Economics-Watching: Where Could Reshoring Manufacturers Find Workers?

[from the Federal Reserve Bank of Cleveland, 9 October, 2025]

by Stephan D. Whitaker, Senior Policy Economist

The United States has lost millions of manufacturing jobs in recent decades, but a variety of policies have been enacted to incentivize the creation of manufacturing jobs in America. This District Data Brief analyzes where manufacturers might find US workers to fill these roles.

Introduction

The announcement of new tariffs this year has reignited the discussion of whether the United States can expand its manufacturing employment by millions of workers. Reversing decades of manufacturing job losses is one explicit goal of the new higher tariffs. This District Data Brief presents measures of employment and demographics as context around the current and potential employment in US manufacturing. Raising manufacturing employment by 4 to 6 million workers would constitute a large increase relative to current levels. However, an increase of this scale would not be large relative to the global growth of manufacturing employment in recent decades, the current US labor force size, or the number of US adults not engaged in high-paying work.

With different priorities and approaches, policymakers have spent much of the past decade addressing issues related to the loss or absence of manufacturing in the United States. For example, America’s dependence on imported manufactured goods was highlighted at the beginning of the COVID-19 pandemic as supply chain disruptions led to shortages of medical equipment, pharmaceuticals, microchips, and other products. The CHIPS and Science Act and the Inflation Reduction Act featured tax breaks and subsidies to expand US manufacturing capacity for semiconductors, electric vehicles, and renewable energy equipment.

At the same time, economists have been documenting the loss of work opportunities and earning power by workers without college degrees as manufacturing employment has declined. In 2013, David Autor, David Dorn, and Gordon Hanson published a study that estimated the labor market impacts resulting from increased trade competition following China’s entrance into the World Trade Organization, an effect often referred to as the “China shock.” Dozens of studies have since used the regional variation in job and income losses caused by the China shock to measure the adverse impacts of job displacement on family structures, crime, health, and other social indicators. Some supporters of industrial subsidies and higher tariffs have expressed the hope that these dynamics can be put into reverse.

Read the full article [archived PDF].

Price Revolutions and Their Historical Impact

In 1996, leading economic historian, David Hackett Fischer, published The Great Wave: Price Revolutions and the Rhythm of History. If you ponder the subtitle, you may grasp the work’s ambition.

Nobel Prize-winning economist Paul Krugman has been arguing with Fischer for many years that, in making the transition from business to historical cycles, Fischer’s position is problematic.

There are, of course, detailed histories of prices, such as Thomas Tooke’s A History of Prices and of the State of the Circulation during the Years 1793–1856 (6 volumes, 1838–1857).

In the first four volumes he treats (a) of the prices of corn, and the circumstances affecting prices; (b) the prices of produce other than corn; and (c) the state of the circulation. The two final volumes, written with William Newmarch, deal with railways, free trade, banking in Europe and the effects of new discoveries of gold.

Wikipedia (links added)

Tooke-type price histories are one thing, but what about Fischer’s price revolutions? Max Weber (who predates Fischer by almost a century) seems to endorse this concept. In Weber’s General Economic History (German: Wirtschaftsgeschichte), he writes:

The great price revolution of the 16th and 17th centuries provided a powerful lever for the specifically capitalistic tendencies of seeking profit through cheapening production and lowering the price. This revolution is rightly ascribed to the continuous inflow of precious metals, in consequence of the great overseas discoveries. It lasted from the thirties of the 16th century down to the time of the Thirty Years’ War, but affected different branches of economic life in quite different ways. In the case of agricultural products an almost universal rise in price set in, making it possible for them to go over to production for the market. It was quite otherwise with the course of prices for industrial products. By and large these remained stable or rose in price relatively little, thus really falling, in comparison with the agricultural products. This relative decline was made possible only through a shift in technology and economics, and exerted a pressure in the direction of increasing profit by repeated cheapening of production. Thus the development did not follow the order that capitalism set in first and the decline in prices followed, but the reverse; first the prices fell relatively and then came capitalism.

Max Weber, General Economic History, Collier Books (3rd printing), 1966, pages 230-231.

Notice the last sentence above, Weber explicitly describes price revolutions exactly as Fischer argues.

In the history books we read, the emphasis is always on colorful personalities, inventions and other more theatrical events. This obviously omits the idea of phenomena like price revolutions. We cannot explain history merely by these personalities; we need to zoom out and view the larger picture.

Economics-Watching: Why Businesses Say Tariffs Have a Delayed Effect on Inflation

[from the Federal Reserve Bank of Richmond, 8 August, 2025]

by R. Andrew BauerRenee Haltom and Matthew Martin

Regional Matters

Ever since new tariffs were enacted in early 2025, a key policy question has been what is the extent to which businesses will pass tariff costs through to prices, and when? The effects of a tariff are rarely straightforward, given, among other things, competitive dynamics and the challenges of implementation, but the historically large and changing nature of these tariffs have created additional levels of uncertainty over the effects.

