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I will not keep you in suspense. I believe that the greater risk for the global
economy in general and the U.S. economy in particular is inflation, not deflation.
I arrive at this conclusion both on secular and cyclical grounds.
Secular Factors
Let us begin by discussing the secular issues. In the U.S., the Great Inflation
of the mid 1970s to early 1980s was counteracted by absolutely and relatively
high inflation-adjusted federal funds rates initiated by former Fed Chairman
Paul Volcker (see Chart 1). These high inflation-adjusted federal funds rates
helped bring down actual inflation as well as inflation expectations (see Chart
2). As shown in Chart 1, in recent years the inflation-adjusted federal funds
rate has been unusually low. This could be a factor that might lead to rising
inflation expectations if investors view the level of the inflation-adjusted
federal funds rate as a proxy for the Fed's anti-inflation resolve.
Chart 1

Chart 2

Another important secular disinflationary factor was the significant increase
in U.S. labor productivity growth that commenced in the mid 1990s. To a large
degree, this step up in productivity growth was the result of the implementation
of information technologies developed in the 1980s. But, as shown in Chart
3, the productivity boom appears to be over for now.
Chart 3

Coinciding with the productivity boom was a large increase in the potential
global supply of goods and services resulting from emerging economies, especially
the Chinese and Indian economies, becoming significantly more integrated in
the global trading system. This rightward shift in the global supply curve
for goods and services imparted a strong disinflationary impulse to the global
economy. As shown in Chart 4, the GDP of Asian emerging economies rose from
about 7% of world GDP in 1990 to over 14% of world GDP in 2007. Similarly,
U.S. combined goods imports from China, India and South America went from about
10% of its total imports in 1990 to 25% of its total imports in 2008 (see Chart
5). Although the share of global GDP contributed by emerging economies is sure
to grow in the next 10 years, will this share grow as rapidly in the next 10
years as it did in the past 10 years? If not, this secular disinflationary
factor will diminish in magnitude.
Chart 4

Chart 5

I would argue that government defense spending has a larger inflationary bias
than many other types of government spending inasmuch as the public cannot
directly consume defense production. Let me give an illustration. Suppose a
motor vehicle plant and workers are used to produce automobiles. The assembly
line workers can use their wage and salary income to purchase what they produce
- automobiles. But if the plant and workers are used to produce army tanks,
the assembly line workers are unable to purchase with their wage and salary
income what they now produce. Unless real interest rates are allowed to increase
to encourage saving on the part of the defense-plant assembly workers, inflation
is likely to increase as these workers bid for a reduced available supply of
goods and services available for private consumption.
I bring this up because with the winding down of the Cold War in the late
1980s, U.S. defense expenditures in absolute as well as a relative terms began
falling precipitously (see Chart 6). However, after the September 11, 2001
attacks on the U.S. homeland, defense expenditures are on the rise again. Although
their growth rate may slow as the U.S. military involvement in Iraq is reduced,
it is doubtful that defense expenditures will decline as they did after the
end of the Cold War. Thus, another secular force for disinflation is eroding.
Chart 6

Diminished inflation expectations, a surge in productivity, the integration
of emerging economies into the global trading system and reduced U.S. defense
expenditures were secular forces that combined to bring down U.S. and global
inflation in the past 15 to 20 years.
Neither Secular nor Cyclical Factors
There are two other factors, lying somewhere between secular and cyclical,
that also might have served to hold down inflation. The first factor was Japan's "lost
decade." As shown in Chart 7, in the ten years ended 1991, Japanese industrial
production grew at a compound annual rate of 4.0%; in the ten years ended 2001,
industrial production contracted at an annual rate of 0.9%. This meant
that in the ten years ended 2001, one of the largest industrialized economies
had a much diminished demand for industrial commodities, which undoubtedly
held down the prices of industrial commodities in particular as well as global
inflation in general.
Chart 7

