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the maker of a leading brand of low calorie microwavable food estimated the following demand equation for its product using data from 26 supermarkets around the country for the month of April_Q= -5200-42P+20pX+5
the maker of a leading brand of low calorie microwavable food estimated the following demand equation for its product using data from 26 supermarkets around the country for the month of April_Q= -5200-42P+20pX+5.2i+0.20A+0.25M(2002) (17.5) (6.2) (2.5) (0.09) (0.21)Assume the following values for the independent variables_Q= quantity sold per monthP(in cents)=price of the product =500Px(in cents)=price of leading competitors product =600i (in dollars)= per capita income of the standard metropolitan statistical area(SMSA) in which the supermarket is located =5500A(in dollars)=monthly.
Expert Solution
Solution:
(a)
Elasticity of demand is calculated using specified formula
Elasticity= (IV/Q)(dQ/dIV)
Where Q is demand function and IV is some demand determinant; dQ/dIV is first derivative of demand function with respect to determinant. Since our demand function is linear hence coefficient of each IVs in demand function will be first derivatives of demand function with respect to that variable. ( e.g. first derivative of demand function Q with respect to price P will be (-42) i.e. dQ/dP=-42)
Value of IVs are given. Q can be calculated by putting these values of IVs in demand function and this gives Q=17650.
Now, here we have 5 independent variables as determinant of demand, elasticity of demand for each of the variable is calculated in tabular form for compact presentation.
Calculation of elasticity
|
1 |
2 |
3 |
4=2/3 |
5 |
6=4*5 |
|
Independent Variable (IV) |
Values of IVs |
Dependent Variable (Demand Function Q) |
IV/Q |
dQ/dIV |
Elasticity wrt IV=(IV/Q)* dQ/dIV |
|
P |
P=500 |
Q= -5200-42P+20pX+5.2i+0.20A+0.25M For given values of independent variables Q= -5200-42*500+20*600+5.2*5500+0.20*10000+0.25*5000
Q=17650 |
P/Q = 0.028329 |
dQ/dP = -42 |
(P/Q)*(dQ/dP)= -1.1898 |
|
Px |
Px=600 |
Px/Q = 0.033994 |
dQ/dPx = 20 |
(Px/Q)*(dQ/dPx)=0.679887 |
|
|
I |
i=5500 |
i/Q =0.311615 |
dQ/di = 5.2 |
(i/Q)*( dQ/di)=1.620397 |
|
|
A |
A=10000 |
A/Q =0.566572 |
dQ/dA = 0.2 |
(A/Q)*( dQ/dA)=0.113314 |
|
|
M |
M=5000 |
M/Q =0.283286 |
dQ/dM = 0.25 |
(M/Q)*( dQ/dM)=0.070822 |
(b)
Interpretation of various elasticities
|
Independent Variable (IV) |
Elasticity(e) wrt IV |
Interpretation |
|
P |
-1.1898 |
e<1; thus, for low calorie microwavable food is inelastic, total revenue will increase with increase in price. |
|
Px |
0.679887 |
Cross price elasticity is 0.68<1 means demand is relatively inelastic but a 10% decrease in competitors’ price will result in a 6.8 % decrease in demand of the maker. |
|
I |
1.620397 |
Income elasticity is 1.62>1 shows demand is relatively elastic and a rise of 10% in income will result in 16.2 % increase in demand |
|
A |
0.113314 |
Advertising elasticity of demand=0.113<1. Demand is relatively inelastic so rise in monthly advertising expenditure by 10% would result a 1.13% increase in demand. |
|
M |
0.070822 |
.071<1 indicates a 10% increase in number of microwave ovens sold in the SMSA will result in an increase in demand by less than 1 %( exactly 0.71%) |
Refer above table, as demand is relatively elastics wrt income so and in recession income of individuals go down so a recession would hit the sales.
(c) Firm should not cut price to increase market share unless the maker is ready to bear a loss in total revenue. Further if maker decrease its price then the same strategy may be followed by competitor to nullify the effect of price change by maker.
(d) As coefficient of determinant is 0.55 hence 55% of variation in sales is explained by the independent variables in the equations. Further, critical F=4.88 > tabulated F.05(5,20)=2.71 so the relationship is significant and we must have confidence in this regression relationship.
please see the attach file
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