In uncertain times, anecdotal evidence from businesses can be especially insightful. We are learning how businesses are reacting to tariffs through the Richmond Fed’s business surveys as well as through hundreds of one-on-one conversations with Fifth District businesses since the start of 2025.

These conversations showcase that navigating tariffs is a complex and sometimes protracted process for firms, particularly when there is uncertainty. Firms describe several reasons they may not have experienced the full impact of proposed tariffs yet (even when goods and countries they deal with are subject to them), as well as reasons that even when they have incurred tariff-related cost increases, there can be a delayed impact on pricing decisions.

Reasons Firms May Not Have Incurred Tariffs Yet

Business contacts describe several strategies or circumstances that can delay or reduce the tariffs on inputs or other imported items. These include the following:

As our monthly business surveys have found, many firms report deploying more than one strategy to delay tariffs. Notably, many of these delays are only temporary.

Reasons Tariffs May Have a Delayed Impact on Prices

Even when firms have incurred tariffs, they give several reasons why tariffs may not be immediately reflected in the prices they charge for their products. These include the following:

  • Waiting for tariff policy to clarify. Higher prices could reduce demand for goods and services and/or lead firms to lose market share, so many firms said they are hesitant to increase prices until they’re sure tariffs will remain in place. For example, a large national retailer said if tariffs are finalized at a sufficiently low level, they’ll absorb what they’ve incurred to date, but if high tariffs stick, they’ll have to raise prices. A steel fabricator for industrial equipment described being reluctant to raise prices on the 10 percent cost increases they’d seen thus far but would have to raise prices should the increases reach 12 to 13 percent. A grocery store chain was reluctant to raise prices and instead might reduce margins, which had recovered in recent years, to maintain their customer base. Some firms explicitly noted a strategy to both raise prices over time and pursue efficiency gains to cut costs and completely restore margins within a year or two.
  • Elasticity testing. Firms reported testing across goods whether consumers will accept price increases. A furniture manufacturer said he’s seen competitors pass along just 5 percentage points of the tariffs at a time so it isn’t such a huge shock to customers, though in that sector, “We all end in the same place which is the customer bearing most of it.” A national retailer said most firms are doing a version of stair-stepping tariffs through, e.g., raising prices a small amount once or twice to see if consumer demand holds, and if so, trying again two months later. This retailer said prices were going up very marginally in early summer, would increase more in July and August, and would be up by 3 to 5 percent by the end of Q4 and into 2026. Another national retailer said they would start testing the extent to which demand falls with price increases, e.g., when the first items that were subject to tariffs—in this case back to school items—hit shelves in late July.
  • Blind margin. Some firms reported attempting to pass through cost in less noticeable ways. While any price increase to consumers will be captured in measures of aggregate inflation, the fact that price increases may occur on non-tariffed goods might make it difficult to directly relate price increases to tariffs. An outdoor goods retailer said, “Unless it’s a branded item where everyone knows the price, if something goes for $18, it can also go for $19.” A national retailer plans to print new shelf labels with updated pricing, which will be less noticeable for consumers compared to multiple new price stickers layered on top. This takes time (akin to a textbook “menu cost” in economics), so it will not be reflected in prices until July and August. A grocery store said their goal was to increase average prices across the store but focus on less visible prices.
  • Selling out of preexisting inventory: Many firms noted they still have production inventory from before tariffs were announced, so they do not need to raise prices as long as they still sell these lower cost goods. A national retailer noted they have at least 25 weeks of inventory on hand for most imported products. A firm that produces grocery items said they will decide how much to raise prices as they get closer to selling tariff-affected products. Similarly, retailers order seasonal items quarters in advance. Many were receiving items for fall and winter when the new tariffs were going into effect in the spring. They paid the tariff then, but we won’t see the price increase until those items hit the shelves in the fall or winter. One retailer speculated that seasonal décor items will look the most like a one-time increase.
  • Pre-established prices. Many firms face infrequent pricing due to factors like annual contracts or pre-sales. For example, a dealer of farm equipment gets half its sales through incentivized pre-sales to lock in demand and smooth around crop cycles. They noted that while it would be difficult to retroactively ask those customers to pay for part of the tariff, they will pass tariffs directly through on spare parts. A steel fabricator for industrial equipment has a contract for steel through Q3, so they haven’t been impacted yet by price increases. However, they will face new costs once that contract expires.

In general, compared to small firms, large firms have more ability to negotiate with vendors, temporarily absorb costs, burn cash, wait for strategic opportunity, and test things out. This matters because large firms often lead pricing behavior among firms, so these strategic choices may influence the response of inflation to tariffs more generally. Even within firm size, one often hears that negotiations on price vary considerably by relationship and item.

Conclusion

A key question surrounding tariffs is whether any effects on inflation will resemble a short-lived price increase—as in the simplest textbook model of tariffs—or a more sustained increase to inflation that may warrant tighter Fed monetary policy. When asked in May what will determine the answer, Fed Chair Jerome Powell cited three factors [archived PDF]: 1) the size of the tariff effects; 2) how long it takes to work their way through to prices; and 3) whether inflation expectations remain anchored. The insights shared above suggest the process from proposed tariffs to the prices set by firms is far from instantaneous or clear-cut, particularly when tariff policy is changing.

