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Inflation Signals and
Inflation Noise
William Poole*
President, Federal Reserve Bank of St. Louis
University of Arkansas at Little Rock
Peabody Hotel
Little Rock, Ark.
April 6, 2004
*I appreciate comments provided by my colleagues
at the Federal Reserve Bank of St. Louis. Robert H. Rasche, Senior
Vice President and Director of Research, provided special assistance.
I take full responsibility for errors. The views expressed are mine
and do not necessarily reflect official positions of the Federal
Reserve System.
Inflation Signals and Inflation Noise
The employment report for March, released last Friday
and showing a jobs gain of 308,000 over February, was certainly
good news. Everyone hopes that monthly reports over the rest of
this year and for years to come will also bring good news on the
employment front.
Assuming that employment gains continue, market focus
will naturally shift from employment to concerns over inflation
risks. Indeed, some market commentary already has shifted in that
direction. My purpose today is to provide my perspective on the
problem policymakers face in determining when inflation risks are
rising.
Before proceeding, I want to emphasize that the views
I express here are mine and do not necessarily reflect official
positions of the Federal Reserve System. I thank my colleagues at
the Federal Reserve Bank of St. Louis for their comments; Robert
H. Rasche, Senior Vice President and Director of Research, provided
special assistance. However, I retain full responsibility for errors.
Background
In the four decades since the beginning of the Great Inflation
of the 1960s and 70s, economists and central bankers have acquired
a much better understanding of the source and consequences of inflation.
When the Great Inflation began, it was common to cite one or another
idiosyncratic events as the driving force behind the observed change
in prices: OPEC, steel prices, anchovies and forth. Anchovies? Few
today will understand this reference, so I’ll have to explain
that some analysts argued that the disappearance of anchovies from
the coast of Peru in 1972 had something to do with rising inflation
in 1973. Today, however, economists universally accept the proposition
that sustained inflation or deflation is, in the words of Milton
Friedman, “everywhere and always a monetary phenomenon.”
The experience of the Great Inflation brought home to the public
and policymakers alike the burden that inflation imposes on an economy.
In the absence of institutions adapted to an inflationary environment,
the efficiency of market prices to signal the relative scarcity
of goods and services is impaired. Incomes and wealth are redistributed
capriciously, even when the inflation is partially foreseen, in
a tax system that is not fully indexed. Regulations on nominal interest
rates, such as deposit ceilings and usury laws, interact with the
inflation rate to distort demand in certain sectors such as housing.
Some financial institutions, such as the thrifts that specialized
in housing finance were driven towards extinction. It is possible,
though the evidence is not conclusive, that even modest sustained
inflation negatively impacts the rate of growth of labor productivity.
Central bankers world-wide have taken these lessons to heart.
Since the initial inflation targeting experiment by the Reserve
Bank of New Zealand in 1990, thought at the time to be radical,
inflation targeting has become the stated objective of at least
11 central banks, including those of developed and developing countries.
These central banks publish either a numeric value, or a range of
values, to which they commit as an inflation policy objective over
some time horizon. For most of these central banks, achieving the
inflation target is, under normal market conditions, the single
policy objective. For these policymakers, the idea, embodied in
the original Phillips Curve analyses, that it is possible to permanently
trade-off a lower unemployment rate or a higher level of real output
for a higher rate of inflation has been relegated to the textbooks
on the history of economic thought.
Other central banks, including the Federal Reserve, have declined
to quantify their inflation objective. Nevertheless, most, if not
all of these institutions acknowledge their primary responsibility
to produce a low and stable inflation environment. In the case of
the Federal Reserve, the FOMC has stated as its policy objective
to achieve price stability in order to achieve maximum sustainable
economic growth, thereby fulfilling its dual legislated mandate
under the Humphrey-Hawkins Act.
The FOMC has never defined “price stability” numerically,
but its commitment to price stability is not in doubt. I have indicated
on several occasions that my own inflation target is zero, properly
measured. Because all our measures of inflation have some upward
bias, my definition of price stability is consistent with a small
positive measured rate of inflation. Our recent inflation experience
is, I believe, a good approximation of price stability.
The policy problem faced by the FOMC, and many other central bankers,
today is significantly different from that 25 years ago. By the
late 1970s, the inflation rate in the United States had become unacceptably
high—both for the FOMC and for the public in general. There
was disagreement in the economics profession as to whether the costs
of disinflationary monetary policy were worth bearing, but the FOMC
concluded that a more disciplined monetary policy was necessary.
The decisive date was October 6, 1979, when the FOMC decided to
adopt the “New Operating Procedures.” Subsequently,
the FOMC permitted the federal funds rate to exceed 20 percent.
