speeches · December 20, 1979
Regional President Speech
Mark H. Willes · President
December 21, 1979
Rational Expectations as a Counterrevolution
Mark H. Willes, President
Federal Reserve Bank of Minneapolis
If there is a crisis in economic theory, it is a crisis in Keynesian economic
theory. Most economists, even the Keynesians, seem to agree that there are at least
some defects in this theory, although they may disagree passionately about what those
defects are and how they should be remedied. Until the early 1970s, the economists who
opposed the Keynesians had to be content with pulling a few fish off of their opponents'
hooks. But when the theory of rational expectations began to be developed, these
economists found that they could simply dynamite all the fish in the lake. While this may
be unsportsman-like, it does demonstrate an admirable grasp of fundamentals. Today, to
continue the metaphor, a fleet of stunned Keynesians is quibbling about which of their few
remaining fish are still flopping.
I know how they feel, for I once believed in conventional, Keynesian theory
and the economic models based on it. Now, however, I am persuaded that this theory is
fundamentally wrong, so wrong that it can never yield models valid for evaluating policy.
Although rational expectations theory is still in its infancy, it has already devastated
conventional theory and appears to offer a promising alternative to it.
In the beginning: classical economics. Rational expectations can be under
stood as an attempt to apply the principles of classical economics to all economic
problems and specifically to macroeconomic policy. Although the basic classical premise
has long been agreed upon by nearly all economists, it has never before been seriously
applied to macroeconomic policymaking. Rational expectations, then, is a new classical
economics.
Classical economics, which dominated economic method in the first part of
this century, is built upon two key premises. The basic one, seldom disputed, is that
individuals optimize. In other words, the model's economic agents—both firms and
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individuals—seek maximum expected profits or maximum expected utility, within the
limitations of their incomes and technologies. The second key premise of classical
economics, somewhat more controversial, is that markets clear. That is, in each market
the amount willingly offered equals the amount willingly bought at a particular price
unless legal strictures, discrepancies in information, or government policies prevent it.
Equilibrium to a classical economist means that these two premises hold. Equilibrium in
each product market means that, at existing prices, the quantities firms want to sell
exactly match the quantities consumers want to buy. In labor markets, similarly, at
existing wage rates, workers offer as many hours of labor as they want to offer, while
firms receive as much labor as they want to hire. Though simple, the classical premises
proved remarkably rich for building theory.
All of the early classical models, however, had tin important failing. They
implied that resources would always be fully employed, that there would never be
shortages or unemployment. This failing became obvious during the Great Depression,
when millions of people who wanted to work couldn't find jobs and the labor market
apparently was not clearing. The classical models of the 1930s could give no explanation
for this deep and prolonged depression. They couldn't even account for the existence of
ordinary business cycles.
Today, economists have two alternative ways of dealing with this early crisis
in economics—they can reject classical premises as the Keynesians have done, or they can
seek more coherent and sophisticated versions of the classical premises as the rational
expectations school has done.
The Keynesian revolution. To meet this crisis in economics, 3ohn Maynard
Keynes deliberately rejected the classical premises about the behavior of individuals and
markets. In their place he put premises about the behavior of aggregates, such as the
general price level and total unemployment. With these new premises, he was able to
build a model of an economy in which involuntary unemployment appeared—an economy
with a persistent disequilibrium in the labor market.
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Keynes' method of aggregate-level, disequilibrium modelling is the foundation
of macroeconomics, the branch of economics that has dictated economic policy since the
New Deal. The classical method of individual-level, equilibrium modelling has been
relegated exclusively to microeconomics, where it has had small opportunity to influence
macroeconomic policy. It is odd that these two branches of economics should be based on
incompatible theories and even odder that Keynesians should accept classical theories for
microeconomics but not for macroeconomics, but that is the case today.
Although many outstanding economists have continued to work with the
classical method, the Keynesian method has prevailed since the 1930s not only for
policymaking but for economic modelling. Even the monetarist school, which has
perceptively criticized macroeconomic policies, uses aggregate-level premises for its
models, just like the Keynesian school. Moreover, virtually all of the large-scale
macroeconomic models that businesses and governments use for planning, forecasting, and
decision making are, at root, Keynesian.