Sensing from businesses suggests that the impact of tariffs on their price-setting [archived PDF] has been lagged, but it is starting to play out. Nonetheless, it remains highly uncertain how tariffs will impact consumer inflation. The discussion above makes clear that firms are nimble and innovative in the face of challenge, and they are concerned about losing customers in the current environment, particularly consumer-facing firms. We will continue to learn from our business contacts and share their insights.


Views expressed are those of the author(s) and do not necessarily reflect those of the Federal Reserve Bank of Richmond or the Federal Reserve System.

Economics-Watching: Second-Quarter GDP Growth Estimate Unchanged

[from the Federal Reserve Bank of Atlanta]

The growth rate of real gross domestic product (GDP) is a key indicator of economic activity, but the official estimate is released with a delay. The Federal Reserve Bank of Atlanta’s GDPNow forecasting model provides a “nowcast” of the official estimate prior to its release by estimating GDP growth using a methodology similar to the one used by the U.S. Bureau of Economic Analysis.

GDPNow is not an official forecast of the Atlanta Fed. Rather, it is best viewed as a running estimate of real GDP growth based on available economic data for the current measured quarter. There are no subjective adjustments made to GDPNow—the estimate is based solely on the mathematical results of the model.

Recent forecasts for the GDPNow model are available here [archived PDF]. More extensive numerical details—including underlying source data, forecasts, and model parameters—are available as a separate spreadsheet [archived XLSX]. You can also view an archive of recent commentaries from GDPNow estimates.

Please note that the Atlanta Fed no longer supports the GDPNow app. Download the EconomyNow app to get the latest GDP nowcast and more economic data.

Latest estimate: 2.4 percent — July 25, 2025

The GDPNow model estimate for real GDP growth (seasonally adjusted annual rate) in the second quarter of 2025 is 2.4 percent on July 25, unchanged from July 18 after rounding. The forecasts of the major GDP subcomponents were all unchanged or little changed from their July 18 values after this week’s releases from the U.S. Census Bureau and the National Association of Realtors.

The growth rate of real gross domestic product (GDP) measured by the U.S. Bureau of Economic Analysis (BEA) is a key metric of the pace of economic activity. It is one of the four variables included in the economic projections of Federal Reserve Board members and Bank presidents for every other Federal Open Market Committee (FOMC) meeting. As with many economic statistics, GDP estimates are released with a lag whose timing can be important for policymakers. In preparation for FOMC meetings, policymakers have the Fed Board staff projection of this “advance” estimate at their disposal. These projections—available through 2008 at the Philadelphia Fed’s Real Time Data Center—have generally been more accurate than forecasts from simple statistical models. As stated by economists Jon Faust and Jonathan H. Wright in a 2009 paper, “by mirroring key elements of the data construction machinery of the Bureau of Economic Analysis, the Fed staff forms a relatively precise estimate of what BEA will announce for the previous quarter’s GDP even before it is announced.”

The Atlanta Fed GDPNow model also mimics the methods used by the BEA to estimate real GDP growth. The GDPNow forecast is constructed by aggregating statistical model forecasts of 13 subcomponents that comprise GDP. Other private forecasters use similar approaches to “nowcastGDP growth. However, these forecasts are not updated more than once a month or quarter, are not publicly available, or do not have forecasts of the subcomponents of GDP that add “color” to the top-line number. The Atlanta Fed GDPNow model fills these three voids.

The BEA’s advance estimates of the subcomponents of GDP use publicly released data from the U.S. Census Bureau, U.S. Bureau of Labor Statistics, and other sources. Much of this data is displayed in the BEA’s Key Source Data and Assumptions table that accompanies the “advance” GDP estimate. GDPNow relates these source data to their corresponding GDP subcomponents using a “bridge equation” approach similar to the one described in a Minneapolis Fed [archived PDF] study by Preston J. Miller and Daniel M. Chin. Whenever the monthly source data is not available, the missing values are forecasted using econometric techniques similar to those described in papers by James H. Stock and Mark W. Watson and Domenico Giannone, Lucrezia Reichlin, and David Small. A detailed description of the data sources and methods used in the GDPNow model is provided in an accompanying Atlanta Fed working paper [archived PDF].

As more monthly source data becomes available, the GDPNow forecast for a particular quarter evolves and generally becomes more accurate. That said, the forecasting error can still be substantial just prior to the “advance” GDP estimate release. It is important to emphasize that the Atlanta Fed GDPNow forecast is a model projection not subject to judgmental adjustments. It is not an official forecast of the Federal Reserve Bank of Atlanta, its president, the Federal Reserve System, or the FOMC.

“De-Globalization?”

