Communicating Monetary Policy Uncertainty

When it comes to forecasting, we usually cite famous Yankee catcher and baseball philosopher Yogi Berra, who reputedly said: “It's tough to make predictions, especially about the future.”

For central bankers, this is more than just a minor headache. Given the lags between policy actions and their effects, forecasting is unavoidable. That puts uncertainty about the economic outlook at the heart of the policymakers’ daily job. Indeed, no one knows the future path of the economy or interest rates—not even those making the decisions.

Communicating this inevitable monetary policy uncertainty is difficult, but essential. In the United States, the Federal Open Market Committee (FOMC) uses a variety of means for this purpose. In two earlier posts, we discussed the evolution of FOMC communications and the usefulness of the quarterly survey of economic projections (SEP). Here, we examine a key aspect of FOMC communications that receives insufficient attention: the explicit publication of policymakers’ range of uncertainty about the future path for the policy rate. Buried near the end of the FOMC minutes, published three weeks after the SEP release, this information is consumed only by die-hard devotees….

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Qualifying for the Fed

Monetary economists of nearly all persuasions are overwhelming in their condemnation of President Trump’s desire to appoint Stephen Moore and Herman Cain to vacant seats on the Board of Governors of the Federal Reserve. The full-throated case for a high-quality Board offered by Greg Mankiw—former Chief of the Council of Economic Advisers under President George W. Bush—is just one compelling example.

Rather than review President Trump’s picks, in this post we enumerate the key qualities that we believe make a person well suited to serve on the Board. Before getting to any details, we should emphasize our strongly held view that there is no simple prescription—in law or practice―for what makes a successful Federal Reserve Governor. Furthermore, no single person combines all the characteristics needed to make for a successful Board. For that, diversity in thought, preferences, frameworks, decision-making, and experience is essential.

With the benefits of diversity in mind, we highlight three common characteristics that we consider vital for anyone to be an effective Governor (or Reserve Bank President). These are: a deep respect for the Fed’s legal mandate; a clear understanding of an analytic framework that makes policy choices reasonably predictable and effective; and an open-mindedness combined with humility that tempers the application of that framework….

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Dot-ology: What can we learn from the dot plot?

The primary objective of monetary policy is to keep inflation and unemployment low and stable. To be effective, central bankers must address shocks to inflation and unemployment, while ensuring that what they say and do is not a source of volatility. One way to make a commitment to stability credible is for policymakers to broadcast their likely responses to shocks—their reaction function. Such transparency escalates the cost of reneging, helping to anchor expectations about the future that influence current behavior (see our primer on time consistency). And, because they can anticipate how policy will respond to changes in economic and financial conditions, it improves everyone’s economic and financial decisions.

With such a stability-oriented policy strategy, the policy path will depend on what happens in a changing world. Only under specific circumstances―such as when the short-term interest rate is at or near its effective lower bound―will policymakers be inclined to commit to a specific future policy path.

Recently, we wrote about the remarkable evolution of Federal Reserve monetary policy communication over the past quarter century. Today, the Federal Open Market Committee (FOMC) publishes statements, minutes, and quarterly forecasts for growth, inflation, unemployment, and interest rates. In this post we take up a narrow question: What can we learn from the information published in the FOMC’s quarterly Summary of Economic Projections (SEP)?

Our answer is: quite a bit. The data allow us to estimate not only an FOMC reaction function, but also a short-run projection of the equilibrium real rate of interest (r*)―one that is consistent with projected economic conditions over a two- to three-year horizon—in addition to the long-run r* that is implicit in each SEP. While there is almost surely room to improve on the SEP, we conclude, as a friend and expert Fed watcher once suggested, “Don’t ditch the dots” ….

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Stress Testing Financial Networks: The Case of CCPs

Following the crisis of 2007-09, in which AIG’s bilateral derivatives trades played a notable role, the G20 leaders called for central clearing of standardized derivatives. The resulting shift has been dramatic: central counterparties (CCPs) now clear about three-fourths of interest rate contracts, up from less than one-fourth a decade earlier (see Faruqui, Huang and Takáts).

