corn, soybean and hard red spring wheat basis to a set of predefined predictors. Basis data from 2013 – 2016 for 12 grain elevators in Eastern North Dakota were collected. A maximum likelihood mixed effect model was used to test the significance of alternative predictor variables and further divided the residuals into temporal and spatial components. The results indicate that the base model was able to explain 57 to 87 percent of the local basis variability for the selected crops at the individual elevators. In addition, the findings suggest that the temporal portion of the remaining variability is greater than the spatial variability for corn and soybean, but similar for hard red spring wheat.
Recommended Citation
Mobarok, Mohammad Hasan, "A Study of North Dakota Crop Basis Volatility: A Mixed Model Approach to Temporally and Spatially Analyze Unobserved Basis Determinants" (2017). Agribusiness and Applied Economics. 87.
https://digitalcommons.ndsu.edu/agribusiness-applied-econ/87
Rights
NDSU policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Author ORCID Identifier
0000-0002-5217-880X
Handle Identifier
https://hdl.handle.net/10365/28549