The classic study of the “swirl of processes and events” that ended previous globalization episodes is the theme of Princeton Professor Harold James’ 2002 book, The End of Globalization: Lessons from the Great Depression.

Globalization” is here. Signified by an increasingly close economic interconnection that has led to profound political and social change worldwide, the process seems irreversible. In this book, however, Harold James provides a sobering historical perspective, exploring the circumstances in which the globally integrated world of an earlier era broke down under the pressure of unexpected events.

James examines one of the great historical nightmares of the twentieth century: the collapse of globalism in the Great Depression. Analyzing this collapse in terms of three main components of global economicscapital flows, trade and international migrationJames argues that it was not simply a consequence of the strains of World War I, but resulted from the interplay of resentments against all these elements of mobility, as well as from the policies and institutions designed to assuage the threats of globalism.

Could it happen again? There are significant parallels today: highly integrated systems are inherently vulnerable to collapse, and world financial markets are vulnerable and unstable.

While James does not foresee another Great Depression, his book provides a cautionary tale in which institutions meant to save the world from the consequences of globalization—think WTO and IMF, in our own time—ended by destroying both prosperity and peace.

Legitimate fears about “globalization reversal” have been well put by Zakaria:

Davos, Switzerland

President Trump’s speech here at the World Economic Forum went over relatively well. That’s partly because Davos is a conclave of business executives, and they like Trump’s pro-business message. But mostly, the president’s reception was a testament to the fact that he and what he represents are no longer unusual or exceptional. Look around the world and you will see: Trump and Trumpism have become normalized.

Davos was once the place where countries clamored to demonstrate their commitment to opening up their economies and societies. After all, these forces were producing global growth and lifting hundreds of millions out of poverty. Every year, a different nation would become the star of the forum, usually with a celebrated finance minister who was seen as the architect of a boom. The United States was the most energetic promoter of these twin ideas of economic openness and political freedom.

Today, Davos feels very different. Despite the fact that, throughout the world, growth remains solid and countries are moving ahead, the tenor of the times has changed. Where globalization was once the main topic, today it is the populist backlash to it. Where once there was a firm conviction about the way of the future, today there is uncertainty and unease.

This is not simply atmospherics and rhetoric. Ruchir Sharma of Morgan Stanley Investment Management points out that since 2008, we have entered a phase of “deglobalization.” Global trade, which rose almost uninterruptedly since the 1970s, has stagnated, while capital flows have fallen. Net migration flows from poor countries to rich ones have also dropped. In 2018, net migration to the United States hit its lowest point in a decade.

The shift in approach can best be seen in the case of India. In 2018, Prime Minister Narendra Modi came to Davos to decry the fact that “many countries are becoming inward focused and globalization is shrinking.” Since then, his government has increased tariffs on hundreds of items and taken steps to shield India’s farmers, shopkeepers, digital companies and many others from the dangers of international competition. The Office of the U.S. Trade Representative recently called out India for having the highest tariffs of any major economy in the world.

Indian officials used to aggressively court foreign investment, which was much needed to spur growth. Last week, with India’s economy slowing badly, Jeff Bezos announced a $1 billion investment in the country. (Bezos owns The Post.) But the minister of commerce and industry scoffed at the move, saying Amazon wasn’t “doing a great favor to India” and besides was probably engaging in anti-competitive, “predatory” practices. Often, protectionist policies help favored local producers. Malaysian Prime Minister Mahathir Mohamad recently criticized some of Modi’s policies toward Muslims. The Indian government effectively cut off imports of Malaysian palm oil. In a familiar pattern, one of the chief beneficiaries was a local billionaire long associated with Modi.

The Economist notes that Europe, once one of the chief motors for openness in economics and politics, is also rediscovering state intervention to prop up domestic industries. And if you think the Internet is exempt from these tendencies, think again. The European Center for International Political Economy tracks the number of protectionist measures put in place to “localize” the digital economy in 64 countries. It has been surging for years, especially since 2008.

It’s important not to exaggerate the backlash to globalization.

As a 2019 report by DHL demonstrates, globalization is still strong and, by some measures, continues to expand. People still want to trade, travel and transact across the world. But in government policy, where economic logic once trumped politics, today it is often the reverse. Economist Nouriel Roubini argues that the cumulative result of all these measures — protecting local industries, subsidizing national champions, restricting immigration — is to sap growth. “It means slower growth, fewer jobs, less efficient economies,” he told me recently. We’ve seen it happen many times in the past, not least in India, which suffered decades of stagnation as a result of protectionist policies, and we will see the impact in years to come.

Nevertheless, today, nationalism and protectionism prevail.

This phase of deglobalization is being steered from the top. The world’s leading nations are, as always, the agenda-setters. The example of China, which has shielded some of its markets and still grown rapidly, has made a deep impression on much of the world. Probably deeper still is the example of the planet’s greatest champion of liberty and openness, the United States, which now has a president who calls for managed trade, more limited immigration and protectionist measures. At Davos, Trump invited every nation to follow his example. More and more are complying.