With the tighter monetary policy and changing inflation expectations
in the market, the economy experienced a severe recession in 1981-2.
Measuring inflation by 12-month changes in the Consumer Price
Index (CPI), inflation fell from a peak of 13.3 percent in 1979
to 3.8 percent in 1982, and remained in the neighborhood of 4 percent
into the mid 1980s. Inflation rose a bit in the late 1980s, and
reached 6.1 percent in 1990, in the face of the oil shock that accompanied
Iraq’s invasion of Kuwait.
In the early 1990s, the consensus was that the economy had not
returned to price stability. Any substantial risk that inflation
might rise was clearly undesirable and necessitated a policy response.
But over the course of the 1990s, inflation was flat to gradually
falling, and with further declines in the early part of this decade
most observers concluded that the battle for price stability had
been won.
Policy discussions today must consider two-sided outcomes—the
risks to price stability are symmetric. A significant breakout of
inflation above our current situation is certainly not desirable—no
one wants to throw away the hard-earned accomplishments of the past
25 years. However, a significant decline in inflation from current
rates may not be desirable either—no one wants to replicate
the deflationary experiences of the 1930s or Japan’s experience
in the 1990s. The consensus of the FOMC, as reflected in the most
recent press release, is that the upside and downside risks to inflation
are almost balanced.
When the primary battle against inflation started in 1979, there
was a strong case for paying great attention to the rate of money
growth as a measure of the thrust of monetary policy. Money growth
is not irrelevant to assessing inflation risks today, but the emphasis
has changed. For a variety of reasons, and especially because expectations
of low inflation are so entrenched in the markets, short-run money
growth is an inadequate indicator for monetary policy purposes.
What we need to do instead is to extract as best we can evidence
of possible inflationary pressures from a variety of other sources
of information.
Transitory and Permanent Changes in Prices
How can we best read the “news” in the price data
that become available every month? The problem is to uncover information
that might indicate that a higher rate of sustained inflation could
be at hand. The FOMC should respond to the signal and not to the
noise in the data. Separating inflation signals from inflation noise
is a serious challenge.
Throughout most of the post World War II history in the United
States, inflation has been a highly persistent process. Nevertheless
there is a lot of random month-to-month variation in the measured
price indexes. It is this non-systematic variation that we call
“noise.” Somehow, policymakers have to look through
the “noise” to discern the signal about the underlying
trend in inflation in order to formulate appropriate policy actions.
This signal extraction problem is the rationale for the development
of a number of supplementary measures of inflation, beyond the broad-based
price indexes collected by the government statistical agencies.
In particular, in addition to the CPI and Personal Consumption Price
Index, “core” measures of inflation that exclude food
and energy prices are often highlighted.
In Monetary Policy Reports to Congress, Congressional testimony
and public speeches, Chairman Greenspan and other members of the
FOMC have focused on the core measure of the Personal Consumption
Price Index. The rationale for the construction of the core measures
of inflation is not that food and energy are unimportant items of
household consumption. The core measures came to prominence in the
1970s when food and energy prices were extremely volatile. Under
those conditions the core inflation measures likely provided helpful
filters through which to discern a signal of the inflation trend.
Removing these components removes a source of short-run noise that
can obscure underlying price developments.
Another approach to identifying the signal is the median CPI index.
The Federal Reserve Bank of Cleveland publishes such an index(1).
The median CPI, by construction, will exclude any CPI component
price index that is highly volatile in the short run, as this component
inflation rate will typically appear in one of the tails of the
cross-section dispersion of the inflation rates of the CPI components.
I must confess that I am uncomfortable with arbitrarily defined
filters. Filtering of transitory shocks where the shocks are understood
and can be identified is clearly appropriate. An example is the
increase in tobacco prices following the legal settlement with the
major tobacco companies several years ago. It was well understood
that this was a one-time increase in tobacco prices that would finance
the funds established as part of the settlement. It was possible
to estimate the impact of those price changes on the overall CPI
and most economists filtered this impact out in order to assess
the inflation signal at the time.
Absent specific information on which to base estimates of “inflation
noise,” care must be taken to assure that the techniques used
to filter transitory inflation are robust. The late Karl Brunner
used to criticize the “upper tail theory of inflation”—that
inflation is caused by the increases in the prices of those items
that happened to be rising the fastest at any point in time. If
these “upper tail” rates of inflation are filtered out
of the inflation measure, then there can be no inflation! Clearly
arbitrary filtering can be used to define away substantive problems.
I believe that additional research into defining and extracting
inflation trends has the potential to provide valuable insights
to monetary policymakers.
