Please no written by hand solution 1. The demand for beef in Springania was estimated with the following function using 30 observations.Q = aP₁ P₂ P3d Iewhere Q is the per capita consumption of beef per yearP₁ is the price per pound of beefP2 is the price per pound of porkP3 is the price per pound of chickenI is the per capita income in thousands of dollars per year.The estimated coefficients are provided in the table below.Coefficient Estimated Value Standard Error of EstimateabсdeEquation0.024-0.980.070.010.0540.0220.0140.580.0291.15a) Is demand for beef elastic or inelastic? Explain.b) What range of the own-price elasticity will give a 95% probability that the actual value isincluded in the estimate?c) Is beef a normal good? Explain.d) What is the 68% confidence interval for the cross-price elasticity of beef with respect to theprice of chicken?e) Assume that Springania has only one other product in the economy that was not included in theabove equation. What is the cross-price elasticity of beef with respect to the price of this otherproduct? Explain.

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1. The demand for beef in Springania was estimated with the following function using 30 observations. Q = ap₁bP₂P 3d Ic where Q is the per capita consumption of beef per year P₁ is the price per pound of beef P2 is the price per pound of pork P3 is the price per pound of chicken I is the per capita income in thousands of dollars per year. he estimated coefficients are provided in the table below. Coefficient Estimated Value Standard Error of Estimate a b с d e Equation 0.024 -0.5 0.07 0.01 0.054 0.02 0.014 0.58 0.029 1.15 a) Is demand for beef elastic or inelastic? Explain. b) What range of the own-price elasticity will give a 95% probability that the actual value is included in the estimate? c) Is beef a normal good? Explain. d) What is the 68% confidence interval for the cross-price elasticity of beef with respect to the price of chicken? e) Assume that Springania has only one other product in the economy that was not included in the above equation. What is the cross-price elasticity of beef with respect to the price of this other product? Explain.

1. The demand for beef in Springania was estimated with the following function using 30 observations. Q = ap₁bP₂P 3d Ic where Q is the per capita consumption of beef per year P₁ is the price per pound of beef P2 is the price per pound of pork P3 is the price per pound of chicken I is the per capita income in thousands of dollars per year. he estimated coefficients are provided in the table below. Coefficient Estimated Value Standard Error of Estimate a b с d e Equation 0.024 -0.5 0.07 0.01 0.054 0.02 0.014 0.58 0.029 1.15 a) Is demand for beef elastic or inelastic? Explain. b) What range of the own-price elasticity will give a 95% probability that the actual value is included in the estimate? c) Is beef a normal good? Explain. d) What is the 68% confidence interval for the cross-price elasticity of beef with respect to the price of chicken? e) Assume that Springania has only one other product in the economy that was not included in the above equation. What is the cross-price elasticity of beef with respect to the price of this other product? Explain.