The world is de-globalizing. Trump set the example.The Washington Post, Fareed Zakaria

Students should sense that while history does not repeat itself, it sometimes rhymes and this is a major danger. It also might imply that coping with climate change will be all the harder because American-led unilateralism everywhere would mean world policy paralysis.

Economics-Watching: Texas Service Sector Activity Flat, Outlook Continues to Worsen

[from The Federal Reserve Bank of Dallas]

Growth in Texas service sector activity stalled in October, according to business executives responding to the Texas Service Sector Outlook Survey.

Labor market indicators pointed to no growth in employment and a largely stable workweek,” said Jesus Cañas, Dallas Fed senior business economist. “Price pressures remained unchanged while wage growth eased slightly. Perceptions of broader business conditions continued to worsen in October, as pessimism notably increased.”

Key takeaways from the service sector survey:

  • The revenue index fell eight points to 0.7, with the near-zero reading suggesting little change in activity from September.
  • The employment index fell from 2.7 to 0.1, its lowest level in seven months.
  • The input prices index was flat at 37.3 and the selling prices index remained steady at 9.5.
  • The wages and benefits index fell two points to 17.0, approaching its average reading of 15.8.
  • The general business activity index dropped from -8.6 to -18.2, its lowest level since December of last year, while the company outlook index fell to -12.8, its lowest level in 16 months.

Texas Retail Sales Decline

Retail sales declined again in October while retail labor market indicators reflected a contraction in employment and workweeks,” Cañas said. “Retail labor market indicators reflected flat employment and workweeks. Retailers’ perceptions of broader business conditions were mixed.”

Key takeaways from the retail survey:

  • The sales index fell from -4.4 to -18.1, marking its sixth consecutive month in negative territory.
  • The employment index fell 13 points to -12.4 while the hours worked index fell from 0.6 to -12.1.
  • The general business activity index dropped from -10.2 to -23.0.

The Dallas Fed conducts the survey monthly to obtain a timely assessment of activity in the state’s service sector, which represents almost 70 percent of the state’s economy and employs about 9.5 million workers.        

For this month’s survey, Texas business executives were asked supplemental questions on credit conditions. Results for these questions from the Texas Manufacturing Outlook Survey, Texas Service Sector Outlook Survey and Texas Retail Outlook Survey have been released together.

Read the special questions results.

Economics-Watching: “Doing Nothing” Is Still Doing a Lot

[from the Federal Reserve Bank of Philadelphia, speech by Patrick T. Harker President and Chief Executive Officer at the National Association of Corporate Directors Webinar, Philadelphia, PA (Virtual)]

Good afternoon, everyone.

I appreciate that you’re all giving up part of the end of your workday for us to be together, if only virtually.

My thanks to my good friend, Rick Mroz, for that welcome and introduction.

I do believe we’re going to have a productive session. But just so you all know, as much as I enjoy speaking and providing my outlook, I enjoy a good conversation even more.

So, first, let’s take a few minutes so I can give you my perspective on where we are headed, and then I will be more than happy to take questions and hear what’s on your minds.

But before we get into any of that, I must begin with the standard Fed disclaimer: The views I express today are my own and do not necessarily reflect those of anyone else on the Federal Open Market Committee (FOMC) or in the Federal Reserve System.

Put simply, this is one of those times where the operative words are, “Pat said,” not “the Fed said.”

Now, to begin, I’m going to first address the two topics that I get asked about most often: interest rates and inflation. And I would guess they are the topics front and center in many of your minds as well.

After the FOMC’s last policy rate hike in July, I went on record with my view that, if economic and financial conditions evolved roughly as I expected they would, we could hold rates where they are. And I am pleased that, so far, economic and financial conditions are evolving as I expected, if not perhaps even a tad better.

Let’s look at the current dynamics. There is a steady, if slow, disinflation under way. Labor markets are coming into better balance. And, all the while, economic activity has remained resilient.

Given this, I remain today where I found myself after July’s meeting: Absent a stark turnabout in the data and in what I hear from contacts, I believe that we are at the point where we can hold rates where they are.

In barely more than a year, we increased the policy rate by more than 5 percentage points and to its highest level in more than two decades — 11 rate hikes in a span of 12 meetings prior to September. We not only did a lot, but we did it very fast.

We also turned around our balance sheet policy — and we will continue to tighten financial conditions by shrinking the balance sheet.

The workings of the economy cannot be rushed, and it will take some time for the full impact of the higher rates to be felt. In fact, I have heard a plea from countless contacts, asking to give them some time to absorb the work we have already done.

I agree with them. I am sure policy rates are restrictive, and, as long they remain so, we will steadily press down on inflation and bring markets into a better balance.

Holding rates steady will let monetary policy do its work. By doing nothing, we are still doing something. And I would argue we are doing quite a lot.

Headline PCE inflation remained elevated in August at 3.5 percent year over year, but it is down 3 percentage points from this time last year. About half of that drop is due to the volatile components of energy and food that, while basic necessities, they are typically excluded by economists in the so-called core inflation rate to give a more accurate assessment of the pace of disinflation and its likely path forward.

