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Abstract
In modelling retail meat demand and supply equations it is difficult to identify close
substitutes or competing products. However, close substitutes can be identified
through a comparison of meat attributes, especially cooking method and sensory
attributes. The Meat Standards Australia (MSA) grading system can be used to
identify primals (whole muscles) with similar attributes. The MSA system is based
on carcase attributes, cooking methods and sensory properties and it allocates 3, 4 or 5
stars to beef primals. Prices for different star grades are affected by the quantity of
meat allocated into each grade and this is determined by cooking method, which is
dependent upon season. Estimating demand and supply by MSA grades and cooking
methods requires fewer variables and therefore reduces multicollinearity and
increases model efficiency.