Is Consumption in the United States and Japan Too Much or Too Little?
Copyright © 2012 SciRes. IB
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three typical methods: augmented Dickey-Fuller (ADF),
Phillips-Perron (PP), and Kwiatkowski-Phillips-Schmidt-
Shin (KPSS) tests.
The ADF test is often used for empirical estimation;
however, if the series is correlated at higher order lags,
the assumption of white noise disturbances is violated.
The PP test proposes a method by which to control for
higher order serial correlation in a series than is accepted
in the equation. The test makes a nonparametric correc-
tion to the t-test statistic. The test is robust with respect
to unspecified autocorrelation and heteroskedasticity in
the disturbance process of the test equation. Finally,
KPSS time series test is stationary around a deterministic
trend. This test differs from those in common use in that
they have a null hypothesis of stationarity. The test may
be conducted under the null of either trend or nontrend
stationarity. Inference from this test is complementary to
that derived from those based on the ADF. This test is
often employed with ADF to examine the possibility that
a series is fractionally integrated [13].
This article examines the effect of changes in produc-
tion on consumption. The method employed is LS (least
squares) and VAR (vector autoregression). VAR is com-
monly used to forecast systems of interrelated time series
and to analyze the dynamic impact of random distur-
bances on the employed variables. Empirical estimation
and interface are complicated by the fact that endogenous
variables may appear on both the left and right sides of
equations. The use of VAR can avoid this issue. The
variables employed are consumption and production [13].
Also, impulse responses are examined to trace the effect
of a one-time shock to one of the innovations on current
and future values of the endogenous variables.
The sample period is from 1993:1 to 2011:4. The year
1993 was selected for data availability (for Japanese em-
ployment). The data are quarterly. All the data are from
International Financial Statistics (IMF). Around the mid-
dle of 2008, the differences in the economic situations of
both countries appear evident. Since the middle of the
1990s, the Japanese economy has been in recession and
deflation; on the other hand, the US economy has ex-
panded stably except for a few years. Moreover, it has
been said that consumption is too large for economic
conditions in the United States. Whether or not this is
true or should be examined. Also, the effect of produc-
tions shock on consumption is examined. The template is
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3. Empirical Results
The results of the unit root tests are shown in Table 1.
In some cases, the results are not conclusive. However,
the use of each datum is not problematic especially in the
case of the PP test for empirical estimations.
The results of the regressions for Equation (9) are
shown in Table 2.
The results fit well for both the cases of the United
States and Japan. Also, it is interesting to note that the
coefficients of both countries are similar. Both countries
have common characteristics in consumption patterns de-
spite that both countries have experienced opposite eco-
nomic conditions since the middle of the 1990s. In the
past, US overconsumption has been pointed out; on the
contrary, lower Japanese consumption has been pointed
out. However, in reality, the two countries have similar
characteristics in consumptions.
Figure 1 (US) and Figure 2 (Japan) show the con-
sumptions in reality with the HP filter and as estimated.
It should be noted that US overconsumption and lower
levels of Japanese consumption were found in general.
During the sample period, the US economy expanded at
a steady rate; however, the Japanese economy has suf-
fered recession and deflation. In Japan, reduced wages
and uneasiness about the future have both seemed to lead
to declines in consumption. From 1992 to 2011, the
Japanese average wage fell about 11%. No downward
wage rigidity has been found in the past. Also, people are
concerned about the future because of the huge deficit in
Table 1. Unit root tests.
US Japan
ADF PP KPSS ADF PP KPSS
ct –2.555* –3.546*** 1.061*** –2.011 –4.398*** 0.992***
pet –0.916 –2.695* 1.068*** –1.657 –3.512*** 1.048***
pet – pet–1 –1.737 –11.571*** 0.081*** –2.932** –11.470*** 0.065**
Note: ***, **, and * denote statistical significance at the levels of 1%, 5% and 10% respectively. For the ADF and
PP tests, the series contain a unit root under the null, whereas the KPSS test assumes stationarity under the null.