Demand Estimation<\/p>\n
Imagine that you work for the maker of a leading brand of low-calorie, frozen microwavable food that estimates the following demand equation for its product using data from 26 supermarkets around the country for the month of April.<\/p>\n
For a refresher on independent and dependent variables, please go to Sophia\u2019s Website and review the Independent and Dependent Variables tutorial, located at http:\/\/www.sophia.org\/tutorials\/independent-and-dependent-variables\u20133<\/a>. there are two (2) options you may choose from: Option 1 Note: The following is a regression equation. Standard errors are in parentheses for the demand for widgets. QD = \u2013 5200 \u2013 42P + 20PX + 5.2I + .20A + .25M (2.002) (17.5) (6.2) (2.5) (0.09) (0.21) R2 = 0.55 n = 26 F = 4.88<\/p>\n Your supervisor has asked you to compute the elasticities for each independent variable. Assume the following values for the independent variables:<\/p>\n Q = Quantity demanded of 3-pack units P (in cents) = Price of the product = 500 cents per 3-pack unit PX (in cents) = Price of leading competitor\u2019s product = 600 cents per 3-pack unit I (in dollars) = Per capita income of the standard metropolitan statistical area (SMSA) in which the supermarkets are located = $5,500 A (in dollars) = Monthly advertising expenditures = $10,000 M = Number of microwave ovens sold in the SMSA in which the supermarkets are located = 5,000<\/p>\n Option 2 Note: The following is a regression equation. Standard errors are in parentheses for the demand for widgets. QD = -2,000 \u2013 100P + 15A + 25PX + 10I (5,234) (2.29) (525) (1.75) (1.5) R2 = 0.85 n = 120 F = 35.25<\/p>\n Your supervisor has asked you to compute the elasticities for each independent variable. Assume the following values for the independent variables:<\/p>\n Q = Quantity demanded of 3-pack units P (in cents) = Price of the product = 200 cents per 3-pack unit PX (in cents) = Price of leading competitor\u2019s product = 300 cents per 3-pack unit I (in dollars) = Per capita income of the standard metropolitan statistical area (SMSA) in which the supermarkets are located = $5,000 A (in dollars) = Monthly advertising expenditures = $640<\/p>\n Write a four to six (4-6) page paper in which you:<\/p>\n Compute the elasticities for each independent variable. Note: Write down all of your calculations. Determine the implications for each of the computed elasticities for the business in terms of short-term and long-term pricing strategies. Provide a rationale in which you cite your results. Recommend whether you believe that this firm should or should not cut its price to increase its market share. Provide support for your recommendation. Assume that all the factors affecting demand in this model remain the same, but that the price has changed. Further assume that the price changes are 100, 200, 300, 400, 500, 600 dollars. Plot the demand curve for the firm. Plot the corresponding supply curve on the same graph using the following MC \/ supply function Q = -7909.89 + 79.0989P with the same prices. Determine the equilibrium price and quantity. Outline the significant factors that could cause changes in supply and demand for the product. Determine the primary manner in which both the short-term and the long-term changes in market conditions could impact the demand for, and the supply, of the product and indicate the crucial factors that could cause rightward shifts and leftward shifts of the demand and supply curves. Use at least three (3) quality academic resources in this assignment. Note: Wikipedia does not qualify as an academic resource.<\/p>\n","protected":false},"excerpt":{"rendered":" Demand Estimation Imagine that you work for the maker of a leading brand of low-calorie, frozen microwavable food that estimates the following demand equation for its product using data from 26 supermarkets around the country for the month of April. 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