By substituting a CCP as the buyer to every seller and the seller to every buyer, central clearing mutualizes and can—with appropriate margining, trade compression, position liquidation procedures, and reporting—reduce counterparty risk (see Tuckman). CCPs also contribute to financial resilience by promoting uniform margin standards, reducing collateral and liquidity needs, and making risk concentrations (like that of AIG in the run-up to the crisis) more transparent.

At the same time, the shift to central clearing has concentrated risk in the CCPs themselves. Reflecting economies of scale and scope, as well as network externalities, a few CCPs serving global clearing needs have grown enormous. For example, as of the last report at end-September 2018, open interest at LCH Clearnet exceeded $250 trillion. Moreover, the clearing activity of some CCPs lacks any short-run substitute. As a result, to avoid disrupting large swathes of the global financial system, any recovery or resolution plan for these CCPs must ensure continuity of service (see CCP Resolution Working Group presentation to the OFR Financial Research Advisory Committee). Finally, CCPs are the most interconnected intermediaries on the planet, making them channels for transmission and amplification of financial distress within and across jurisdictions. As then-Governor Powell clearly states in the opening quote, the safety of CCPs is central to the resilience of the global financial system.

We and Richard Berner have been studying how regulators use stress tests (see our earlier posts here and here) to assess the resilience of financial networks, including banks and nonbanks. In our joint work, we focus on CCPs due to their centrality, their extreme interconnectedness and their lack of substitutability. This post is based on our research….

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What Risk Professionals Want

As memories of the 2007-09 financial crisis fade, we worry that complacency is setting in. Recent news is not good. In the name of reducing the regulatory burden on small and some medium-sized firms, the Congress and the President enacted legislation that eased the requirements on some of the largest firms. Under the current Administration, several Treasury reports travel the same road, proposing ways to ease regulatory scrutiny of large entities without changing the law (see here, here and here). And, recently, the Federal Reserve Board altered its stress test in ways that make it more likely that poorly managed firms will pass. It also voted not to raise capital requirements on systemically risky banks over the next 12 months.

A few weeks ago, one of us (Steve) had the privilege to speak at the 20th Risk Convention of the Global Association of Risk Professionals (GARP). Founded in 1996, GARP engages in the education and certification of risk professionals and has several hundred thousand members worldwide. (Disclosure: Brandeis International Business School and NYU Stern are GARP Academic Partners.) The organizers allowed us to solicit the views of the 100-plus attendees on two issues that are central to financial resilience: Are bank capital requirements high enough? And, do central counterparties (CCPs) have sufficient loss-absorbing buffers? They answered both questions with a resounding “NO” ….

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Inflation risks and inflation expectations

U.S. inflation has been low and steady for three decades. This welcome stability is not merely a consequence of good fortune. Shocks that in the past might led to higher trend inflation—like the energy price increases—continue to buffet the economy much as they did in the 1970s and 1980s, when inflation rose to a peacetime record. Rather, it reflects the improved monetary policy of the Federal Reserve, which began acting as an inflation-targeting central bank in the mid-1980s, long before it announced a 2% target for inflation in 2012. As a consequence of the Fed’s sustained efforts, long-run inflation expectations have remained close to 2% for more than 20 years. One result is that temporary disturbances that drive inflation above or below target quickly fade.

This is the optimistic conclusion of the 2017 U.S. Monetary Policy Forum (USMPF) report. Since the adoption of the de facto inflation-targeting regime, one-off shocks have little impact on the inflation trend. Moreover, as many have observed, the relationship between unemployment and inflation—the Phillips curve (see our primer)—is now notably weaker. However, the authors of that earlier report warn that the Phillips curve “flattening” could be a direct consequence of the Fed’s success. Furthermore, since the sample period from 1984 to 2016 excludes any sustained period of a very tight economywide labor market, it would not be possible to detect an outsized impact, if any, of persistently low unemployment on inflation.

Enter the 2019 USMPF report, which focuses on the possibility that inflation may indeed respond differently when the unemployment rate is very low and projected to remain low for several years (see, for example the FOMC’s latest Summary of Economic Projections). The logic is straightforward: if labor is very scarce for an extended period, employers will bid up wages and (unless they are prepared to accept declining profits) pass on those cost increases in the form of higher prices….