Well, core PCE inflation has also shown clear signs of progress, and the August monthly reading was its smallest month-over-month increase since 2020.

So, yes, a steady disinflation is under way, and I expect it to continue. My projection is that inflation will drop below 3 percent in 2024 and level out at our 2 percent target thereafter.

However, there can be challenges in assessing the trends in disinflation. For example, September’s CPI report came out modestly on the upside, driven by energy and housing.

Let me be clear about two things. First, we will not tolerate a reacceleration in prices. But second, I do not want to overreact to the normal month-to-month variability of prices. And for all the fancy techniques, the best way to separate a signal from noise remains to average data over several months. Of course, to do so, you need several months of data to start with, which, in turn, demands that, yes, we remain data-dependent but patient and cautious with the data.

Turning to the jobs picture, I do anticipate national unemployment to end the year at about 4 percent — just slightly above where we are now — and to increase slowly over the next year to peak at around 4.5 percent before heading back toward 4 percent in 2025. That is a rate in line with what economists call the natural rate of unemployment, or the theoretical level in which labor market conditions support stable inflation at 2 percent.

Now, that said, as you know, there are many factors that play into the calculation of the unemployment rate. For instance, we’ve seen recent months where, even as the economy added more jobs, the unemployment rate increased because more workers moved off the sidelines and back into the labor force. There are many other dynamics at play, too, such as technological changes or public policy issues, like child care or immigration, which directly impact employment.

And beyond the hard data, I also have to balance the soft data. For example, in my discussions with employers throughout the Third District, I hear that given how hard they’ve worked to find the workers they currently have, they are doing all they can to hold onto them.

So, to sum up the labor picture, let me say, simply, I do not expect mass layoffs.

do expect GDP gains to continue through the end of 2023, before pulling back slightly in 2024. But even as I foresee the rate of GDP growth moderating, I do not see it contracting. And, again, to put it simply, I do not anticipate a recession.

Look, this economy has been nothing if not unpredictable. It has proven itself unwilling to stick to traditional modeling and seems determined to not only bend some rules in one place, but to make up its own in another. However, as frustratingly unpredictable as it has been, it continues to move along.

And this has led me to the following thought: What has fundamentally changed in the economy from, say, 2018 or 2019? In 2018, inflation averaged 2 percent almost to the decimal point and was actually below target in 2019. Unemployment averaged below 4 percent for both years and was as low as 3.5 percent — both nationwide and in our respective states — while policy rates peaked below 2.5 percent.

Now, I’m not saying we’re going to be able to exactly replicate the prepandemic economy, but it is hard to find fundamental differences. Surely, I cannot and will not minimize the immense impacts of the pandemic on our lives and our families, nor the fact that for so many, the new normal still does not feel normal. From the cold lens of economics, I do not see underlying fundamental changes. I could also be wrong, and, trust me, that would not be the first time this economy has made me rethink some of the classic models. We just won’t know for sure until we have more data to look at over time.

And then, of course, there are the economic uncertainties — both national and global — against which we also must contend. The ongoing auto worker strike, among other labor actions. The restart of student loan payments. The potential of a government shutdown. Fast-changing events in response to the tragic attacks against Israel. Russia’s ongoing war against Ukraine. Each and every one deserves a close watch.

These are the broad economic signals we are picking up at the Philadelphia Fed, but I would note that the regional ones we follow are also pointing us forward.

First, while in the Philadelphia Fed’s most recent business outlook surveys, which survey manufacturing and nonmanufacturing firms in the Third District, month-over-month activity declined, the six-month outlooks for each remain optimistic for growth.

And we also publish a monthly summary metric of economic activity, the State Coincident Indexes. In New Jersey, the index is up slightly year over year through August, which shows generally positive conditions. However, the three-month number from June through August was down, and while both payroll employment and average hours worked in manufacturing increased during that time, so did the unemployment rate — though a good part of that increase can be explained as more residents moved back into the labor force.

And for those of you joining us from the western side of the Delaware River, Pennsylvania’s coincident index is up more than 4 percent year over year through August and 1.7 percent since June. Payroll employment was up, and the unemployment rate was down; however, the number of average hours worked in manufacturing decreased.

There are also promising signs in both states in terms of business formation. The number of applications, specifically, for high-propensity businesses — those expected to turn into firms with payroll — are remaining elevated compared with pre-pandemic levels. Again, a promising sign.

So, it is against this full backdrop that I have concluded that now is the time at which the policy rate can remain steady. But I can hear you ask: “How long will rates need to stay high.” Well, I simply cannot say at this moment. My forecasts are based on what we know as of late 2023. As time goes by, as adjustments are completed, and as we have more data and insights on the underlying trends, I may need to adjust my forecasts, and with them my time frames.

I can tell you three things about my views on future policy. First, I expect rates will need to stay high for a while.

