Demand equations derived from actual market data are a) empirical demand functions. b) never estimated using consumer interviews. c) generally estimated using regression analysis. d) both a and c e) all of the above

Demand equations derived from actual market data are a) empirical demand functions. b) never estimated using consumer interviews. c) generally estimated using regression analysis. d) both a and c e) all of the above

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter4A: Problems In Applying The Linear Regression Model

Section: Chapter Questions

Problem 3E

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Agnes, a General Manager in XXX Company, estimated a multiplicative demand function of the form: using a cross-section data collected in the company sales on 30th June, 2019. The estimation results are as follows: (SEE IMAGE) Write down the estimated demand equation Interpret the coefficients and R2 value Describe any three managerial decisions that can be applied by the manager from the estimated demand function
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Rubrics : ·Addressing all questions above - ·Demonstrating a clear understanding of the course material and ability to relate the course material to the assignment questions – ·Clarity of expression, good use of language – ·Logical planning, structure and sequence in presenting your findings – ·Overall presentation, including correct grammar, spelling and punctuation – Define the price elasticity of demand and the income elasticity of demand.
ATV is a price-setting firm and estimates the demand for its cement using a demand function in the linear form: Q = f( P, M, PR) where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. DEPENDENT VARIABLE Qc R- SQUARE P- VALUE ON F 64 0.8093 0.0001 INDEPENDENTVARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC -3.54 1.64 -2.16 0.0357 M 0.64287 0.19 3.38 0.0014 PA 0.7854 0.38 2.07 0.0439 10. Write the resulting regression equation.
The company is considering lowering the price of Model A to $27 in an effort to increase the number of units sold. Based on the results of price changes that have been instituted in the past, Tennis Products’ chief economist estimates the arc price elasticity of demand to be –2.5. Furthermore, she estimates the arc cross elasticity of demand between Model A and Model B to be approximately 0.5 and between Model A and Model C to be approximately 0.2. Variable costs per unit are not expected to change over the anticipated changes in volume. Evaluate the impact of the price cut on the (i) total revenue and (ii) contribution margin of Model A. Based on this analysis, should the firm lower the price of Model A? Explain
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