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Improving resilience: banks and non-bank intermediaries

Debt causes fragility. When banks lack equity funding, even a small adverse shock can put the financial system at risk. Fire sales can undermine the supply of credit to healthy firms, precipitating a decline in economic activity. The failure of key institutions can threaten the payments system. Authorities naturally respond by increasing required levels of equity finance, ensuring that intermediaries can weather severe conditions without damaging others.

Readers of this blog know that we are strong supporters of higher capital requirements: if forced to pick a number, we might choose a leverage ratio requirement in the range of 15% of total exposure (see here), roughly twice recent levels for the largest U.S. banks. But as socially desirable as high levels of equity finance might be, the fact is that they are privately costly. As a result, rather than limit threats to the financial system, higher capital requirements for banks have the potential to shift risky activities beyond the regulatory perimeter into non-bank intermediaries (see, for example here).

Has the increase of capital requirements since the financial crisis pushed risk-taking beyond the regulated banking system? So far, the answer is no. However, in some jurisdictions, especially the United States, the framework for containing systemic risk arising from non-bank financial institutions remains inadequate….

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Common Ownership: Back to Basics

Do diversified investment vehicles―especially index funds―diminish competitive pressures in concentrated industries? There is an active (and contentious) debate among researchers, policymakers and practitioners about the costs and benefits of such “common ownership.”

In addition to a rapidly growing number of industry-level studies—looking at airlines (here and here), banking (here and here) and ready-to-eat cereals (Backus, Conlon and Sinkinson, forthcoming), or at broad groups of industries—other researchers have sought to link common ownership to macroeconomic phenomena, like the weakness of post-crisis investment. And, in response to anti-competitive claims, legal scholars propose using antitrust law to limit the holdings of institutional investors in oligopolistic industries. Against this background, competition authorities in Europe and the United States are taking the debate seriously (see, for example, the FTC hearing held in December at the NYU School of Law).

Our own view is that the discussion remains at a very early stage, and that it is likely to take years to resolve whether CO, especially through index-tracking mutual and exchange-traded funds, meets the cost-benefit test (for a skeptical view of CO, see here). Importantly, even if CO does reduce competitive pressures, we currently know far too little to about the scale or scope to identify remedies that would be most effective and least disruptive. Furthermore, should the case for broad-based anti-competitive effects become compelling, any response will need to consider the welfare trade-off between the very large consumer benefits arising from broad index funds and the consumer costs associated with a loss of competition in selected oligopolistic industries.

Against this background, we welcome two new papers (here and here) by Backus, Conlon and Sinkinson (BCS) that review the literature, provide new data to characterize the evolving pattern of share ownership, and suggest a back-to-basics approach for testing the CO hypothesis in specific industries. We hope that their work will spur a wave of CO research that will help us weigh the increasingly animated claims and counter-claims. In the remainder of this post, we highlight a few of the lessons from this recent research….

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FOMC Communication: What a Long, Strange Trip It's Been

Following their January 2019 meeting, the Federal Open Market Committee (FOMC) came in for intense criticism. Instead of a truculent President complaining about tightening, this time it was financial market participants grumbling about a sudden accommodative shift. In December 2018, Fed policymakers’ suggested that, if the economy and market conditions evolved as expected, they probably would raise interest rates further in 2019. Faced with changes in the outlook, six weeks later they altered the message, suggesting that going forward, monetary easing and tightening were almost equally likely.

We find the resulting outcry difficult to fathom. The FOMC’s perceptions of the outlook may have been incorrect in December, in January, or both. There are myriad ways for economic and market forecasts to go wrong. But, to secure their long-run objectives of stable prices and maximum sustainable employment, isn’t it sometimes necessary for policymakers to change direction, and when they do, to explain why?

The point is that the recent turmoil arises at least in part from the Fed’s high level of transparency. In this post, we summarize the evolution of Federal Reserve communication policy over the past 30 years, and discuss the importance and likely impact of these changes. While transparency is far from a panacea, we conclude that the evolution has been useful for making policy more effective and sustainable, and remains critical for accountability and democratic legitimacy….