Second, the data and what I hear from contacts and outreach will signal to me when the time comes to adjust policy either way. I really do not expect it, but if inflation were to rebound, I know I would not hesitate to support further rate increases as our objective to return inflation to target is, simply, not negotiable.

Third, I believe that a resolute, but patient, monetary policy stance will allow us to achieve the soft landing that we all wish for our economy.

Before I conclude and turn things over to Rick to kick off our Q&A, I do want to spend a moment on a topic that he and I recently discussed, and it’s something about which I know there is generally great interest: fintech. In fact, I understand there is discussion about NACD hosting a conference on fintech.

Well, last month, we at the Philadelphia Fed hosted our Seventh Annual Fintech Conference, which brought business and thought leaders together at the Bank for two days of real in-depth discussions. And I am extraordinarily proud of the fact that the Philadelphia Fed’s conference has emerged as one of the premier conferences on fintech, anywhere. Not that it’s a competition.

I had the pleasure of opening this year’s conference, which always puts a focus on shifts in the fintech landscape. Much of this year’s conference centered around developments in digital currencies and crypto — and, believe me, some of the discussions were a little, shall we say, “spirited.” However, my overarching point to attendees was the following: Regardless of one’s views, whether in favor of or against such currencies, our reality requires us to move from thinking in terms of “what if” to thinking about “what next.”

In many ways, we’re beyond the stage of thinking about crypto and digital currency and into the stage of having them as reality — just as AI has moved from being the stuff of science fiction to the stuff of everyday life. What is needed now is critical thinking about what is next. And we at the Federal Reserve, both here in Philadelphia and System-wide, are focused on being part of this discussion.

We are also focused on providing not just thought leadership but actionable leadership. For example, the Fed rolled out our new FedNow instant payment service platform in July. With FedNow, we will have a more nimble and responsive banking system.

To be sure, FedNow is not the first instant payment system — other systems, whether operated by individual banks or through third parties, have been operational for some time. But by allowing banks to interact with each other quickly and efficiently to ensure one customer’s payment becomes another’s deposit, we are fulfilling our role in providing a fair and equitable payment system.

Another area where the Fed is assuming a mantle of leadership is in quantum computing, or QC, which has the potential to revolutionize security and problem-solving methodologies throughout the banking and financial services industry. But that upside also comes with a real downside risk, should other not-so-friendly actors co-opt QC for their own purposes.

Right now, individual institutions and other central banks globally are expanding their own research in QC. But just as these institutions look to the Fed for economic leadership, so, too, are they looking to us for technological leadership. So, I am especially proud that this System-wide effort is being led from right here at the Philadelphia Fed.

I could go on and talk about fintech for much longer. After all, I’m actually an engineer more than I am an economist. But I know that Rick is interested in starting our conversation, and I am sure that many of you are ready to participate.

But one last thought on fintech — my answers today aren’t going to be generated by ChatGPT.

On that note, Rick, thanks for allowing me the time to set up our discussion, and let’s start with the Q&A.

[archived PDF of the above speech]

Education and Circular Causation: Everything Causes Everything Else

The student will have seen in these educational essays the notion of “Husserl’s rhomboid”:

The great philosopher, Edmund Husserl, who died in 1938, would bring a matchbox to class and show his students they see parts and some surface area of the matchbox (a kind of rhomboid, hence the name “Husserl’s rhomboid”) but never all of it at the same time. Students can walk around the matchbox and see facets. They can twirl the matchbox but whatever they do, the students cannot “espy” or glimpse all of it except in their imaginations, once they have been exposed to all of it, side by side, facet by facet.

Gunnar Myrdal, the Swedish economist who won the Nobel Prize in 1974, has something a bit analogous when he speaks of “circular cumulative causation”:

Circular cumulative causation is a theory developed by Swedish economist Gunnar Myrdal in 1956. It is a multi-causal approach where the core variables and their linkages are delineated. The idea behind it is that a change in one form of an institution will lead to successive changes in other institutions. These changes are circular in that they continue in a cycle, many times in a negative way, in which there is no end, and cumulative in that they persist in each round. The change does not occur all at once, which would lead to chaos, rather the changes occur gradually.

Gunnar Myrdal developed the concept from Knut Wicksell and developed it with Nicholas Kaldor when they worked together at the United Nations Economic Commission for Europe.

In the characteristics relevant to an economy’s development process, Myrdal mentioned the availability of natural resources, the historical traditions of production activity, national cohesion, religions and ideologies, and economic, social and political leadership.

He writes:

“The notion of stable equilibrium is normally a false analogy to choose when constructing a theory to explain the changes in a social system.