Lastly, in the run-up to the creation of the euro, in order to gain membership
in the euro "club," some hitherto profligate government spenders temporarily
developed fiscal prudence, at least on a relative basis. For example, Belgium,
whose government debt was 121% of its GDP in 1993, declined to 104% of GDP
by 1999 and fell further to 85% in 2006 (see Chart 8). However, the downward
trend in the ratio of Belgian government debt-to-GDP appears to have reversed,
as evidenced by increase to 90% in 2008. This newfound fiscal rectitude by
Belgium and other euro "wannabes" likely took some pressure off interest rates
in these economies and, thus, relieved some pressure on pre-ECB central banks
to create credit. To the degree that Belgium is representative of diminishing
fiscal discipline in the euro-zone, the ECB printing press could be revved
up.
Chart 8

Speaking of fiscal profligacy, I would be remiss in not mentioning the U.S.,
the largest net debtor economy in the world. Chart 9 shows that total federal
government debt, including debt owed to other government entities such as the
Social Security Trust Fund by the Treasury, will rise from 70% of GDP in 2008
to 101% of GDP in 2011 and remains near 100% of GDP through 2019. Bear in mind,
these projections of public debt-to-GDP ratios were made by the Obama administration's
Office of Management and Budget rather than the nonpartisan Congressional Budget
Office. So, a cynical person might think that these projections are on the
low side. Again, given that the U.S. is a net debtor economy and given that
all U.S. government debt is denominated in U.S. dollars, there will be
a temptation to relieve real debt-service burdens on U.S. residents
by "encouraging" the Federal Reserve to err on the side of creating some inflation
rather than deflation.
Chart 9

So, these are some secular factors that had been imparting disinflationary
impulses to the U.S. and global economies and now are reversing in the direction
of inflationary impulses.
Cyclical Factors
Now, let's discuss some cyclical factors that will bear on the inflation outlook.
These factors will be restricted to the U.S. economy because this is the economy
for which the bulk of my empirical cyclical research is concentrated.
Mainstream economists tend to concentrate on the so-called output gap as the
key determinant of the inflation outlook. The output gap is related to the
difference between the current and projected levels of actual real GDP
and the current and projected levels of potential real GDP. Typically,
the output gap is defined as the absolute difference between actual and potential
real GDP as a percent of potential real GDP. According to this view, the larger
the output gap, the larger should be the inflationary impulse. Thus, the output
gap and inflation would be expected to be positively correlated. Chart
10 shows a history of the percentage output gap plus Congressional Budget Office
estimates for the years 2009 through 2012.
Chart 10

Chart 11 shows the coincident relationship
between the real percentage output gap (using the Congressional Budget Office's
estimates of potential real GDP) and the inflation rates as defined by the
chain-price index for personal consumption expenditures. Not only is the absolute level
of the correlation coefficient between the two series low at 0.27, but more
importantly, the sign is negative, not positive, as hypothesized.
But it is reasonable to assume that there are lags involved between the output
gap and inflation. The highest positive correlation between the two
series is 0.08 when the output gap leads inflation by two years. Using
this admittedly crude analysis, it seems as though the output gap is not a
very good guide to the cyclical behavior of inflation.
Chart 11

The behavior of inflation in the 1930s provides additional evidence as to
the shortcomings of the output gap as a good predictor of inflation. I estimated
potential real GDP for the years 1930 through 1936 by assuming 3 percent compound
annual growth ( the actual annual compound growth rate in real GDP in the 28
years ended 1929) from the 1929 level of real GDP. The inflation rate, as measured
by the percent change in the average annual personal consumption expenditure
chain-price index, went from minus 3.6% in 1933 to plus 4.6%
in 1934. The real output gap in 1934 was 29.8%; the real output gap advanced
by two years, i.e., the real output gap in 1932 was 31.9%. In sum, as shown
in Chart 12, the output gap was a poor predictor of U.S. inflation in the early
1930s.
Chart 12