With the help of these models, economists once hoped to improve policy
making. In the early 1960s, when rapid advances in computer technology made highly
detailed models possible, many economists—I for one—believed that the government
could control business cycles by manipulating fiscal and monetary policies. We didn't
question whether government could accomplish this. We only wondered how to do it most
effectively. We asked, for instance, if monetary or fiscal policy produced the most
economic growth; we asked how long it took for policy actions to have their effects.
Despite these questions, though, we had faith that we could do almost magical things once
we properly modelled the economy's major relationships.
We believed that a model could be made to simulate the results of whatever
policies we were considering. In this way, we could see in advance what our policies
would do to the unemployment rate, the price level, or any other variable in the model.
Having a perfected model was like having a crystal ball. We could look into it to see the
consequences of our policies—or so we thought.
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We also believed that we could generate a mathematical rule to tell us how to
change policy in response to new information. To do this, we would have to spell out
precisely what we were trying to achieve with the variables in the model. We'd have to
decide, for example, how much more inflation we would accept in return for a bit lower
unemployment. With such decisions made, though, we believed that we could turn an
economic model into an effective policymaker and that then many of our economic
worries would vanish like an egg in a magician's hat.
Such prospects, however naive, motivated a great deal of research to develop
economic models for policymaking. For example, the Federal Reserve Board of Governors
during 1966 and 1967 cosponsored the development of a large model, the FRB-MIT model,
that was designed to be useful for monetary policymaking. Universities and private
concerns developed other large models of at least a hundred equations representing
aggregate behavior for a dozen or more sectors. These models were quickly put to work
making forecasts and predicting how the economy would respond to alternative policies.
The failure of Keynesian models. These economic models flatly failed. As
recently as the early 1970s, they uniformly predicted that the United States could push its
unemployment rate down to k percent if it accepted an inflation rate of about 4 percent.
If it accepted a slightly higher inflation rate, according to these models, it could reduce
unemployment still further, and with a 5 or 6 percent rate of inflation, it could practically
consign unemployment to the history books. Clearly, these predictions were far off the
mark. Unemployment did not drop when inflation went up—it went up too. For the last
few years, in fact, unemployment and inflation rates have averaged close to 7 or 8
percent.
These mistaken predictions were based on the assumption that there is an
exploitable trade-off between inflation and unemployment, a trade-off that is often
represented graphically as the Phillips curve. An exploitable trade-off implies that
unemployment can be lowered at any time simply by creating a little more inflation, and
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that high unemployment coinciding vith high inflation is an extremely unlikely event. As
the crisis in classical economic theory was that it could not explain the vast unemploy
ment of the Depression, the crisis in Keynesian economic theory is that it cannot explain
the debilitating concurrence of high unemployment and high inflation in the 1970s.
Keynesian theory by itself provides no explanation for why inflation and unemployment
have been rising together.
Even before the rational expectations school developed, economists were
beginning to question the foundations of the Keynesian theory, especially its presumption
that there is a stable trade-off between inflation and unemployment. In a volume edited
by Edmund Phelps in 1969, for example, several economists, recognizing that Keynesian
method does not adequately represent individual behavior, tried to construct theories of
unemployment and inflation based not on aggregate-level assumptions, but on individual-
level assumptions. Again, in 1973, just as the rational expectations school was making its
early breakthroughs, Sir John Hicks delivered a series of lectures on The Crisis in
Keynesian Economics that identified many of the failings of conventional theory.
The rational expectations school, then, is not the only one to see the
weaknesses in conventional Keynesian theory, but its criticism of the theory is probably
the most basic. According to the rational expectations school, Keynesian method and
theory are full of irreparable errors.
Error #1: irrational expectations. The rational expectations school has
demonstrated that all existing macroeconomic models are useless for policy evaluation,
because the method used to construct them dooms them to produce forecasts that are
incorrect when policy changes.
Any macro model is essentially a group of equations that represent how some
aggregate measures are related to one another. Some of these equations, in effect,
specify which information agents use to make their decisions about production, employ
ment, or consumption. In any reasonable model, the agents consider information about
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the future, since they presumably make some decisions based on their expectations of the
future. Their expectations of future prices, interest rates, and incomes, for instance,
influence their current decisions to save or consume.