What is wrong with the stable equilibrium assumption as applied to social reality is the very idea that a social process follows a direction—though it might move towards it in a circuitous way—towards a position which in some sense or other can be described as a state of equilibrium between forces. Behind this idea is another and still more basic assumption, namely that a change will regularly call forth a reaction in the system in the form of changes which on the whole go in the opposite direction to the first change. The idea I want to expound in this book is that, on the contrary, in the normal case there is no such a tendency towards automatic self-stabilisation in the social system. The system is by itself not moving towards any sort of balance between forces, but is constantly on the move away from such a situation. In the normal case a change does not call forth countervailing changes but, instead, supporting changes, which move the system in the same direction as the first change but much further. Because of such circular causation as a social process tends to become cumulative and often gather speed at an accelerating rate…”

(Gunnar Myrdal, Economic Theory and Underdeveloped Regions, Gerald Duckworth, 1957, pp. 12–13)

Myrdal developed further the circular cumulative causation concept and stated that it makes different assumptions from that of stable equilibrium on what can be considered the most important forces guiding the evolution of social processes. These forces characterize the dynamics of these processes in two diverse ways.

These essays that you are reading here are examples encouraging students to put causes in a kind of circle: history exists because economics exists because psychology exists because society exists because history exists. Everything is causing everything else. There isn’t a simple “linear parade.”

By way of contrast, in a person’s private life, he/she went to the dentist before buying the batteries and after having lunch. There’s a timeline of events.

In history, there are such linear timelines also: John Kennedy was assassinated before Donald Trump became president. You had breakfast before dinner. You slept before you got up in the morning.

However, processes (industrialism, migration, urbanization, inflation, etc.) are not analyzable as events like meals and one-time occurrences but are more like getting old or learning a language.

Multi-causal interpretations and circular causes get the student out of simple, “this happened and that happened” in favor of “this and that caused each other, going both ways and interacting with other pressures too.” Everything is causing and altering everything else in all directions.

EconoSpeak: Tariffs and Inflation

[from EconoSpeak, posted by Kevin Quinn]

Jason Furman and Janet Yellen have both suggested that cutting Trump’s tariffs would  be anti-inflationary. But most economists agree that the incidence of the tariffs is for the most part on U.S. consumers, not foreign suppliers (pace the treasonous and ignorant former president, who crowed about all the revenues we were raising from China). So how is a tax cut anti-inflationary?  There is a supply-side effect, which is all to the good, but the demand-side effects may well wash that out. So get rid of the tariffs but reverse the Trump tax cuts, which Manchin favors, through reconciliation. Taxes remain the same, so we’ve neutralized the effects on demand; and we still get the good supply side effects of a more rational global division of labor.

Education and the Question of Intuition

An intuition pump is a thought experiment structured to allow the thinker to use his or her intuition to develop an answer to a problem. The phrase was popularized in the 1991 book Consciousness Explained by Tufts philosophy and neuroscience professor, Daniel Dennett.

We argue in this education-completing book, that our intuitions are puzzling in a way that “intuition pump” talk does not cope with at all.

Let’s go immediately to the example of simple versus compound interest in basic finance.

You borrow $100.00 for a year at an annual interest of 100%, without compounding and hence simple. A year passes and you owe the lender the initial $100 plus one hundred percent of this amount (i.e., another hundred). In a year, you owe $200.00, and every year thereafter, if the lender is willing to extend the loan, you owe another hundred to “rent” the initial hundred.

This is written as A+iA, where A is the initial amount (i.e., $100.00) and i is the interest. This can be re-written as A(1+i)n where n is the number of years. Thus, if n=1, you owe: A(1+i), which is 100×2 (i.e., the $200 we just saw). There’s nothing tricky in this.

You then are introduced to compound interest (i.e., where the interest accumulates interest). You can see where compounding by 6 months (semi-annually, or half a year) or 12 months involves dividing the n (the exponent over 1+i) by 12 months, two half-years or 365 days. You could routinely go to days and hours and minutes and seconds and nanoseconds and you could calculate interest payments compounding for each case.

But here is where your intuition falters and fails: suppose you compound continuously?

You get to the number e as growth factor where e=2.71823

Simple algebra does show that at 100% interest, $100 of a loan becomes $100 multiplied by e1 (hundred percent=1) or just e (i.e., you owe $100e).

This gives you $271.82.

So what has happened?

At one hundred percent simple interest you owe $200.00 to the lender. Continuous compounding means you owe $271.82. Instead of owing $100 in interest, you owe $171.82. Your interest bill has gone up by $71.82 or about 72 percent.

Does that seem intuitive? Probably not.

How could one ever apply an “intuition pump” to this arithmetic? We get to the 72% increase in interest by using e which has nothing very intuitive about it. Thus it’s not clear that “intuition pumps” will work here.

You use compound interest arithmetic to get a number which you would never have been able to estimate based on standard intuition since like the 22/7 or 3.14 for π (pi), there’s nothing to “recommend” 2.71823 in and of itself. This means that the link between computational arithmetic understanding and your “gut” or “sixth sense” is feeble at best.

By exploring this way of thinking you could deepen your “meta-intelligence” (i.e., perspective-enhancement). The British economist Pigou (Keynes’s teacher) says that people have a “defective telescopic facility” (i.e., have a poor or even erroneous sense of time-distance).

How one might strengthen one’s sense of time-distance or “far horizons” is not clear.