Though the evidence suggests that U.S. inflation in the second
half of the twentieth century was a highly persistent process, it
is possible that the observed persistence may result from the way
that monetary policy was implemented. Unlike organized asset markets,
where economic theories suggest that price changes should approximate
a random walk, there is no strong theoretical basis for highly persistent
inflation rates. Recent research suggests that the persistence of
inflation in the U.S. has diminished since the mid 1980s.(2)
Economic historians who study the gold standard period conclude
that inflation in various countries was much less persistent during
that period than in the twentieth century. The lesson for those
trying to separate inflation signals from inflation noise is that
the filters may not be robust to changes in monetary policy regimes.
Forecasting Inflation
A critical question for all central bankers, and the FOMC in particular
at the present time, is how inflation will evolve in the near future.
Are near-term inflationary (or deflationary) pressures really quiescent?
The answer to this question requires a forecasting model, or alternatively
a set of leading indicators of inflation.
Supply Chain Theories of Inflation. One view
that currently is receiving considerable attention is what I will
label the “supply chain theory of inflation.” Proponents
of this view characterize inflation shocks as originating in raw
materials markets and subsequently transmitted through intermediate
products to finished products and finally to consumer prices. From
this perspective, inflation of commodity prices is a leading indicator
of PPI inflation which in turn is a leading indicator of consumer
price inflation.
To proponents of the supply chain view, rapid inflation in scrap
steel prices and other basic commodity prices in the past six months
is a cause of significant concern. Last month, a Wall Street
Journal article reported that some firms are passing along
materials price increases. “Indeed a handful of companies—among
them makers of mattresses and gym equipment—already has or
are preparing to ask shoppers to pay more to cover their rising
steel costs. But most other manufacturers are trying to push steel-price
jumps of up to 30% to 50% to other companies along the supply chain,
creating tension between steel producers, their biggest customers
and numerous smaller suppliers between them.”(3)
Similar concerns are often expressed about the depreciation of the
dollar against the currencies of our major trading partners as a
source of CPI inflation directly through the price of imported goods
or indirectly through induced price changes on domestically produced
goods that compete with imports.
Without question, individual firms often do pass along increases
in prices of their inputs. The issue is whether this phenomenon
is general enough to explain overall inflation. Undoubtedly there
are times during which inflation shocks are transmitted through
such mechanisms. However such forces are not universal. Automobile
manufacturers, faced with weak demand in recent years have effectively
cut retail prices through incentive programs, discounts, rebates
and zero interest financing. In this environment, they have demanded
and obtained substantial price concessions from their suppliers.
In this case, downward price pressures have been transmitted backward
through the supply chain starting from retail markets rather than
forward from commodity markets.
Backward and forward price pressures can exist at the same time.
The forward pressures have been visible recently in some industries,
but backward pressures have been evident for several years and seem
less newsworthy at present. Competitive forces can frustrate efforts
to push increased input costs up the supply chain. The Wall
Street Journal, also in an article last month, reported that
airlines, facing substantial increases in jet fuel prices “have
made at least 12 attempts to boost airfares in the past 2½
months alone. But most of the efforts have failed to stick, and
increasingly the spoiler has been one or more budget-price airlines,
which see a chance in the current squeeze to extend their market
shares.”(4) In this case competition
in consumer markets is limiting the transmission of price pressures
through the supply chain.
Nor are exchange rate depreciations necessarily leading indicators
of price changes at the retail level. First, the U.S. remains a
relatively closed economy with a large fraction of the goods and
services consumed here produced domestically. Second, research indicates
that the “pass-through” of exchange rate fluctuations
is not instantaneous, complete or constant.(5)
There are several ways to test the idea that inflation at an earlier
stage of processing feeds into inflation at a latter stage. Consider
a statistical equation in which we try to explain monthly CPI inflation
from the Producer Price Index. The Consumer Price Index is an index
of retail prices. The PPI, which used to be called the “Wholesale
Price Index,” is an index of prices at an earlier stage of
production. The equation employs two groups of explanatory variables.
The first group consists of the previous 12 months of CPI inflation.
We include the CPI history because we want to determine the contribution
of the PPI over and above the contribution of the CPI history itself.
The second group consists of the contemporaneous and previous 12
months inflation of the PPI price index for finished goods.
Most of the predictive value is in the contemporaneous PPI term
and the lagged CPI inflation terms. The fact that the contemporaneous
CPI and PPI inflation rates move together is a consequence of inflation
shocks that affect prices at all stages of processing at the same
time.(6) The twelve lagged PPI variables
account for only 11 percent of the variance in the CPI inflation
not attributable to the contemporaneous PPI inflation and the history
of CPI inflation itself. Thus, we simply do not observe PPI inflation
being passed along over time into the CPI to any significant degree.