Some economists lurking in the tributaries as opposed to the mainstream, continue
to hew to the Milton Friedman hypothesis that inflation is a monetary phenomenon.
There is more compelling evidence in the postwar era supporting the Friedman
hypothesis than the output gap hypothesis. In the 1960 through 2008 period,
the M2 money supply growth advanced by three years has a positive (as
expected) correlation coefficient with inflation of 0.64 (see Chart 13). In
the first four months of 2009, the average level of M2 was 7.3% higher than
the annual average for 2008. During the early 1930s, the highest positive correlation
between the M2 money supply growth and inflation was 0.84 with M2 growth coincident to
inflation (see Chart 14).
Chart 13

Chart 14

Another candidate to explain future inflation might be the behavior of the
foreign exchange rate. The hypothesis would be that as the U.S .dollar appreciates
relative to other currencies, with a lag, U.S. inflationary pressures would
moderate. Thus, we would expect to see a negative correlation between
lagged exchanges rates expressed as foreign currency-to-dollar and U.S. inflation.
I have chosen the Swiss franc-to-dollar as the foreign exchange rate variable
because it correlates well with the euro but has a longer history. Chart 15
shows that the highest negative correlation, 0.44, is obtained when
the percentage change in this exchange rate is advanced by two years.
Chart 15

Let's use these three variables - the real percentage output gap, the M2 money
supply growth and the percentage change in the Swiss franc-to-dollar exchange
rate to predict U.S. inflation over the next two years. To do this, I have
estimated an equation using an ordinary-least-squares equation. Testing different
lags for the independent variables and adjusting for serial correlation, the "best" equation
has M2 growth advanced by two years, the output gap advanced by one year and
the Swiss franc advanced by two years (see table below). A graph of the actual
inflation rate vs. its estimated value by the equation in Table 1 is shown
in Chart 16.
Dependent Variable: PCEPYY |
Method: Least Squares |
Date: 05/29/09 Time: 14:17 |
Sample(adjusted): 1964 2008 |
Included observations: 45 after adjusting endpoints |
Convergence achieved after 8 iterations |
|
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
M2YY(-3) |
0.195953 |
0.073687 |
2.659259 |
0.0112 |
GAPPCT(-1) |
0.098952 |
0.035762 |
2.766947 |
0.0085 |
C |
2.708551 |
1.366108 |
1.982678 |
0.0543 |
SFYY(-2) |
-0.035125 |
0.014337 |
-2.449984 |
0.0188 |
AR(1) |
0.875364 |
0.078030 |
11.21830 |
0.0000 |
|
R-squared |
0.830625 |
Mean dependent var |
3.954000 |
Adjusted R-squared |
0.813688 |
S.D. dependent var |
2.400358 |
S.E. of regression |
1.036088 |
Akaike info criterion |
3.013221 |
Sum squared resid |
42.93915 |
Schwarz criterion |
3.213961 |
Log likelihood |
-62.79747 |
F-statistic |
49.04068 |
Durbin-Watson stat |
1.763576 |
Prob(F-statistic) |
0.000000 |
|
Inverted AR Roots |
.88 |
|
Chart 16

In 2008, the annual average change in the chain-price index for personal consumption
expenditures was 3.35%. Using the estimated equation to forecast this inflation
measure yields forecasts of 3.57%, 3.60% and 3.46% for the years 2009, 2010
and 2011, respectively (see Chart 17). It is highly unlikely that annual average
inflation in 2009 will be higher than that of 2008. For example, the price
index in Q1:2009 was 0.3% below the 2008 annual average. But the main
point of this exercise is to demonstrate that even with relatively large output
gaps in the near term, other factors point to, at least, continued inflation
in the neighborhood of what has been experienced in recent years rather than
persistently very low inflation or outright deflation. With the reversal of
the aforementioned secular disinflationary factors in combination with cyclical
factors such as relatively high money growth and the potential for a depreciating
U.S. dollar, it seems to me that over the next five years inflation rather
than deflation is the greater risk.
Chart 17

Paul Kasriel is the recipient of the
2006 Lawrence R. Klein Award for Blue Chip Forecasting Accuracy
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