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China: Mao Strikes Back

China is now a top-rank, market-moving source of daily news. It is not only the world’s second largest economy, but over the past decade, it accounted for nearly thirty percent of global economic growth. No wonder stories about a slowdown in China and trade conflict with the United States send shudders through financial markets. As conditions are worsening, uncertainty has jumped to record levels in China and elsewhere.

In the near term, if China and U.S. trade negotiators can come to an agreement avoiding a further hike of U.S. tariffs, some of this heightened uncertainty may fade. But a more persistent source of risk arises from China’s medium- and long-term growth prospects. While the country has sustained 6%-plus growth since 1991, in recent years it has done so by increasing investment per unit of growth. The prominence of these diminishing returns from incremental capital outlays lead many informed observers to conclude that a further medium-term deceleration is inevitable. Worries about the sharp increase in nonfinancial corporate debt over the past decade, and the lack of transparency regarding the risks in China’s financial system, only serve to compound this pessimism.

Given these circumstances, Nicholas Lardy’s excellent new book, The State Strikes Back, could hardly arrive at a better moment. Using careful analysis to challenge common hypotheses, Dr. Lardy takes a close look at the principal factors affecting China’s longer-run growth prospects. Ultimately, he is hopeful, but realistic: China could sustain its recent pace of growth for an extended period—or grow even faster—but only if the government is willing to return to its earlier commitment to serious reforms that favor market, rather than state, allocation of resources. So far, despite the prominent market advocacy in its 2013 “policy blueprint”—the first under President Xi Jinping’s leadership (see the opening citation)—the Xi government has shifted in precisely the opposite direction.

In the remainder of this post, we explore Lardy’s conclusion that China’s growth potential remains high. On the key issues of substance, his logic is compelling. A combination of the opportunities generated by convergence to advanced-economy productivity levels, continued improvements in competition and trade, and a renewed shift toward the private allocation of resources—especially through changes in the structure of both state-owned enterprises and the financial system—points to the possibility of a return to higher growth. Nevertheless, we find ourselves somewhat less hopeful. Even if China’s government were to make fundamental economic reform its top priority, in our view the odds favor a further slowdown over the next decade….

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Antitrust and the Financial Sector

Antitrust has again become a hot topic in U.S. policy discourse. There are lots of contributing reasons:  Online firms have grown large and ever more important in many individuals’ lives. Media references to “Big Oil”, “Big Pharma”, “Big Tech”, etc., have become more common. The Obama Council of Economic Advisers issued a 2016 report that highlighted rising seller concentration—and related concerns about rising market power—in many sectors of the U.S. economy. These concerns have been echoed by The Economist and by a number of academic and “think tank” studies. There have been efforts to link this increasing size and concentration to wage stagnation and worsening income distribution.

The term “monopoly” is heard far more frequently today than was true even a decade ago.

Antitrust is one of the major policy tools in the United States—along with direct regulation—designed to address monopoly and more generally the exercise of market power. For the financial sector, regulation of various kinds generally overshadows antitrust. But even for the financial sector, antitrust plays an important role: indeed, in June 2018, the U.S. Supreme Court decided an important antitrust case that involved American Express’s relationship with the merchants that accept its payment card.

So, let’s first review some basics about antitrust. We’ll next describe the recent trends in company sizes and seller concentration. And we will then move on to the relevance of antitrust for the financial sector….

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Bad Precedent

Recent reports that President Trump wanted to fire Board Chairman Powell in response to Federal Reserve interest rate hikes are unprecedented. Denials from senior officials―Treasury Secretary Mnuchin and Council of Economic Advisers Chairman Hassett―have even less credibility than would a statement (or tweet) from the President himself. We find this entire discussion extremely disheartening and surely damaging to economic policy and the credibility of the Federal Reserve. As former Chair Yellen has stated, the risk is that people lose “confidence in the Fed, in the basis for its actions and its responsiveness to its mandate” (see here, time mark: 18:51).

To be sure, there is some debate over whether the President can fire the Fed Chair, other than “for cause.” We are not lawyers, but thoughtful people such as Peter Conti-Brown suggest that the answer is yes. Against this background, we view President Trump’s actions (and reported wishes) as the most serious threat to Fed independence since the Treasury-Fed accord of March 1951….

