Estimate the parameters of the linear model

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The demand for roses.* Table 7.6 gives quarterly data on these variables:

Y = quantity of roses sold, dozens
X2 = average wholesale price of roses, $/dozen
X3 = average wholesale price of carnations, $/dozen
X4 = average weekly family disposable income, $/week
X5 = the trend variable taking values of 1, 2, and so on, for the period 1971-III to 1975-II in the Detroit metropolitan area

You are asked to consider the following demand functions:

Yt = α1 + α2 X2t + α3 X3t + α4 X4t + α5 X5t + ut

ln Yt = β1 + β2 ln X2t + β3 ln X3t + β4 ln X4t + β5 X5t + ut

a. Estimate the parameters of the linear model and interpret the results.

b. Estimate the parameters of the log-linear model and interpret the results.

c. β2 , β3 , and β4 give, respectively, the own-price, cross-price, and income elasticities of demand. What are their a priori signs? Do the results con- cur with the a priori expectations?

TABLE 7.6

Year and

quarter

Y

X2

X3

X4

X5

1971-III

11,484

2.26

3.49

158.11

1

-IV

9,348

2.54

2.85

173.36

2

1972-I

8,429

3.07

4.06

165.26

3

-II

10,079

2.91

3.64

172.92

4

-III

9,240

2.73

3.21

178.46

5

-IV

8,862

2.77

3.66

198.62

6

1973-I

6,216

3.59

3.76

186.28

7

-II

8,253

3.23

3.49

188.98

8

-III

8,038

2.60

3.13

180.49

9

-IV

7,476

2.89

3.20

183.33

10

1974-I

5,911

3.77

3.65

181.87

11

-II

7,950

3.64

3.60

185.00

12

-III

6,134

2.82

2.94

184.00

13

-IV

5,868

2.96

3.12

188.20

14

1975-I

3,160

4.24

3.58

175.67

15

-II

5,872

3.69

3.53

188.00

16

d. How would you compute the own-price, cross-price, and income elas- ticities for the linear model?

e. On the basis of your analysis, which model, if either, would you choose and why?

Reference no: EM13881871

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