Japan’s ‘Lost Decade’: Analysis of the Effects of Interest Rate Manipulation
Albert Lin Rutgers University
[email protected]
Submitted to Professor Hiroki Tsurumi 5/07/09
Abstract: Horioka (Japan and World Economy 18(4):378-400, 2006) argues that demand side factors offer a better explanation of Japan’s economic stagnation (misguided government policies) while others including Hayashi and Prescott (Review of Economic Dynamics 5(1):206235, 2002) suggest that supply side factors (low productivity growth) are more poignant in explaining Japan’s economic stagnation. I hypothesized that theoretically interest rate manipulation should increase private investment but in this case overall have no effect on GDP growth due to supply-side problems such as low productivity growth but find that interest rate changes have weak correlation to private investment. However, an OLS regression showed moderate correlation of interest rate change to real GDP growth (if one does not observe probability and f-statistics). This, I conclude, creates a disturbing impression that interest rate adjustments have helped real GDP growth. Also, I find that private and public investment has little correlation to real GDP growth. Keywords: Bank of Japan, Japanese Economy, Lost Decade, Monetary Policy, Ordinary Least Squared Regression Model
Introduction: Since 1990, Japan’s economic stagnation continues to persist. Although the credit boom in the year 2000 created the illusion to declare Japan out its “Lost Decade”, the years did not publish any higher levels of GDP growth higher than 2.90 percent according to Fig. 1. Hailing as the second largest economy in the world, Japan has experienced significantly lower rates of GDP growth (average of 1.17 percent from 1996 to 2005) when compared to that of the United States (3.26 percent), Asia excluding the Middle East (3.24 percent) and the World (3.04 percent). Fig. 1
Source: http://earthtrends.wri.org/text/economics-business/variable-227.html from EarthTrends Org.
Fig. 1 displays the trend in Japan’s GDP growth percentile from 1990 to the year 2005. There is a decline in GDP growth starting at 1990, with the burst of the real estate bubble until there seems to be modest recovery starting from 1993 (strong-armed fiscal policy in 1995) until the shocks of the 97’ Asian financial crisis adversely affected the revival. In the year 2000, a
credit boom creates the illusion of a robust recovery of the Japanese economy (sixth column of Table 1); however, GDP growth rates slump back to 0.20 percent in 2001. Chart 1 The GDP growth in percentiles of these respective regions, 1996-2003
2005
2004
2003
2002
2001
2000
1999
1998
1997
1996
World
3.5
4.1
2.7
1.9
1.5
4.1
3.2
2.3
3.7
3.4
Asia
4.7
5.1
3.9
2.8
2.2
4.6
2.4
-1
3.2
4.5
2
2.7
1.5
1.3
2.1
4.0
3.2
2.7
2.7
1.7
United States
3.2
3.9
2.5
1.6
0.8
3.7
4.5
4.2
4.5
3.7
Japan
1.9
2.7
1.4
0.3
0.2
2.9
-0.1
-2
1.6
2.7
Europe
Source: same as Fig. 1
Fig. 2
Source: http://www.e-stat.go.jp/SG1/estat/ListE.do?lid=000000730075 Official Statistics of Japan.
Fig. 2 shows the trend over time of Japanese CPI. CPI, a common measure of inflation, reveals that inflation rose steadily beginning from 1990 and peaking at 1998 even as GDP growth dwindled (Fig. 1). The sharp turn upward in trend in year 1996 may be attributed to the strong fiscal spending policies adopted by the government in 1995 as there had been an increase in money supply. What had been the government’s role during the so-called “post bubble” period? In this paper I specifically investigate the government’s monetary policy of interest rate manipulation. I assume that the government’s goals are to encourage the steady growth of GDP, maintain a low rate of inflation, creating a positive trend of productivity and real GDP (per worker), and making the most of resources/labor consistent with stable prices. Because relevant data on total factor productivity had been processed and limited to 3 sets of data http://www.kojin.org/papers/06_Japan_TFP.pdf, I chose data on the growth percentage of real GDP (seasonally adjusted) to use in demand-side factors calculations as the determining factor of policy effectiveness. I assumed that an effective change (that can be numerically measured) in government policy will yield a positive change in real GDP growth. Also, since maintaining a low rate of inflation and making use of resource/labor are inherently contradictory goals, I choose the growth of GDP as an indicator of the government’s policy success. But to briefly provide background on government policy tools; demand-side policies would include fiscal and monetary stimulus, as well as interest rate manipulation. Fiscal policies including taxation (changes in marginal tax-rate) and subsidizing of industries would all be considered supply-side. However, other fiscal methods such as issuing and buying up bonds affect aggregate demand. The demand-side policy effect I choose investigate is primarily Bank of Japan’s interest
rate because interest rate has a negative correlation to investment. Because Japan has a cultural tendency to save, increasing investment becomes increasingly important during economic downturns so that aggregate demand will be sustained by raising investment: Yd = C + I + G + (X – M) where C is consumption, I is investment, G is government spending, and (X-M) is the net export. I develop a comparative regression analysis using this data, interest rate adjustments, and that of private and public investment in order to discover if there are strong relationships between these factors.
