Suppose income is $40,000, the excise tax on cigarettes is $1.20, and the person is a 35-year-old white, non-Hispanic male who completed high school (education level = 9).
Use the table below to calculate the elasticities of demand for cigarettes for this person with respect to excise tax and income.
Variable |
Coefficient |
Std. Error |
t-stat |
Intercept |
17.22 |
0.63 |
27.34 |
Excise Tax |
-2.28 |
0.33 |
-6.96 |
Income (thousands of $) |
-0.002 |
0.0025 |
-0.8 |
Male |
2.23 |
0.21 |
10.68 |
African-American |
-5.05 |
0.34 |
-15.04 |
Educational level |
-0.67 |
0.05 |
-12.42 |
Hispanic |
-6.5 |
0.37 |
-17.55 |
R-squared |
0.1132 |
||
Price elasticity |
-0.0697 |
||
N |
9,555 |
Estimated regression equation is:
Q( Quantity) = 17.22 - 2.28 x E - 0.002 x M + 2.23 x ML - 5.05 x AA - 0.67 x ED - 6.5 x H, where
E: Excise Tax,
M: Income,
ML: Dummy variable (1 if Male, 0 if Female)
AA: Dummy variable (1 if African-American, 0 otherwise)
ED: Education level
H: Dummy variable (1 if Hispanic, 0 otherwise)
Given:
E = 1.2
M = 40
ML = 1
AA = 0
ED = 9
H = 0
Therefore,
Q = 17.22 - 2.28 x 1.2 - 0.002 x 40 + 2.23 x 1 - 5.05 x 0 - 0.67 x 9 - 6.5 x 0
Q = 17.22 - 2.736 - 0.08 + 2.23 - 6.03
Q = 10.604
So:
(a) Elasticity with respect to excise tax = (Q/E) x (E/Q) = - 2.28 x (1.2 / 10.604) = - 0.258
(a) Elasticity with respect to income = (Q/M) x (M/Q) = - 0.002 x (40 / 10.604) = - 0.0075
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