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Navigating in Cloudy Skies

Stargazers hate clouds. Even modest levels of humidity and wind make it hard to “see” the wonders of the night sky. Very few places on our planet have consistently clear, dark skies.

Central bankers face a similar, albeit earthly, challenge. Even the simplest economic models require estimation of unobservable factors; something that generates considerable uncertainty. As Vice Chairman Clarida recently explained, the Fed depends on new data not only to assess the current state of the U.S. economy, but also to pin down the factors that drive a wide range of models that guide policymakers’ decisions.

In this post, we highlight how the Federal Open Market Committee’s (FOMC’s) views of two of those “starry” guides—the natural rates of interest (r*) and unemployment (u*)—have evolved in recent years. Like sailors under a cloudy sky, central bankers may need to shift course when the clouds part, revealing that they incorrectly estimated these economic stars. The uncertainty resulting from unavoidable imprecision not only affects policy setting, but also complicates policymakers’ communication, which is one of the keys to making policy effective….

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E Pluribus Unum: single vs. multiple point of entry resolution

Addressing the calamity posed by the failure of large, global financial intermediaries has been high on the post-crisis regulatory reform agenda. When Lehman Brothers―a $600 billion entity―failed, it took heroic efforts by the world’s central bankers to prevent a financial meltdown. The lesson is that a robust resolution regime is a critical element of a resilient financial system.

Experts have been hard at work implementing a new mechanism so that the largest banks can continue operation, or be wound down in an orderly fashion, without resorting to taxpayer solvency support and without putting other parts of the financial system in danger. To enhance market discipline, the shareholders that own an entity and the bondholders that lent to it must face the consequences of poor performance.

How can we ensure that healthy operating subsidiaries of G-SIBs continue to serve their customers even during resolution? Authorities have proposed a solution that takes two forms: “single point of entry (SPOE)” and “multiple point of entry (MPOE).” A key difference between these two resolution methods is that the former allows for cross-subsidiary sharing of loss-absorbing capital and cross-jurisdictional transfers during resolution, while the latter does not. The purpose of this post is to describe SPOE and MPOE. We highlight both the relative efficiency of SPOE and the requirements for its sustainability: namely, adequate shared resources, an appropriate legal framework and a credible commitment among national resolution authorities to cooperate….

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From Basel to the Volcker Rule: A FinReg Glossary

Over the past century, an alphabet soup of agencies and rules overseeing and guiding domestic and cross-border finance has emerged. The wave of regulation following the 2007-09 crisis added to the complexity of this framework. With that in mind, we have developed this glossary to help students and teachers navigate through the maze. In addition to brief descriptions of each regulatory body or notion, links to other resources provide additional background and insight. We expect to update the glossary occasionally, broadening its coverage and pruning obsolete entries.

Items shown in italics appear as stand-alone entries in the glossary….

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U.S. Monetary Policy Spillovers

Do changes in U.S. dollar interest rates have a material impact on financial conditions elsewhere in the world? The answer is a resounding yes (see the paper one of us presented at this month’s IMF Annual Research Conference). When the Federal Reserve eases, the result is a dramatic increase in financial system leverage in other countries. Not only that, but the impact is larger than that of domestic policy changes.

The outsized cross-border impact of U.S. monetary policy creates obvious challenges for policymakers abroad aiming to maintain financial stability. Governments in the countries most affected have few options to limit the risks created by cyclical changes in dollar interest rates. The available mix of prudential measures includes more stringent capital requirements, limits on foreign currency liabilities, and restrictions on cross-border capital flows. The alternative of trying to counter U.S. monetary stimulus through higher policy interest rates abroad may backfire….

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Taking the **Sock** out of FSOC

In the aftermath of the financial crisis of 2007-2009, the U.S. Congress created the Financial Stability Oversight Council (FSOC – pronounced “F-Sock”)—a panel of the heads of the U.S. regulatory agencies—“to identify risks to the financial stability of the United States”; “to promote market discipline” by eliminating expectations of government bailouts; and “to respond to emerging threats” to financial stability.

Despite these complex and critical objectives, the law limited FSOC’s authority to the designation of: (1) specific nonbanks as systemically important financial intermediaries (SIFIs), and; (2) critical payments, clearance and settlement firms as financial market utilities (FMUs). Nonbank SIFIs are then supervised by the Federal Reserve, which imposes stricter scrutiny on them (as it does for large banks), while FMUs are jointly overseen by the Fed and the relevant market regulators.

