Jul 19, 2017 Research papers

Demand Estimation

This paper concentrates on the primary theme of Demand Estimation in which you have to explain and evaluate its intricate aspects in detail. In addition to this, this paper has been reviewed and purchased by most of the students hence; it has been rated 4.8 points on the scale of 5 points. Besides, the price of this paper starts from £ 40. For more details and full access to the paper, please refer to the site.

Assignment: Demand Estimation

INSTRUCTIONS:

Assignment 1: Demand Estimation

Due Week 3 and worth 200 points



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.



For a refresher on independent and dependent variables, please go to Sophia’s Website and review the Independent and Dependent Variables tutorial, located at http://www.sophia.org/tutorials/independent-and-dependent-variables--3.



Option 1

Note: The following is a regression equation. Standard errors are in parentheses for the demand for widgets.

QD = - 5200 - 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



Your supervisor has asked you to compute the elasticities for each independent variable. Assume the following values for the independent variables:



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’s 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



Option 2

Note: The following is a regression equation. Standard errors are in parentheses for the demand for widgets.



QD = -2,000 - 100P + 15A + 25PX + 10I

(5,234) (2.29) (525) (1.75) (1.5)

R2 = 0.85 n = 120 F = 35.25



Your supervisor has asked you to compute the elasticities for each independent variable. Assume the following values for the independent variables:



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’s 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



Write a four to six (4-6) page paper in which you:



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.

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.



Your assignment must follow these formatting requirements:



Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.

Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.



The specific course learning outcomes associated with this assignment are:



Analyze how production and cost functions in the short run and long run affect the strategy of individual firms.

Apply the concepts of supply and demand to determine the impact of changes in market conditions in the short run and long run, and the economic impact on a company’s operations.

Use technology and information resources to research issues in managerial economics and globalization.

Write clearly and concisely about managerial economics and globalization using proper writing mechanics.





Please follow the grading rubics that is attached and there are also helpful tips attached.

CONTENT:

Demand Estimation: option 1 Name Professor Course Date The quantity demanded for the widgets is = -5200-42(500) + 20 (600) + 0.2(5000) = 17650 Price elasticity Price/ Quantity* change in quantity/ change in price= (P/Q)*(dQ/dP) The change in Quantity/change in Price= -42 The price of a three pack unit is 500 when the price is 17, 650 Price Elasticity (Ep) = -42* (500/ 17650) =1.19 Cross elasticity (Ec)= 20* (600/ 17, 650) = 0.68 Elasticity of advertising: EA= P/Q (0.20) (10000/17650) = 0.11 Elasticity of per capita income (EI)= 5.2*(5500/17650) = 1.62 EM =0.25 (5000/17650) = 0.07 2. 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 Since the price elasticity is -1.19 there is an indirect relationship between the quantity demanded and the price of goods. If the organization increases the price of widgets by 1% there will be a 1.19% decrease in the quantity of widgets demanded. As such incrassating the price of widgets may be counterproductive as consumers would buy less of the product, resulting to a fall in reven

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