Although almost everyone agrees that a model must represent expectations
about the future, building a model that represents them is tough. Macro model builders
have generally given their agents adaptive expectations. Agents who have adaptive
expectations expect the future to be essentially a continuation of the past. They expect
the future value of any variable in the model—prices, incomes, or anything else—to be an
average of its past values and to change very slowly. The average is weighted so that the
most recent past is more important than the more distant past, but it is always based
entirely on the past. The model consequently has no way of formulating expectations for
a future that is substantially different from the past.
This kind of expectations makes sense only if the relationships among the past
values and the future values of aggregate variables are fixed. It makes sense, that is, only
if agents can reasonably base their expectations exclusively on historical data. But the
assumption that these aggregate relationships change very little and the related assump
tion that agents expect them to change very little can produce ludicrous forecasts when
policy changes. If Washington doubled the money supply, eliminated the income tax, and
named the Ayatollah Khomeini to the Supreme Court, agents in the adaptive expectations
scheme would expect very little change in the economy. Even if Washington changed
policy in less extreme ways, such as by passing a windfall profits tax, these agents would
expect much too little change in the economy. Adaptive expectations thus amounts to
irrational expectations.
If economic agents optimize, as most economists agree, they cannot be this
irrational. Irrationality is unnecessarily expensive—it is more expensive than using the
available information efficiently. If agents overlook a series of policies that will
obviously increase the price level, they are bypassing large opportunities for economic
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gain. Workers who overlook such policies, for instance, are signing contracts for slowly
rising wages, although foreseeable increases in the price level will quickly erode their
buying power. Speculators, likewise, are failing to buy low and sell high, simply because
they are ignoring pertinent and readily available information. Irrationality, in short, is
not optimizing behavior.
Obviously, agents wouldn't throw their money away willingly. So the econo
mists who defend adaptive expectations claim that agents can be tricked into making
wrong decisions by a change of policy. Perhaps they don't foresee that a policy change is
coming, or perhaps they don't understand what its effects will be. It is possible that all
these people could be tricked like this once or that some of them could be tricked
repeatedly. But it is not very likely that everyone in the economy, on average, could be
bamboozled again and again by the same old macroeconomic policies, because they would
soon learn what these policies do. As Herbert Stein has said, "The lady in the box cannot
be fooled by the illusionist who pretends to saw her in half." If people behave this way,
they are not optimizing—not seeking the things they want. In this case, they should be
studied not by economists but by psychiatrists.
Rational expectations: the technical procedure. The brilliant insight of
rational expectations is that the equation that best represents agents' expectations is not
something as irrational as a weighted average, but is rather the entire model. Agents,
this implies, don't know exactly what a particular variable—say, the future price
level—will be, but they make the best possible predictions with the information at their
disposal. Although they may make mistakes, they don't throw out pertinent information.
With the rational expectations scheme replacing the adaptive expectations
scheme, agents in the model take policy changes into account. If a change in policy
creates opportunities to make extraordinary profits, they do not ignore them as they do
under adaptive expectations. In a rational expectations model of the economy, agents
change their decisions to take full advantage of whatever opportunities are produced by a
new policy.
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It is already possible to impose rational expectations on simple conventional
macro models. Simply imposing rational expectations on these models shows how much
their forecasts depend on their assumptions about expectations, although it doesn't
correct all of their problems. Under the assumption of rational expectations, these
models give much different predictions for the effect of a policy change. In a Keynesian
model with adaptive expectations, activist policy such as increasing the money supply
generally lowers unemployment and raises output, although it also increases inflation
somewhat. But in a similar model with rational expectations, activist policy has no effect
on unemployment or real output. It merely boosts inflation. Similarly, in the St. Louis
model, a seven-equation monetarist model, monetary expansion normally lowers the
unemployment rate over several quarters with only a gradual pickup in the rate of
inflation. But after rational expectations is imposed, the trade-off predicted by the
model nearly vanishes: Monetary expansion now reduces the unemployment rate only
slightly, hut quickly pushes the inflation rate into the stratosphere.
Such demonstrations show that policymakers cannot be confident about the
forecasts of conventional models unless they are confident that these models accurately
portray expectations—which they don't. This may seem self-evident, but it is truly a
devastating conclusion. It means that hundreds of laws and thousands of dissertations,
books, and articles—including some of my own—have been pointless. It means that all
the macroeconomic models that businesses and governments rely on for their economic
planning are useless except in the narrowest of circumstances. And that's the good news
for the Keynesians.