At the peak of its activity in 2013-14, the FSOC designated four nonbanks as SIFIs: AIG, GE Capital, MetLife, and Prudential Insurance. Following the Council’s October 16 rescission of the Prudential designation, there are no longer any nonbank SIFIs. Not only that, but by making a future designation highly unlikely, Treasury and FSOC have undermined the deterrence effect of the FSOC’s SIFI authority. In short, by taking the sock out of FSOC, recent actions seriously weaken the post-crisis apparatus for securing U.S. (and global) financial stability. In the remainder of this post we review the Treasury’s revised approach to SIFI designation in the context of the Prudential rescission….

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Negative Nominal Interest Rates and Banking

The financial crisis of 2007-2009 taught us many lessons about monetary policy. Most importantly, we learned that when financial systems are impaired, central banks can backstop both illiquid institutions and illiquid markets. Actively lending to solvent intermediaries against a broad range of collateral, purchasing assets other than those issued by sovereigns, and expanding their balance sheets can limit disruptions to the real economy while preserving price stability.

We also learned that nominal interest rates can be negative, at least somewhat. But in reducing interest rates below zero―as has happened in Denmark, Hungary, Japan, Sweden, Switzerland and the Euro Area―policymakers face concerns about whether their actions will have the desired expansionary effect (see here). At positive interest rates, when central bankers ease, they influence the real economy in part by expanding banks’ willingness and ability to lend. Does this bank lending channel work as well when interest rates are negative?

Why should there be any sort of asymmetry at zero? Banks run a spread business: they care about the difference between the interest rate they charge on their loans and the one they pay on their deposits, not the level of rates per se. In practice, however, zero matters because banks are loathe to lower their deposit rates below zero….

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Assessing Housing Risk

Housing debt typically is on the short list of key sources of risk in modern financial systems and economies. The reasons are simple: there is plenty of it; it often sits on the balance sheets of leveraged intermediaries, creating a large common exposure; as collateralized debt, its value is sensitive to the fluctuations of housing prices (which are volatile and correlated with the business cycle), resulting in a large undiversifiable risk; and, changes in housing leverage (based on market value) influence the economy through their impact on both household spending and the financial system (see, for example, Mian and Sufi).

In this post, we discuss ways to assess housing risk—that is, the risk that house price declines could result (as they did in the financial crisis) in negative equity for many homeowners. Absent an income shock—say, from illness or job loss—negative equity need not lead to delinquency (let alone default), but it sharply raises that likelihood at the same time that it can depress spending. As it turns out, housing leverage by itself is not a terribly useful leading indicator: it can appear low merely because housing prices are unsustainably high, or high because housing prices are temporarily low. That alone provides a powerful argument for regular stress-testing of housing leverage. And, because housing markets tend to be highly localized—with substantial geographic differences in both the level and the volatility of prices—it is essential that testing be at the local level….

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Inflation and Price Measurement: A Primer

People use a variety of statistics to gauge how the economy is doing. It is fairly straightforward to measure nominal GDP, so the challenge of estimating real economic growth arises from the need for accurate measures of prices. Price measurement also is key for inflation-targeting central bankers, who need a number as a guide and for public accountability. To be credible, that number must be based on an index constructed using established scientific methods.

Reflecting a set of well-known (and nearly insurmountable) difficulties, measured inflation has an upward bias. That is, the inflation numbers that statistical agencies report are consistently higher than the theoretical construct we would like to compute. As a consequence of this upward bias in inflation measurement, our estimates of growth in real output and real incomes are systematically too low.

The big question today is whether the bias in inflation measurement, and hence the bias in the measurement of growth, has increased in recent years. As Martin Feldstein describes in detail, the answer to this question is important, as it affects how we collectively view long-run progress. If published statistics show sluggish real growth, as well as slow growth in real wages and incomes, then people may be unduly pessimistic. A worsening bias would add to that pessimism.

In practice, however, careful recent analysis suggests that inflation measurement bias has not changed much since the early 2000s….

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