Need Guidance on solving this problem....

G

GoogleUser

Q i. John Smith, the research manager for marketing at the Chevrolet

Division of the General Motors Corporation, has specified the following

general demand function for Chevrolets in the United States:

QC = f(PC, N, I, PF, PG, A, PI)


Where QC is the quantity demanded of Chevrolets per year, PC is the price

of Chevrolets, N is population, I is disposable income, PF is the price of

Ford automobiles, PG is the price of gasoline, A is the amount of

advertising for Chevrolets, and PI is credit incentives to purchase

Chevrolets. Indicate whether you expect each independent or explanatory

variable to be directly or inversely related to the quantity demanded of

Chevrolets and the reason for your expectation.



ii. Suppose that GM's Smith estimated the following regression equation for

Chevrolet automobiles:


QC = 100,000 - 100PC + 2,000N + 50I + 30PF - ,000PG + 3A + 40,000 PI


Where
QC= quantity demanded per year of Chevrolet automobiles
PC = price of Chevrolet automobiles, in dollars
N = population of the United States, in millions
I = per capita disposable income, in dollars
PF = price of Ford automobiles, in dollars
PG = real price of gasoline, in cents per gallon
A = advertising expenditures by Chevrolet, in dollars per year
PI = credit incentives to purchase Chevrolets, in percentage
points below the rate of interest on borrowing in the
absence of incentives


a. Indicate the change in the number of Chevrolets purchased per year (QC)

for each unit change in the independent of explanatory variables.


b. Find the value of QC if the average value of PC = $9,000, N = 200

million, I = $10,000, PF = $8,000,
PG = 80 cents, A = $200,000, and if PI = 1.


c. Derive the equation for the demand curve for Chevrolets.


d. Plot it.
 
G

Greg

Q i. John Smith, the research manager for marketing at the Chevrolet

Division of the General Motors Corporation, has specified the following

general demand function for Chevrolets in the United States:

[snip]

Looks like homework. I think you'll learn more if you figure it out
on your own. I bet Syracuse University thinks so, too.

I will give you one clue: Microsoft Excel may be of limited use in
solving this problem. (Although it may be able to give you a nice
plot for the last part.)
 

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