Another approach to testing the supply-chain theory of inflation
is to examine the relationship between various stages of processing
in the PPI. It turns out that the lead/lag relationship for the
PPI stage of processing is even weaker than that for the PPI and
CPI. Consider the statistical equation explaining PPI inflation
for finished goods using the history of finished goods inflation
and the current and previous 12 months inflation of the PPI inflation
for intermediate products. The intermediate products inflation adds
less than one percent to the predictive value of the equation. Using
the same approach to explain the inflation rate for the PPI for
intermediate products, we find that inflation in the PPI index for
crude materials adds only four percent to the predictive value of
the equation.
To summarize this discussion, although it may seem logical that
increases in crude materials prices, such as petroleum, would feed
forward into semi finished goods and then forward again to finished
goods, in fact the inflation process does not work this way. Depending
on conditions in individual markets, sometimes inflation does feed
forward, but sometimes it feeds back. We just cannot reliably conclude
that today’s materials prices inflation will be tomorrow’s
finished goods inflation.
“Gap” Theories of Inflation. Another
popular framework in which to analyze the transmission of inflation
is the “gap” model. Various implementations of this
model are rooted in the expectations-augmented Phillips curve. A
typical empirical representation of this framework postulates that
the inflation rate is determined by inflation expectations, current
and lagged values of a “gap measure,” current and lagged
“supply shocks” and undetermined residual factors. In
these equations, a common specification of supply shocks includes
changes in the relative prices of food and energy, changes in relative
import prices, and “productivity shocks.” “Gaps”
typically are measured as the difference between real GDP and a
measure of “potential GDP” such as that constructed
by the Congressional Budget Office, or by the deviation of the unemployment
rate from an estimated equilibrium unemployment rate.(7)
There are several tricky parts of such analyses; one is uncertainty
over the level of potential GDP or of the equilibrium unemployment
rate. Another is obtaining a reliable measure, or proxy, for the
expected rate of inflation. To measure expected inflation, one of
two approaches is frequently applied. The first is to represent
expected inflation as a weighted average of past observed rates
of inflation. The alternative approach is to embed the gap equation
within a model of the entire economy and to equate expectations
of future inflation with the model based forecasts of inflation.(8)
Recent research at the Federal Reserve Bank of St. Louis shows
that with several different models of expected inflation, including
the lagged inflation proxy, neither the “gap” term nor
the “supply shock” terms account for the major movements
in the rate of inflation. The expected inflation term trumps the
other factors as the major moving force in the U.S. inflation history.
Forecasting Inflation—Empirical Evidence
In 1999 James Stock and Mark Watson published an exhaustive study
of models for forecasting inflation.(9)
The focus of their analysis was forecasts of inflation on a twelve-month
horizon. They started their analysis with “conventional specifications
of the Phillips Curve” that related the change in the inflation
rate to past values of an unemployment gap measure, past changes
of inflation and current and past values of various measures of
“supply shocks”—the type of specification discussed
above.
Stock and Watson reached several conclusions: 1) In out-of-sample
forecasts the various supply shock measures did not improve the
forecasting performance of their models; 2) while the estimated
relationship between changes in the inflation rate and current and
past changes in inflation and unemployment fail statistical tests
for stability, in economic terms the relationship is robust, 3)
alternative measures of real economic activity generate more accurate
forecasts than do equations with the unemployment rate 4) the addition
of interest rates and interest rate spreads fails to improve the
forecasting performance of the estimated model, 4) commodity prices
do not improve inflation forecasts and 5) forecasts using the unemployment
rate outperform simple models using only lagged changes in inflation,
but the gain in forecasting accuracy is relatively small. Their
analysis is wide ranging covering a total of 168 economic indicators.
An overall assessment of their results is that our ability to deliver
significantly more accurate forecasts of inflation beyond those
that can be generated from the history of inflation itself is quite
limited.
Anchoring Inflation Expectations
How is a monetary policymaker to interpret the above conclusions?
One possible reaction would be despair—it is close to impossible
to discern that near future inflation will differ systematically
from recent past inflation and society will just have to live, at
least for a while, with recent history.
I have an optimistic alternative interpretation of the available
data and research results. My conclusion is that the unfolding inflationary
experience is most strongly anchored by how the public and financial
market participants expect inflation to evolve. Well designed and
articulated policy under such conditions can produce great outcomes.
However, badly designed policies under the same conditions can produce
disasters!
If my characterization of the importance of inflationary expectations
as a determinant of inflation is correct, then there are important
lessons for monetary policymakers. In an economy that works this
way, it is essential that the central bank clearly articulate its
inflation objectives, and have this message regarded as highly credible.
