Question

In: Economics

1- DHL Company specializes in rapid parcel delivery. Cross sectional data from DHL’s regional hub in...

1- DHL Company specializes in rapid parcel delivery. Cross sectional data from DHL’s regional hub in Palestine were used to estimate the demand equation for the company’s services. Holding income and prices of other goods constant, the demand equation is estimated to be

P = 66Q -1 /3

where P is the price per pound and Q is pounds delivered. The marginal cost of delivery is constant and equal to $2 per pound.

a. What is the point-price elasticity of demand?

b. What are the profit-maximizing price and quantity?

c. What are the total revenue maximizing price and quantity?

Solutions

Expert Solution

a. The demand equation faced by DHL company for its parcel delivery is given as P=66Q-1/3 or P=66Q-0.33 approximately, where P and Q represent the price per pound and the quantity or weight of parcels delivered measured in pounds. The marginal cost of delivery incurred by the company or MC is $2 per pound.

Now, based on the demand function when the Q is 10, the price per pound of parcels become:

P=66Q-0.33

P=66*(10)-0.33

P=660-0.33

P=659.67

Again based on the demand function given, when Q=20, the price per pound of parcels becomes:

P=66Q-0.33

P=66*(15)-0.33

P=990-0.33

P=989.67

Therefore, the percentage change in Q due to the change in P based on the calculations performed above=(15-10)/10=1/2=0.5 and the percentage change in P=(989.67-659.67)/659.67=0.5 approximately.

Therefore, the point elasticity of demand, in this case=0.5/0.5=1

b. Now, assuming a monopoly market for courier services and based on the profit-maximizing condition of a single or monopolistic firm in this case, the firm will produce the output which corresponds to the equality between the marginal revenue of production and the marginal cost of production incurred by the firm. The total revenue of the company or TR=P*Q=(66Q-0.33)*Q=66Q^2-0.33Q and the marginal revenue of the company or TR=dTR/dQ=132Q-0.33.

Therefore, based on the profit-maximizing condition of any competitive firm, we can state:-

MR=MC

132Q-0.33=2

132Q=2+0.33

132Q=2.33

Q=2.33/132

Q=0.0177 approximately

The profit-maximizing quantity of output or parcels of the company would be 0.0177 pounds.

Now, plugging the profit-maximizing quantity of the company into the demand function, we get:-

P=66Q-0.33

P=66*(0.0177)-0.33

P=1.1682-0.33

P=0.8382

The profit-maximizing per pound price charged by DHL company for the parcels is $0.8382

c) The total revenue of the company or TR=66Q^2-0.33Q and the marginal revenue of the company or MR=132Q-0.33. Now, based on the revenue-maximizing condition of any firm, the marginal revenue has to be set equal to 0.

Hence, based on the revenue-maximizing condition, it can be stated:-

MR=0

132Q-0.33=0

132Q=0.33

Q=0.33/132

Q=0.0025

Therefore, the revenue-maximizing quantity of parcels of the company is 0.0025 pounds

Now, plugging the revenue-maximizing quantity of parcels into the demand function, we get:-

P=66Q-0.33

P=66*(0.0025)-0.33

P=0.165-0.33

P=-0.165

The revenue-maximizing per pound price of parcels and the quantity of parcels of the DHL company are $-0.165 and 0.0025 pounds respectively.


Related Solutions

The following data is obtained from the general records in the shipping department at Rapid Parcel...
The following data is obtained from the general records in the shipping department at Rapid Parcel Delivery Company for August: Inspecting packages prior to placement on truck takes 1 minute per package. Processing paperwork for each shipment (each truck loaded) takes 30 minutes. Loading packages takes 2 minutes of labor per package plus an additional 3 labor hours per truck Miscellaneous tasks take 2 hours per truck. Temporary employees to perform all of the above tasks can be hired for...
Variables in Wooldridge's data set (description): Cross-sectional data set from Wooldridge 1. return % change stock...
Variables in Wooldridge's data set (description): Cross-sectional data set from Wooldridge 1. return % change stock price, 90-94 2. dkr debt/capital, 1990 3. eps earnings per share, 1990 4. netinc net income, 1990 (millions $) 5. salary CEO salary, 1990 (thousands $) Dataset: return dkr eps netinc salary -20.84211 4 48.1 1144 1090 -9.138381 27.3 -85.3 35 1923 86.21795 36.8 -44.1 127 1012 131.8367 46.4 192.4 367 579 -8.189655 36.2 -60.4 214 600 -26.00733 18.7 -79.8 118 735 52.27273 34.4...
A regional airline transfers passengers from small airports to a larger regional hub airport. The airline...
A regional airline transfers passengers from small airports to a larger regional hub airport. The airline data analyst was assigned to estimate the revenue ( in thousands of dollars) generated by each of the 22 small airports based on two variables: the distance from each airport ( in miles) to the hub and the population ( in hundreds) of the cities in which each of the 22 airports is located. The data is given in the following table. Airport revenue        ...
(a) Discuss the differences between panel data, time series data and cross sectional data. (b) Argue...
(a) Discuss the differences between panel data, time series data and cross sectional data. (b) Argue with the aid of examples the advantages of panel data over cross sectional data. (c) the Hausman specification test is used to choose between two different panel data models. Identify the two types of the models explaining their differences.
Discuss panel data and the use of pooled cross-sectional analysis and give an example of a...
Discuss panel data and the use of pooled cross-sectional analysis and give an example of a research question. Then discuss and predict the outcomes with the use of panel data and the use of pooled cross-sectional analysis for that same research.
a. Upon reviewing the results of a multiple regression involving 30 observations on cross sectional data...
a. Upon reviewing the results of a multiple regression involving 30 observations on cross sectional data the Econometric Society suspected that the variances of the error terms might be related to the predicted values of the dependent variable. Alarmed by the prospects they quickly ran a simple regression yielding the following results: ei 2 = 10.956 + 3.068?̂? R 2 = 0.096 Using hypothesis testing, test at a 5% level to see if the variance of error terms is related...
a. Upon reviewing the results of a multiple regression involving 30 observations on cross-sectional data the...
a. Upon reviewing the results of a multiple regression involving 30 observations on cross-sectional data the Econometric Society suspected that the variances of the error terms might be related to the predicted values of the dependent variable. Alarmed by the prospects they quickly ran a simple regression yielding the following results: ei2 = 10.956 + 3.068?̂? R2 = 0.096 Using hypothesis testing, test at a 5% level to see if the variance of error terms is related to the predicted...
Hi, I need to have a cross sectional data in order to do regression analysis. and...
Hi, I need to have a cross sectional data in order to do regression analysis. and the data should be as follows. and i cant find the data online. note: the data can be for any product Observation I Quantity Demanded/Sold Y Price X1 Income/person X2 Price of Substitutes X3 Price of Complements X4 1 265.2 12.0 6 17 0 2 279.6 20.2 7 18 0 3 311.2 27.0 7 17 1 4 328.0 30.0 8 18 1 5 352.0...
propose a situation with figures to explain the difference between cross sectional and time series data.
propose a situation with figures to explain the difference between cross sectional and time series data.
You are analyzing the stock of Pizza Hub, an online pizza delivery company. Your estimate of...
You are analyzing the stock of Pizza Hub, an online pizza delivery company. Your estimate of the cost of equity is 16 percent. The most recent dividend is $0.20 per share. You expect dividends to grow 15 percent per year for three years and 8 percent per year thereafter. What is your estimate of the stock price?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT