CHAPTER 1
Setting the Context

Returning from holiday on September 3, 1928, Alexander Fleming began to sort through petri dishes containing colonies of Staphylococcus, a bacterium that causes boils and sore throats.

Fleming noticed something unusual, imperfect, on one dish. The dish was dotted with colonies of bacteria, save for one area where a blob of mold was growing. The zone immediately around the mold—later identified as a rare strain of penicillin—was clear, as if the mold had secreted something that inhibited bacterial growth.

Fleming found that his “mold juice” was capable of killing a wide range of harmful bacteria. Such was the beginning of penicillin and a better life for all of us here.

In economics, it is the unusual, the imperfect, that provides the clues about the way forward—stagnation in the 1970s, tax policy and deregulation in the 1980s, and the financial crisis and subsequent reforms over the past 10 years.

THE PROBLEM WITH UNCRITICAL ASSUMPTIONS IN A LESS-THAN-PERFECT ECONOMY1

Yet in empirical work, economists are too frequently guided by a number of uncritical assumptions on how the world works. First, as economists, we must recognize and discourage straw man arguments that improperly identify the false choices in economic decisions or portray the outcomes of such decisions only in the context of an idealized economic model.

Second, we must be more critical of arguments that fail to recognize the assumption—or violation—of ceteris paribus when the outcomes of economic decisions are quite different when those ceteris paribus assumptions do not apply.

Third, we must be more critical of the simplistic view of the efficient market hypothesis—both information and foresight are not perfect.

Fourth, we must be more critical of the argument that economic markets discount all available current information, but fail to distinguish that markets are not clairvoyant for all future information.

Fifth, we must be more critical to distinguish that private market failures do not automatically imply that government can do better or do something at all.2

Finally, following the line of reasoning of Captain Barbossa, economic rules are more like guidelines rather than rules.3

THE PROBLEM WITH MODELS IN AN IMPERFECT ECONOMY

Economic outcomes rarely come about as seamlessly as predicted by theories and models. As economists, we should be more critical on overly simplistic models that assume away the complexities of the modern economy.

As economists, we should be more critical of irrelevant models that solve problems that no one is seeking to address.

As economists, we should be more critical of models that assume away the essential problem to achieve precise mathematical results in an imprecise world.

As economists, we should be more critical of essays that claim—with surprise—that no one before has looked at this problem.

As economists, we should be more critical about models that assume supply and demand balance out rapidly and unfailingly and that perfect competition reigns in markets.

As economists, we should be more critical of models that cannot assign a probability to a critical event and then rule out that critical event when that event is crucial to a fair assessment of risks. Low-probability events, with high costs, are still very expensive.

As economists, we should be more critical about models that exclude almost all consequential diversity and uncertainty of households and firms—characteristics that in many ways are fundamental to the outcomes of the actual economy. This also includes the failure to include an extensive financial sector in many models.

As economists, we should be more critical of models that are useful only in a trend economy where they are estimated—when recessions, financial instability, and periods of the unusual are the real challenge to examine.

FOUR CHARACTERISTICS OF A LESS-THAN-PERFECT ECONOMY

Dynamic Adjustments—Things Take Time

First, we are familiar with the proposition that monetary policy acts with lags, often long and variable. In theory, we have also begun to appreciate that the efficiency of countercyclical fiscal policy has been diminished by the significant recognition of policy implementation lags since the 1960s. Unfortunately, however, the distinction between temporary and permanent policy changes has been continuously lost in policy making in recent years. Milton Friedman won his Nobel Prize for the permanent income hypothesis, but the failure of the 1968 tax surcharge appears to have been forgotten by today’s policy makers. Temporary, lump-sum tax rebates are simply timing changes—not permanent action—and do not jump-start the economy. Cash for clunkers is a classic recent example. As a result, countercyclical fiscal policy has fallen by the wayside and now the focus of fiscal policy is more on long-run growth—incentives and disincentives for labor, capital, technology, and innovation.

Identifying permanent or temporary changes in economic policy has been made particularly difficult by the significant political election turnovers during the past 20 years. This has led to inconsistent economic policy and a significant shortening of time horizons for decision makers—especially for long-lived investment. In contrast to the Eisenhower vision on infrastructure—the interstate highway system—the focus today is on isolated, one-off, pork barrel projects to jump-start the economy; consider, then, the experience of Japan.

Moreover, one must think critically of the marginal cost/marginal benefit trade-off of individual infrastructure projects, not the blanket adoption of poorly specified spending programs. There must be a distinction between what we want and what we can afford, what is nice to have, and what can be justified by economic choices. Economists make choices—politicians make promises.

Second, dynamic adjustments are not symmetric across sectors of the economy. Capital moves faster than labor, cash moves faster than capital—a lesson in the current economic expansion. Asymmetric liquidity and credit constraints have limited consumption choices despite fiscal stimulus and monetary easing in the current recovery. A 10 percent increase in asset prices does not elicit an equal and opposite reaction as a 10 percent decline in asset prices within the economy. Going down stairs does not elicit the same amount of effort as going up stairs.

Third, adjustments occur not simply to new information, but when that information is different from what was expected. Markets are forward looking and discount expected future outcomes. Changes in asset prices are driven by the difference between expected and realized earnings, employment gains, inflation, and personal income patterns. Earnings, interest rates, oil prices, or regulatory actions by federal agencies or even the Supreme Court, for example, when different from market expectations, elicit significant reactions, and the movements are distinctly asymmetric.

Fourth, prices often overshoot—whether we are looking at exchange rates, interest rates, or commodity prices—oil prices in particular. Overshooting reflects the interaction between a complex of economic forces—not mere speculation. Expectations are not static; they evolve, reflecting the new information that is constantly appearing on our computer screens and the differentials between prices across markets.4

Therefore, our economy is seldom at equilibrium. Instead, there is a steady over/undershooting of prices, as illustrated in Figures 1.1 and 1.2 for inflation and 10-year U.S. Treasury rates since 1982.

Graph shows two curves for the long-run trend of PCE deflator and 10-year rate during the period 1982 to 2014. Peak value of PCE deflator is during the year 2009.

Figure 1.1 Deviation from the Long-Run Trend

Source: U.S. Department of Commerce and Federal Reserve Board

Graph shows two declining curves for 10-year treasury yields of 10-year trend and log of 10-year during the period 1982 to 2014.

Figure 1.2 10-Year Treasury Yields

Source: Federal Reserve Board

However, in many cases, prices are not allowed to completely adjust due to public policy. This creates tension and persistent disequilibrium in the markets—most recently illustrated by Greece. Exchange rates are commonly not allowed to be free—they are often managed—see the recent experience in China. Since exchange rates do not completely adjust, interest rates, inflation, and growth do not completely adjust either—a continued disequilibrium—which often leads to a sudden break such as illustrated by the European Exchange Rate Mechanism (ERM)/British pound in 1992 and the Swiss franc/euro movements in 2015 (Figures 1.3 and 1.4).

Graph shows two curves for ERM breakup of GBP/DEM and GBP/USD during the period 1991 to 1994. The central line depicts ERM breakup during September 1992.

Figure 1.3 ERM Breakup

Source: Bloomberg LP

Graph shows two curves for swiss exchange rate of CHF per EUR  and SNB target exchange rate during the period 2000 to 2016. CHF per EUR has maximum peak at 2008 and SNB target exchange rate is constant during the period 2011 to 2015.

Figure 1.4 Swiss Exchange Rate

Source: Bloomberg LP

In addition, capital is not perfectly mobile—think of Japan in the 1980s and China today—and that limits the ability of interest rates, exchange rates, and the real return on physical capital to adjust and results in pent up demand/supply imbalances in capital flows over time.

Finally, we recognize that many economic series are not mean reverting, as illustrated by the outward shift in the Beveridge Curve more than six years after the labor market began to recover (Figure 1.5) and the U-6 unemployment rate (Figure 1.6).

Scatter plot graph shows unemployment versus vacancy rate from 2001 to 2010 and from 2001 to present.

Figure 1.5 The Beveridge Curve

Source: U.S. Department of Labor

Graph shows four curves with shaded regions for marginally attached, part-time for economic reasons, unemployed and U-6 unemployment rate during the period 1983 to 2015.

Figure 1.6 U-6 Unemployment

Source: U.S. Department of Labor

Imperfect Information—What You See Is Not What You Get

In recent years, we have witnessed a series of examples where the information we see is not quite the reflection of reality. In mid-2014, there was an instance where the Institute for Supply Management (ISM), a key economic indicator, was released, re-released, and then re-rereleased again in the same morning to correct a series of errors. This sequence created confusion in the markets, and no doubt, many missed trades and consequent capital gains and losses that would not have occurred if the correct number had been initially released.

We are also very aware that, despite the monthly Bureau of Labor Statistics (BLS) releases and explanations, the public remains confused about the differences between the establishment and household surveys. How can there be more jobs and a rise in the unemployment rate in the same month? Moreover, how come the number of jobs can be revised for prior months but not the unemployment rate? Additional series, such as retail sales, are also continuously revised—information remains imperfect.

An Eagle That Chases Two Fish Catches Neither

In public policy and in public discussions, there is persistent confusion between relative and absolute prices. Media coverage does not make the distinction between real and nominal values—weak nominal retail sales can coexist with solid real consumer spending. As illustrated by Lucas in his 1972 paper, decision makers cannot distinguish if a price change reflects a relative price change or a change in the aggregate price level.5

Public and professional discussion continues the confusion between real and nominal prices—real wages, real interest rates, and real exchange rates drive real behavior in multiple markets, yet we continuously cite changes in nominal wages, nominal interest rates, and nominal exchange rates as drivers of economic activity.

Economic information is only one example of imperfect information. Tax and spending policy, and often nonpolicy in Washington, reflects a constant changing of the rules and rent-seeking behavior that reduces the efficiency of the economy. Tax and spending policy is constantly being changed. Uncertainties about highway funding make long-term decision making impossible. Tax cuts are phased-in and can easily be altered along the way. Obamacare, Dodd-Frank, and the many Basel Accords all generate rules—often vague and in bits and pieces—reducing the certainty of long-run credit and financial allocation decisions. Imperfect information generates imperfect decisions.

In monetary policy, the price we pay for committee-based policy making is imperfect information on the direction of monetary policy. There is a trade-off between more voices and greater transparency. There are practical trade-offs and weighing problems with multiple goals.

In labor markets, the search costs for information, as illustrated by research by Mortenson6 and Phelps,7 reflect reality in many economic sectors and the reality that nominal values can impact real economic variables—imperfect information is not neutral.

To illustrate, Figure 1.7 gives visual evidence about the ongoing debate about the persistently weak reported real gross domestic product (GDP) in the first quarter relative to the rest of the quarters since 1985. Figure 1.8 illustrates the mixed message of the discrepancy between GDP and gross domestic income (GDI).

Bar graph shows total, expansion and recession in first, second, third and fourth quarters since 1985. Recession is positive in second quarter and negative in rest of the quarters.

Figure 1.7 Real GDP Changes—CAGR

Source: U.S. Department of Commerce

Gross domestic product versus income graph shows two curves for gross domestic product in fourth quarter and gross domestic income in third quarter during the period 2010 to 2016.

Figure 1.8 Gross Domestic Product vs. Income

Source: U.S. Department of Commerce

Imperfect information is obvious when we analyze the labor market. Which unemployment rate is the focus of monetary policy and financial markets? If the unemployment rate is the focus, then what added value is there to having a labor market index? Should we read the existence of a labor market index as suggesting that the unemployment rate is imperfect—as both the target of policy and a fair reading of the labor market? Our analysis indicates that the labor market index does provide some additional guidance on credit quality in the increasingly complex labor market of the twenty-first century.8

State-Dependent Pricing

Evidence suggests that economic agents follow a strategy of state-dependent pricing such that there is no simple pricing rule, but that pricing reflects the perceived state of the economy and is not simply dependent on time. What is interesting is that this is the type of pricing policy currently being followed by the Federal Reserve with respect to the federal funds rate.9 Target pricing, rather than optimal pricing, appears to more often explain market behavior. This same pattern appears consistent with monetary policy and indicates that monetary policy, under certain conditions, can have real economic effects when price adjustments are not uniform and instantaneous.

Inflation inertia in price adjustments allows for monetary policy shocks to have long-lasting effects when some prices are predetermined. Once again, if prices are initially predetermined, but not all firms adjust prices in response to a monetary shock due to sticky information, then real economic effects are the result.10 Sticky information results from the observation that it is costly to obtain and process information—so firms do not continually update prices—they choose a path for prices. This allows for the real effects of changes in monetary policy in the short run.

ECONOMIC POLICY INCONSISTENCIES—THE PARABLE OF STRANGE BEDFELLOWS

Policy inconsistencies reflect a frequent conflict between economic and political objectives and validate the volatility in the index of economic policy uncertainty (Figure 1.9). Moreover, policy by polling is a growing phenomenon, and yet we view many of these polls as counterproductive. Frequent political polls indicate that Congress is held in low esteem and yet most congressmen are reelected—a disconnect. Such polls tell us little about the actual economic value or effectiveness of policy since the polling sample so often reflects the self-selected viewing or listening audience itself.

Graph shows curve for baseline overall index during the period 1985 to 2015. The deflections on the curve corresponding to black Monday, gulf war one, Clinton election, bush election, et cetera are labeled.

Figure 1.9 Index of Economic Policy Uncertainty

Source: Baker, Bloom and Davis11

Moreover, the actual policy put in place reflects the influence of an entire policy influence industry—lobbyists, D.C.-based news correspondents, Fed watchers, and D.C.-based political consultants—often involved in rent-seeking behavior that may have little positive influence on real economic growth.

Furthermore, policy initiatives, such as the Affordable Care Act, are subject to frequent changes that limit the ability of private actors to respond to any tentative but unclarified elements of the original legislation. Fiscal tax policy is subject to perennial revisions every legislative session. Trade and environmental policies are altered by federal agencies, and the initial legislation is regularly revised in action, thereby increasing the level of uncertainty of the impacts of legislation, limiting the willingness of the private sector to react to any initial legislation, and dragging out the response of economic actors. The long history of tariff policy in the United States has been a study of politics above economics.

Meanwhile, for fiscal policy, the continual alteration of tax laws undermines the ability of private actors to invest for the long term. Federal spending is often reflective of relative political power rather than economic rationale.

As for trade policy, Paul Krugman at a recent policy conference focused on the marginal costs/marginal benefit of an additional trade deal.12 This reflects a more thoughtful approach to trade policy and a good benchmark for infrastructure spending rather than the absolute black-and-white approach to many policy issues. What is the balance between the marginal benefit/marginal cost of the next trade deal? What is the balance for the next infrastructure project?

NOTES

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