There are even deeper problems with conventional macroeconomic modelling.
The Keynesian approach to macro modelling is wrong not just because it muffs
expectations. It is fundamentally incapable of providing models valid for policy
evaluation, first, because it is inherently inconsistent and, second, because it depends on
arbitrary measures of policy success.
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Error #2: inconsistency. Conventional modelling is inconsistent because its
premises about aggregate behavior are based on conflicting assumptions about individual
behavior. In conventional models, the main equations, which represent aggregate
functions like consumption and labor supply, are based only indirectly on individual
behavior. For one aggregate function the models may assume that agents make their
decisions based only on the current period—that they don't consider future income, future
taxes, or future price increases. For another function, though, they may assume that
agents plan ahead almost infinitely--that they are much more farsighted.
It is fairly obvious that conflicting assumptions like these will lead to serious
inconsistencies. If agents decide how much to consume based partly on how much they
work, as economists generally agree, then the consumption function cannot be separated
from the labor supply function. The same personal decisions about how much to work
determine both total consumption and the total supply of labor. Conventional models,
however, often treat consumption and labor as unrelated variables, which implies that
agents are inconsistent or even schizoid.
The more sophisticated models nod politely to this reality by using some of the
same assumptions about agents for both of these functions. Unfortunately, these models
have no mechanism for making sure that the individual decisions implied by changes in the
labor supply are consistent with those implied by changes in consumption. In these
models, policy can cause labor supply to change independent of consumption—something
which does not happen in the model's original assumptions, which cannot happen in
economic theory, and which does not happen in real life. Policy, likewise, can cause other
aggregates to move independently, violating the model's assumptions. This guarantees
that Keynesian models will be logically inconsistent.
Aggregate behavior in Keynesian models, thus, does not correspond with
individual optimizing behavior in all conditions. It is, at best, consistent with individual
behavior cnly under some specific conditions. Simplification is of the essence of good
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science, but the things Keynes has thrown away have made macro models impotent for
evaluating policies.
The rational expectations school maintains that only by formulating in a
coherent way the decision problem facing individuals can one begin to develop models
capable of evaluating policy correctly. Because aggregate outcomes are only a sum of
individual decisions, the aggregate relationships should have no independent existence as
they do under the Keynesian approach.
Error #3: arbitrary measures of success. The third fundamental problem of
conventional macroeconomic modelling is that it relies on arbitrary measures of policy
success, such as the total unemployment rate and the rate of change in the price level.
As measures of a policy's success, these indexes are, at best, ambiguous and, at worst,
misleading.
In classical models or rational expectations models, where agents are assumed
to be acting in their own best interests, the success of a policy can be adequately
determined. Economists can be confident, for instance, that if they eliminate barriers to
trade or decrease uncertainty, they have increased individual welfare. They can know this
because all the agents make the decisions that are best for themselves, given their
constraints, and because the agents now have fewer constraints. To simplify, opportunity
is almost always good in these models. Optimizing agents will take advantage of new
opportunities to make themselves better off in their own terms. Providing more
opportunity is a means of increasing people's well-being.
In Keynesian models, in contrast, the success of a policy cannot be clearly
determined. Because these models replace individual decisions with aggregate actions,
they say nothing about individual welfare. Since these models don't consider people's
well-being, the economists have to make guesses about what increases it. Generally, they
guess that lower unemployment and greater output increase it. People probably do want
these things, but not if the costs—in terms of inflation, lost leisure, economic
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uncertainty, or anything else—outweigh the benefits. Studies with rational expectations
models, in fact, have shown that the costs can easily exceed the benefits. Policies
designed to reduce employment fluctuations, even if they succeed, can reduce people's
economic welfare over the course of the business cycle.
To simplify again, growth is usually good in Keynesian models, regardless of
what it does to individual welfare. Agents are permitted to make themselves better off
only in the terms dictated by policymakers, not in their own terms. Economists who rely
on these models, then, cannot be sure that they have increased people's well-being, even if
their policies do what they are supposed to do.
