Determining elasticity when the regression is log-log


Question 1) Aksala Manufacturing has estimated the following demand curve for its colored ice cube product:

SUMMARY OUTPUT    Dependent Variable:               
                                  Log P               
                   
Regression Statistics

Multiple R                  0.687879               
R Square                  0.684469               
Adjusted R Square    0.659021               
Standard Error          3039.897               
Observations                 50

ANOVA

 

 

 

 

 

 

df

SS

MS

F

Significance F

Regression

2

78800385

39400193

4.263641

0.019879

Residual

47

4.34E+08

9240973

 

 

Total

49

5.13E+08

 

 

 

 

 

 

 

 

 

 

Coefficients

Standard Error

t Stat

P-value

 

Intercept

3.532

5.569665375

1.79544

0.079015

 

Log Q

-0.845500

0.680373934

-2.93956

0.003056

 

Log Y

0.340998

0.012051041

2.76601

0.008086

 

where log P is the natural log of the price, log Q is the natural log of quantity sold, and log Y is the natural log of income.

a) What is the price elasticity of demand?

On question 1, note that log p is the dependent variable. Is this the way we usually estimate demand? Also note, the data is in log. Remember the secret for determining elasticity when the regression is log-log.

Question 2) Snell Software Corp (SSC) sells three different varieties of software. The each variety is marketed by a separate division within the organization.

a) SSC is trying to decide whether to outsource customer service. What issues Snell should consider in making there decision whether to outsource or not?

b) SSC has decided not to outsource. What price should Snell Customer Support charge each of SSC’s software division?

c) SSC has found that it has excess capacity in its Customer Support Unit and has decided to market its services externally, how does this change your answer to (b)?

Solution Preview :

Prepared by a verified Expert
Microeconomics: Determining elasticity when the regression is log-log
Reference No:- TGS02090572

Now Priced at $25 (50% Discount)

Recommended (90%)

Rated (4.3/5)