Background Discussion: I chose to use the ordinary least squares regression model through the eviews program to see if there is a strong relationship between interest rate change and private/public investment. The OLS model is especially useful and accurate in predicting expected values of the dependent variable. Hayashi and Prescott (Review of Economic Dynamics 5(1):206-235, 2002) run simpler regression models in which they produce a cross section regression. However, they develop a more complex equation of the aggregate output function where they combined the results of their regression. But their main focus is to discover the relationship between aggregate production and the shortened work week implications i.e. hours worked per employee and aggregate employment.
Ceteris paribus, I view the relationship of investment to be positively correlated to aggregate demand: Yd r Ipub + Ipriv r Ratebank Therefore, I mimic the same regressions methods used by Hayashi and Prescott, OLS; however, because my data is in a time series, I ignore the stationarity hypothesis test and proceed with the OLS regression.
Regression Model: OLS model, which is mathematically explained by the following equation: S xy := ∑ x i2 −
1 (∑ yi )2 n
In my case: S ri := ∑ ri ii −
1 (∑ ri )(∑ ii ) where r = real gdp growth and i = investment, interest rate n
I determine the real GDP growth to be the dependent variable because of the framework: Yd = C + I + G + (X – M) where I = investment, keeping all other factors constant.
Data: Sources and Construction I use the information from the Japanese statistics bureau, a division of the Ministry of Internal Affairs and Communications as my primary data source. Ultimately I take GDP growth change to be the dependent variable, as well as the ‘measurement’ for the effectiveness of each government policy alteration. A few adjustments were made to the GDP growth rate so that it is
real GDP and also seasonally adjusted. Interest rate data from the Bank of Japan was initially downloaded to contain monthly data; I refitted the data to quarterly, taking the lowest interest value of each quarter to be significant because in the economic downturn, the government aims to increase credit flow by lowering interest rate as much as possible. I took data available from the official Bank of Japan website. The private and public investment data had been left as-is. The statistics were taken from the Cabinet office of Japan website official statistics page that can be found here: http://www.esri.cao.go.jp/en/sna/qe084-2/gdemenuea.html.
Empirical Results: Dependent Variable: REALGDP Method: Least Squares Date: 03/29/09 Time: 10:45 Sample: 1994Q1 2000Q4 Included observations: 28 Variable C BA4KRATE R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood Durbin-Watson stat
Coefficie nt
Std. Error
t-Statistic
Prob.
519235.1 15903.93
3935.536
131.9351
0.0000
2019.718
-7.874335
0.0000
0.704563 0.693200 6303.679 1.03E+09 283.6616 0.466860
Mean dependent var S.D. dependent var Akaike info criterion Schwarz criterion
489699.2 11380.63 20.40440 20.49956
F-statistic Prob(F-statistic)
62.00515 0.000000
Dependent Variable: REALGDP Method: Least Squares Date: 03/29/09 Time: 10:58 Sample: 1994Q1 2000Q4 Included observations: 28 Variable C PRIV_I4VEST PUB_I4VEST R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood Durbin-Watson stat
Coefficie nt
Std. Error
t-Statistic
Prob.
541478.6 1.480922 1.406301
31590.57 0.963323
17.14051 1.537306
0.0000 0.1368
0.831727
-1.690821
0.1033
0.178335 0.112602 10720.76 2.87E+09 297.9819 0.214283
Mean dependent var S.D. dependent var Akaike info criterion Schwarz criterion
489699.2 11380.63 21.49871 21.64144
F-statistic Prob(F-statistic)
2.713021 0.085838
Dependent Variable: PRIV_I4VEST Method: Least Squares Date: 03/29/09 Time: 11:01 Sample: 1994Q1 2000Q4 Included observations: 28 Variable C BA4KRATE R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood Durbin-Watson stat
Coefficie nt
Std. Error
t-Statistic
Prob.
1388.426 223.5503
1360.918
1.020213
0.3170
698.4232
-0.320079
0.7515
0.003925 0.034386 2179.827 1.24E+08 253.9288 0.739380
Mean dependent var
973.2607
S.D. dependent var Akaike info criterion Schwarz criterion
2143.289 18.28063 18.37579
F-statistic Prob(F-statistic)
0.102450 0.751467
Conclusion: Empirical results show that there is weak relationship between bank interest rate adjustment and private investment. This result seems anomalous because theoretically and logically there should exist a negative relationship between lowered interest rates and increased aptness to invest. My hypothesis becomes disproved by further multiple regression testing between the relationship of private and public investment to real GDP. According to the R2 values, and ignoring the t-statistic because the sample size is smaller than 30, the probabilities of bank rate having a relationship with GDP growth is insignificant at the 5% level. However, at first glance there seems to be moderate correlation between interest rate adjustment and real GDP growth. I believe this creates the false impression that these factors may be directly related. In theory, interest rates affect investment, which in turn contribute to GDP. However, there proves to be barely any relationship between the government’s interest rate policy and private investment. This leads to other possible studies about the efficacy of interest rate adjustment. Also, it suggests that there is indeed a supply-side economic problem of low productivity.
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