Rational expectations: the counterrevolution. Rational expectations, in sum,
avoids the errors of Keynesian economics by applying a few well-established classical
principles. It corrects the Keynesian assumption of irrational expectations with the well-
established assumption that agents optimize or, in other words, form the best expecta
tions possible with the information available to them. It avoids Keynesian inconsistencies
by building all its theoretical structures on the same foundation, on coherent assumptions
about optimizing agents. Finally, it avoids arbitrary Keynesian goals that are only proxies
for individual welfare, such as economic growth, by seeking to improve individual welfare
in more direct ways.
Taken literally, of course, rational expectations is simply a procedure for
economic modelling. On that score it's about as exciting as live bait. But its implications
are pure dynamite: almost everything we thought we knew about macroeconomic policy
isn't so. The rational expectations school endorses rational expectations per se only as
one assumption. A more complete picture is that the school builds on the foundation of
classical economics, including the premises that individuals optimize and that markets
clear. Using classical premises, it has constructed models that exhibit the main features
of business cycles, such as the correlated swings in unemployment and inflation, which the
old classical theory couldn't handle. This new classical economics has found cogent
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grounds for rejecting the Keynesian approach to model building, and it is working to
replace it with a new and more consistent approach.
The roots of the rational expectations school were already forming in the
1960s, before the crisis in Keynesian economic theory. The literal notion of rational
expectations was introduced in a landmark 1961 paper by Richard Muth, who apparently
borrowed the concept from engineering literature. Muth's goal was to model expectations
the same way economists model other microeconomic behavior: by assuming that agents
optimize and use information efficiently when forming their expectations. He was thus
able to construct a theory of expectations that was consistent with an economic theory
that most economists agree on.
Muth's breakthrough, though, did not convince a significant number of econo
mists to give up their conventional macro models. This task was not accomplished until
the early 1970s, when several economists began what, in retrospect, was an all-out assault
on existing macroeconomic models. The three that I am most familiar with are Robert
Lucas, Thomas Sargent, and Neil Wallace. Lucas proved that a model based on classical
principles could generate a correlation between inflation and employment, a correlation
which previously had appeared only in conventional models. He thus showed that classical
models were more broadly applicable than many economists had thought. His work
stimulated Sargent and Wallace, who began to trace some of the implications of the
rational expectations hypothesis. They demonstrated that existing models could not be
used to evaluate or design policy.
Criticisms of the rational expectations case. It is no secret that reactions
against the new classical economics have been strong. That's understandable, since the
rational expectations school strongly attacks ideas many economists have spent their
careers refining and denies the usefulness of the models promoted by well-established
commercial interests. The most frequent criticism of the school is that its fundamental
assumptions—in particular, rational expectations and equilibrium modelling—are
unrealistic.
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One version of this charge is that agents in rational expectations models are
too smart. Of course, individuals don't always use available information efficiently, so
the rational expectations assumption isn't completely realistic, but neither is the
generally accepted assumption that individuals always optimize. The point is that
theories can't be judged by the realism of their assumptions—superficially unrealistic
assumptions can produce realistic results. The assumption that agents use information
efficiently is a useful simplification precisely because it gives realistic results. The
assumption that agents optimize is useful for the same reason. In fact, the assumption
that agents use information efficiently is, at heart, just a logical extension of the
assumption that they optimize.
Charging rational expectations with being unrealistic, therefore, doesn't
bolster the case for conventional models. While models with either rational expectations
or adaptive expectations have unrealistic assumptions, models with adaptive expectations
have unrealistic results. These models are plainly unrealistic in more important
ways—ways that deprive them of any ability to evaluate policy.
Another version of the charge against the rational expectations school is that
the premise that markets are continuously clearing—or in equilibrium—is unrealistic.
The alternative, of course, is that markets do not clear or are in disequilibrium. It may
well be more realistic to say that some markets do not clear, but again that's not relevant.
The relevant issue is what assumptions produce realistic results when used to predict the
effects of policies. Existing economic models cannot predict the effects of policy, and
this is in no way changed by resorting to nonclearing markets.
The rational expectations school argues that, for evaluating policy, the
economy is best represented by a model that includes continuous equilibrium. Equilibrium
modelling is the best strategy available because it is consistent with a useful and fruitful
body of economic knowledge. It is linked to the main body of price, value, and welfare
theory and is thus able to share the highly refined theorems those fields have already
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developed. It appears to be able to explain unemployment and the business cycle without
discarding what we know about microeconomics.