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

Chapter4: Estimating Demand

Section: Chapter Questions

Problem 7E

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using picture attached Over the range from $20 to $18, Qd goes from 12 to 17. Using this range of prices and quantities, you should calculate the coefficient of price elasticity of demand. In the box labeled H1, the coefficient of price elasticity of demand is: 3.28 5 3.01 2.97 In box H2, you would interpret the coefficient calculated in the previous question. Therefore, you would characterize this range as: Elastic Unit Elastic Inelastic None of the Above Using the dataset above, if prices increased from $8 to $10, then Total Revenue will: Increase Decrease None of the above
Q2 The manufacturer of a low-sugar bottled juice estimated the following demand equation for its product using data from 25 retail stores around Dover city for the month of November: Q=-2000-15 Pje+ 8.4Px + 0.51 + 0.4A (220) (5.0) (5.6) (0.2) (0.16) R²=0.57 n=25 F = 6.83 Assume the following values for the independent variables: Standard error 1 Q denotes quantity sold per month Pje (denotes price of the bottled juice) = 240 (in cents) P. (denotes price of leading competitor's product) - 300 (in cents) I (denotes per capita income of the standard residential district in which the retail store is located) = 4000 (in dollars) A (denotes monthly advertising expenditure) = 7700 (in dollars) Using this information, answer the following questions: a. Compute elasticities for each variable.. b. Do you think that this firm should cut its price to increase its market share?
Q2 The manufacturer of a low-sugar bottled juice estimated the following demand equation for its product using data from 25 retail stores around Dover city for the month of November: Q=-2000-15 Pje+ 8.4Px + 0.51 + 0.4A (220) (5.0) (5.6) (0.2) (0.16) R²=0.57 n=25 F = 6.83 Assume the following values for the independent variables: Standard error 1 Q denotes quantity sold per month Pje (denotes price of the bottled juice) = 240 (in cents) P. (denotes price of leading competitor's product) - 300 (in cents) I (denotes per capita income of the standard residential district in which the retail store is located) = 4000 (in dollars) A (denotes monthly advertising expenditure) = 7700 (in dollars) Using this information, answer the following questions: a. Compute elasticities for each variable.. b. Do you think that this firm should cut its price to increase its market share? Explain..
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. Note: The following is a regression equation. Standard errors are in parentheses for the demand for widgets. QD = - 5200 - 42P + 20PX + 5.2I + 0.20A + 0.25M (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…
A firm is faced with the following demand function (estimated in a regression equation based onpast data).QX = 200 – 4PX , where current price (PX ) = $30The firm is thinking of reducing price to $25 because someone suggested that wouldbring in more revenue. a. What is the own-price elasticity of demand? (show absolute value)b. Is the demand function elastic, inelastic or unitary elastic at a price of $30?c. Will the price reduction bring in more revenue?
The ATV Company produces a specialty cement used in the construction of roads. 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. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC -3.54…
The ATV Company produces a specialty cement used in the construction of roads. 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. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC -3.54…
For this question and the next few following, you should use the dataset below. Over the range from $4 to $6, Qd goes from 48 to 44. Using this range of prices and quantities, you should calculate the coefficient of price elasticity of demand. In the box labeled A1, the coefficient of price elasticity of demand is: 4 .22 2 .33
The multivariate demand function below will be needed for questions 12-18. Setting: Grapple, Inc. is a leading seller of laptop personal computers. However, they want to become a leading tablet seller, too. Your marketing department, aided by your economics staff, has estimated a function to help you in the quest for market leader in tablets. The variables are defined after the function. Qg = 10000 - 25Pg + 20Ph + 30Pr - 15dv - 35Psc - 10Pmm + 0.05Ag + 0.03A -25C + 0.1Y Qg = the number of Grapple tablet computers demanded per week. Pg = the price of each new Grapple tablet (in $). Ph = the price of each Hewpaq tablet (in $). Pr = the price of each Ronova tablet. Pdv = the price to equip a tablet with Holographic digital video (in $, this is an upgrade option that enables three-dimensional graphics on a tablet. Two-dimensional graphics is standard equipment). Psc = the price of various screen sizes (in $, a 8 inch is standard, but upgrade options are 10…
Please no written by hand and no emage Your company, which specializes in running shoes for men who are growing increasingly follicly-challenged (BalderDash®), has the following demand function: Q = a + bP + cM + dR where Q is the quantity demanded of BalderDash’s most popular shoes, P is the price of that product, M is consumer income, and R is the price of a related product. The regression results are: Adjusted R Square 0.7796 Independent Variables Coefficients Standard Error t Stat P-value Intercept 21,055.04 1428.27 14.74 8.1E-16 P -83.912 19.079 -4.398 0.000 M 0.0266 0.013 2.064 0.047 R -16.6 10.664 -1.556 0.129 Discuss whether you think these regression results will generate good sales estimates for BalderDash. Now assume that the income is $69,100, the price of the related good is $39, and BalderDash chooses to set the price of its product at $54. b. What is the estimated number of units sold given the data above? (round to nearest unit; no decimals) c.…
The REDY Company produces a specialty cement used in the construction of roads. REDY 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. The manager of REDY obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE 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…
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