If a central bank is committed to a low-inflation environment, and
that commitment is credible, then the general public will believe
future inflation will be low. Under these circumstances the economy
has a strong external nominal anchor. That nominal anchor generates
behavior by buyers and sellers that produces low and stable realized
inflation. In recent vernacular, at any given time few firms in
the economy have any “pricing power.”
In this type of economy, if the central bank fails to articulate
an inflation objective, or if it lacks credibility with the public
that the stated objective will be pursued, then the downside risk
to the economy is enormous. Environments in which expectations are
not anchored externally are inherently unstable. We observe this
behavior in asset markets when, for reasons that are not well understood,
“bubbles” develop. Reality chases expectations, which
in turn chase reality. Events are determined by “inflationary
psychologies.” Prices follow explosive paths, either upward
or downward, for a time.
Within a few weeks of the dramatic change in policy direction
in 1979, Chairman Volcker testified before Congress on the FOMC’s
new operating procedures. Market expectations played a prominent
role in his thinking. “The clear and present danger was that
failure to deal with inflation and inflationary expectations would
in time produce more—not less—economic instability,
ultimately with higher prices and greater unemployment. In that
setting, the priority for policy was decisive action to deal with
inflationary pressures and to defuse the dangerous expectational
forces that were jeopardizing the orderly function of financial
and commodity markets.”(10)
Concluding Comment
The FOMC is unavoidably in a situation of having to apply its best
judgment to a variety of economic indicators of possible inflationary
pressure. I’ve not discussed today a range of information
on inflation pressures, which include the rate of productivity growth,
the rate of increase in unit labor costs, measures of wage inflation
anecdotal reports from business firms on the inflation environment
they see. Instead, I hope I’ve convinced you that there is
no regular and reliable relationship between inflation in materials
prices or goods at an early stage of processing and retail price
inflation.
Of critical importance to maintaining low and stable inflation
is the FOMC’s commitment to act aggressively when inflation
risks change, either up or down. That commitment anchors market
expectations of long-run inflation, and makes the economy more robust
to short-run inflation shocks. Short-run disturbances do not automatically
get built into inflation, which helps to dampen the impacts on the
economy of inflation shocks.
This stable environment also helps the FOMC to avoid mistakes.
Above all, we do not want to respond to inflation noise, which would
add further instability to the economy. Extracting the inflation
signal, and responding to it, is what we try to do.
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Footnotes
- Each month’s release can be found at http://www.clevelandfed.org/research/data/mcpipr.htm.
- See T. Cogley and T. Sargent, “Evolving Post-World War
II U.S. Inflation Dynamics,” NBER Macroeconomics Annual,
2001, pp. 331-372 and A. Levin and J. Piger, “Is Inflation
Persistence Intrinsic in Industrial Countries?” Federal
Reserve Bank of St. Louis Working Paper 2002-023.
- “Companies Fight Rising Steel Prices,” Wall
Street Journal, March 8, 2003 p. A3.
- “Growing Heft Puts Budget Airlines in the Pilot’s
Seat,” Wall Street Journal, March 29, 2004 p. A1.
- See P.K. Goldberg and M.M. Knetter, “Goods Prices and
Exchange Rates: What have we Learned?” Journal of Economic
Literature, 35(3), 1997, pp. 316-324 and P.S. Pollard and
C.C. Coughlin, “Size Matters: Asymmetric Exchange Rate Pass-Through
at the Industry Level,” Federal Reserve Bank of St. Louis
Working Paper 2003-029B.
- The simple correlation between monthly percentage changes of
the PPI crude materials price index and the PPI intermediate products
price index is 0.48; between percentage changes in the PPI intermediate
products price index and the PPI finished products price index
is 0.74 and between percentage changes in the PPI finished products
price index and the CPI is 0.64 over the period March 1948 through
December 2003.
- Robert J. Gordon has authored numerous studies applying this
framework.
- R. Clarida, J. Gali and M. Gertler, “The Science of Monetary
Policy: A New Keynesian Perspective,” Journal of Economic
Literature, 37(4), December 1999, pp. 1661-1704.
- J.H. Stock and M.W. Watson, “Forecasting Inflation,”
Journal of Monetary Economics, 44 (1999), pp. 293-335.
- Statement by Paul A. Volcker before the Subcommittees on Domestic
Monetary Policy and on International Trade, Investment and Monetary
Policy of the Committee on Banking, Finance and Urban Affairs,
U.S. House of Representatives, November 13, 1979, Federal
Reserve Bulletin, December, 1979, p. 959.
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