3ames Tobin has caricatured this desire to be consistent by commenting, "In
other words, if you have lost your purse on a street at night, look for it under the
lamppost.” He intimates that classical theory, like a lamppost, is applicable only to one
area and unable to solve our macroeconomic problems. That really underestimates the
capabilities of equilibrium modelling. It is not necessary, after the new advances in
classical theory, to resort to disequilibrium models in order to account for unemployment,
queues, quantity rationing, or other phenomena that accompany the business cycle.
There's no reason, in principle, that these phenomena can't be reproduced by equilibrium
modelling—indeed, some of them already have been. Besides, disequilibrium modelling
poses enormously complex problems. Efforts to solve these problems would be welcome,
but the most promising strategy for devising useful models is clearly equilibrium
modelling. The advice of the new classical method is that when you go out at night to
look for your lost purse, go with flashlight in hand. Why grope in the dark when a light is
available?
Some false charges. Another prominent criticism of rational expectations is
that its predictions are valid only under constant policies. Only then, critics argue, could
agents know the model well enough to foresee the results of policy. That's really turning
things on their heads. Keynesian models, in fact, are the ones limited to constant policies
because they do not recognize that people react to a new policy—that if people are faced
with a new policy, their decision rules will change.
Rational expectations models may not have solved all of the problems inherent
in Keynesian models, but they at least acknowledge that people can and do react to a new
policy. Advocates of rational expectations concede that their models have not yet been
able to capture fully what happens in the economy when policy changes. But the new
method, because it is logically consistent and based firmly on accepted economic
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principles, has a good chance of producing models that can. The conventional method in
forty years has not produced one model that captures what happens when policy changes,
and it is absolutely incapable of doing so. While Keynesian models can produce very good
forecasts as long as policies do not change, they cannot describe how individual agents in
the economy make related decisions in response to new policies, as they must if they hope
to reproduce the effects of a policy change. An economy in motion is best modelled by
having agents change their decisions when the available information changes. This is what
rational expectations models try to accomplish--and what Keynesian models forget.
Another false charge is that rational expectations implies that monetary and
fiscal policies don't have any real effects on overall employment or production. Business
Week, for instance, reported: "In essence the rationalists maintain that the government is
impotent in the economic sphere" (June 26, 1978). The rational expectations school makes
no such claim. In fact, its proponents believe that government has a tremendous influence
on economic matters—though not the influence that the Keynesians claim.
A call for a new style of policymaking. The rational expectations school has
shown that no one knows much about what happens to the economy when economic policy
is changed. The methods of evaluating policy that we thought would work don't—and they
cannot be patched up. This means that our policies must be much different than they
have been in recent years. Specifically, it means that activist macroeconomic policies—
those designed to stimulate economic growth by cutting taxes, increasing government
spending, increasing the money supply, or increasing the federal deficit—must be curbed.
Activist policies must be curbed, first, because a growing body of evidence,
both empirical and theoretical, suggests that existing models cannot succeed in offsetting
the normal fluctuations in output, employment, or other aggregates. They may be able to
influence economic activity in some circumstances, but they cannot tame the business
cycle.
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Activist policies must be curbed, second, because most of their effects are
uncertain. Although we know that they don’t work the way they are supposed to, we don't
know—even approximately—what they really do. Every economic theory wisely recom
mends that policy should be more cautious when its effects are less certain, for the
obvious reason that a misconceived policy could make matters worse. Policymakers need
to move more slowly, with smaller steps. They must not try to stimulate economic
growth with such massive measures as they have been using, because no one can be sure
what these measures will accomplish.
Activist policies must be curbed, third, because even if we knew what their
results would be, we wouldn't know whether they were desirable or not. Policymakers who
rely on the Keynesian method cannot let individuals in the economy choose which results
are good; they are compelled to choose for them. The result is that activist policies may
well be making people generally worse off, unless their preferences exactly match those
specified by the policymakers.
Some critics of the new classical economics accept, at least for purposes of
argument, the premise of rational expectations in macro models, but nevertheless attempt
to justify activist policies. Typically, they have modelled situations in which the
government knows what is happening in the business cycle better or sooner than agents.
