Calculate a Chow test statistic and test for whether the data can be pooled. What is your result?

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Consider a time-series model that relates Savings (Y) to disposable personal income (X) from
1970 through 1995:
Income
0000
000
000
0002
1000
1970
1975
1900
year
R² = 0.9021
income
R² = 0.2971
1955
1990
savings
500
1995
Ý= 1.0161 + 0.0803 X,
t= (0.0873) (9.6015)
250
002
soares
Ŷ 153.4947+ 0.0148X,
=
t= (4.6922) (1.7707)
RSS₂ = 10,005.22
It is well known that in 1982 the United States suffered its worst peacetime recession up to that
time. The civilian unemployment rate that year reached 9.7 percent, the highest since 1948. An
event such as
OGL
this might disturb the relationship between savings and disposable personal income (DPI). To see
if this happened, I divided the sample into two time periods: 1970-1981 and 1982-1995 (the
pre- and post-1982 recession periods) and re-estimated the models:
100
00
RSS,= 1785.032 df = 10
df = 12
Y = 62.4226 + 0.0376 X₁ +...
t= (4.8917) (8.8937)+...
R²0.7672 RSS3 = 23,248.30 df = 24
Calculate a Chow test statistic and test for whether the data can be pooled. What is your result?
Transcribed Image Text:Consider a time-series model that relates Savings (Y) to disposable personal income (X) from 1970 through 1995: Income 0000 000 000 0002 1000 1970 1975 1900 year R² = 0.9021 income R² = 0.2971 1955 1990 savings 500 1995 Ý= 1.0161 + 0.0803 X, t= (0.0873) (9.6015) 250 002 soares Ŷ 153.4947+ 0.0148X, = t= (4.6922) (1.7707) RSS₂ = 10,005.22 It is well known that in 1982 the United States suffered its worst peacetime recession up to that time. The civilian unemployment rate that year reached 9.7 percent, the highest since 1948. An event such as OGL this might disturb the relationship between savings and disposable personal income (DPI). To see if this happened, I divided the sample into two time periods: 1970-1981 and 1982-1995 (the pre- and post-1982 recession periods) and re-estimated the models: 100 00 RSS,= 1785.032 df = 10 df = 12 Y = 62.4226 + 0.0376 X₁ +... t= (4.8917) (8.8937)+... R²0.7672 RSS3 = 23,248.30 df = 24 Calculate a Chow test statistic and test for whether the data can be pooled. What is your result?
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