The Following table gives data on GNP and four definitions of the money stock for the United States for 1970-1983.
Download : 0514.dat
, 0514.xls
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Regressing GNP on the various definitions of money, we obtain the results shows in the following tables:
GNP-money stock regressions 1970-1983
| 1) GNPt= -787.4723 + 8.8063M1t r2 = 0.9912 | ||||
| (77.9664) | (0.2197) | |||
| 2) GNPt= -44.0626 + 1.5875M2t r2 = 0.9905 | ||||
| (61.0134) | (0.0448) | |||
| 3) GNPt= 158.1875 +1.2036M3t r2 = 0.9943 | ||||
| (42.9882) | (0.0262) | |||
| 4) GNPt= 164.2071 +1.0290Lt r2 = 0.9938 | ||||
| (44.7658) | (0.0234) | |||
(a) Which definition of money seems
to be closely related to nominal GNP? (Hint: which
regression(s)
is/are statistically significant?) (Suggested
Answer)
(b) Does that fact
that high
r2 for the above three regressionmean
that our choice for definition of
money does not matter? (Hint: what is the meaning of r2 ?) (Suggested
Answer)
(c)
To control money supply, which one of these money measures is a better
target for the purpose?
Can you tell from the regression results? (Suggested
Answer)