The government then exploits this advantage to fool agents into making decisions they
would not make if they knew what it knew. But merely to demonstrate the potential to
exploit such information does not establish that it is desirable to do so. In particular, it
does not even consider whether simply making this privileged information freely available
would make agents better off than tricking them. These attempts, in short, do not result
in a verdict for activist policies.
Another common way to justify activist policies is to put various rigidities into
a model, such as contracts that lock agents into fixed prices or wage rates over long
periods regardless of policy changes or higher inflation. Under these conditions activist
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policy can work, but only by playing favorites. It requires that the agents with inflexible
contracts lose while others win. Even if this inherent favoritism could be excused, such
policymaking would not be feasible for very long. Any repeated attempts to exploit these
rigidities would soon become so expensive that agents, if they optimized, would begin to
be wary of rigid contracts. They would find some way to avoid being harmed by these
contracts when policy was changed—perhaps they would insist on shorter contracts or
escalator clauses.
Instead of activist policies, we need stable policies. Which stable policies are
the best is still a matter of debate, but a general approach can be surmised. The
government should specify the rules for the economic game—that is, the policies and
regulations—so that people know what opportunities are available and understand the
probable consequences of their decisions. Tax policies, for example, should be set so that
people can know if their relative taxes are going up or down from one year to the next.
Spending policies should be announced well in advance and explained so that they don't
trick people into making harmful decisions. Regulations on financial markets should be
systematic and well announced instead of changing from month to month. Even the
regulations pertaining to bankruptcy need to be more predictable, so that future Chrysler
Corporations will know in advance what to expect.
For the consequences of the rules to be well understood, the rules must not
change very often. The government, of course, would want to be able to change some
policies, particularly those that are not succeeding, but it has a responsibility to see that
people are not intentionally tricked by a new policy. At present, many of our most
important economic policies come as surprises for one reason or another. No one will say
what happens at an FOMC meeting. No one will say how much the U.S. spends to prop up
the dollar. Congress changes tax laws so fast that labor contracts, wills, and investments
often fail to do what people intend. Changes in policy must come more slowly. In the
future, perhaps, when our economic knowledge is more sophisticated, we will be able to
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design fair and well-understood rules for changing policies, but for now we must choose
policies that accommodate our ignorance.
An important principle behind this new approach to policymaking is that
government rules and rule changes should not be based on arbitrary indexes like the
unemployment rate. Rather, they should be based on their ability to improve the general
welfare. If a policy can increase efficiency or otherwise make people better off, then use
it. But if all it can do is shift some aggregate numbers that may not mean much, why
bother? I suspect that this approach to policymaking would lead to much less government
involvement in the economy than we now have, since it is hard to demonstrate that
government involvement has improved welfare. Government may still have a large role as
a rule maker, but this is necessarily a passive role. The referee, after all, shouldn't
intercept a pass.
Perhaps because of these tentative policy implications, the rational expecta
tions school has sometimes been identified as a conservative branch of economics.
Conservative is not an entirely accurate term for it, however. It does conserve some
classical principles, but it isn't really striving to conserve anything out of a sense of
nostalgia or duty to the past. With equal accuracy, in fact, the school might be called
radical, for it is attempting to recultivate macroeconomics from the roots up. It might
also be called liberal because of its emphasis on individual welfare, rights, and opportun
ities. Political labels, though, don't quite fit such an academic enterprise. The advocates
of rational expectations are seeking a kind of truth, not an ideology. If they persevere
and find it, as I believe they will, then the question will be not whether they are left or
right, but how much their knowledge can benefit us.
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Cite this document
APA
Mark H. Willes (1979, December 20). Regional President Speech. Speeches, Federal Reserve. https://whenthefedspeaks.com/doc/regional_speeche_19791221_mark_h_willes
BibTeX
@misc{wtfs_regional_speeche_19791221_mark_h_willes,
author = {Mark H. Willes},
title = {Regional President Speech},
year = {1979},
month = {Dec},
howpublished = {Speeches, Federal Reserve},
url = {https://whenthefedspeaks.com/doc/regional_speeche_19791221_mark_h_willes},
note = {Retrieved via When the Fed Speaks corpus}
}