Image of servers in a restaurant generated by ChatGTP-4o.
How should you track over time the real wagees of low-wage workers? If you are interested in income mobility, you would want to track the experience over the course of their working lives of individuals who began their careers in low-wage occupations. Doing so would allow you to measure how well (or poorly) the U.S. economy succeeds in providing individuals with opportunities to improve their incomes over time.
You might also be interested in how the real wages of people who earn low wages has changed over time. In this case, rather than tracing the wages over time of individuals who earn low wages when they first enter the labor market, you would look at the real wages of people who earn low wages at any given time. The simplest way to do that analysis would be using data on the average nominal wage earned by, say, the lowest 20 percent of wage earners, and deflate the average nominal wage by a price index to determine the average real wage of these workers. How the average real wage of low-wage workers varies over time provides some insight into the changing standard of living of low-wage workers.
In a recent Substack post, Ernie Tedeschi, Director of Economics at the Budget Lab research center at Yale University, has carried out a careful analysis of movements over time in the average real wage of low-wage workers. Tedeschi points out a complicating factor in this analysis: “The population has gotten older over time and more educated. The workforce looks different too, with more workers in services and fewer in manufacturing. Shifting populations means that comparisons of workers aren’t apples-to-apples over time.”
To correct for these confounding factors, Tedeschi constructs a low-wage index that makes it possible to examine the real wage of low-wage workers, holding constant the composition of low-wage workers with respect to “sex, age, race, college education, and broad industry and occupation” at the values of these characteristics in 2023. Using this approach, makes it possible to separate changes in wages of workers with given characteristics from changes in wages that occur because the average characteristics of workers has changed. For example, on average, workers who are older or who have more years of education will be more productive and, therefore, on average will earn higher wages than will workers who are younger or have fewer years of education.
The following figure from Tedeschi’sSubstack post shows movements in his low-wage index during each quarter from the first quarter of 1979 to the first quarter of 2024, with “low wage” defined as workers at the 25th precentile of the distribution of wages. (That is, 24 percent of workers receive lower wages and 75 percent of workers receive higher wages than do these workers.) The index shows that a low-wage worker in 2024 has a much higher real wage than a low-wage worker in 1979, but the increase in the average real wage occurs mainly during two periods: 1997–2007 and 2014–2024. (Tedeschi uses the person consumption expenditures (PCE) price index to convert nominal wages to real wages.)
A more complete discussion of Tedeschi’s methods and results can be found in his blog post.
Jerome Powell arriving to testify before Congress. (Photo from Bloomberg News via the Wall Street Journal.)
Each month the Bureau of Labor Statistics (BLS) releases its “Employment Situation” report. As we’ve discussed in previous blog posts, discussions of the report in the media, on Wall Street, and among policymakers center on the estimate of the net increase in employment that the BLS calculates from the establishment survey.
How should the members of the Fed’s policy-making Federal Open Market Committee interpret these data? For instance, the BLS reported that the net increases in employment in June was 206,000. (Always worth bearing in mind that the monthly data are subject to—sometimes substantial—revisions.) Does a net increase of employment of that size indicate that the labor market is still running hot—with the quantity of labor demanded by businesses being greater than the quantity of labor workers are supplying—or that the market is becoming balanced with the quantity of labor demanded roughly equal to the quantity of labor supplied?
On July 9, in testimony before the Senate Banking Committee indicated that his interpretation of labor market data indicate that: “The labor market appears to be fully back in balance.” One interpretation of the labor market being in balance is that the number of net new jobs the economy creates is enough to keep up with population growth. In recent years, that number has been estimated to be 70,000 to 100,000. The number is difficult to estimate with precision for two main reasons:
There is some uncertainty about the number of older workers who will retire. The more workers who retire, the fewer net new jobs the economy needs to create to accommodate population growth.
More importantly, estimates of population growth are uncertain, largely because of disagreements among economists and demographers over the number of immigrants who have entered the United States in recent years.
In calculating the unemployment rate and the size of the labor force, the BLS relies on estimates of population from the Census Bureau. In a January report, the Congressional Budget Office (CBO) argued that the Census Bureau’s estimate of the population of the United States is too low by about 6 million people. As the following figure from the CBO report indicates, the CBO believes that the Census Bureau has underestimated how much immigration has occurred and what the level of immigration is likely to be over the next few years. (In the figure, SSA refers to the Social Security Administration, which also makes forecasts of population growth.)
Some economists and policymakers have been surprised that low levels of unemployment and large monthly increases in employment have not resulted in greater upward pressure on wages. If the CBO’s estimates are correct, the supply of labor has been increasing more rapidly than is indicated by census data, which may account for the relative lack of upward pressure on wages. If the CBO’s estimates of population growth are correct, a net increase in employment of 200,000, as occured in June, may be about the number necessary to accommodate growth in the labor force. In other words, Chair Powell would be correct that the labor market was in balance in June.
In a recent publication, economists Nicolas Petrosky-Nadeau and Stephanie A. Stewart of the Federal Reserve Bank of San Francisco look at a related concept: breakeven employment growth—the rate of employment growth required to keep the unemployment rate unchanged. They estimate that high rates of immigration during the past few years have raised the rate of breakeven employment growth from 70,000 to 90,000 jobs per month to 230,000 jobs per month. This analysis would be consistent with the fact that as net employment increases have averaged 177,000 over the past three months—somewhat below their estimate of breakeven employment growth—the unemployment rate has increased from 3.8 percent to 4.1 percent.
Image of “a family shopping in a supermarket” generated by ChatGTP 4o.
In testifying before Congress this week, Federal Reserve Chair Jerome Powell indicated that the Fed’s policy-making Federal Open Market Committee (FOMC) was becoming more concerned that it not be too late in reducing its target for the federal funds rate:
“[I]n light of the progress made both in lowering inflation and in cooling the labor market over the past two years, elevated inflation is not the only risk we face. Reducing policy restraint too late or too little could unduly weaken economic activity and employment.”
Powell also noted that: “more good data would strengthen our confidence that inflation is moving sustainably toward 2 percent.” Today (July 11), Powell received more good data as the Bureau of Labor Statistics (BLS) released its monthly report on the consumer price index (CPI), which showed a further slowing in inflation.
As the following figure shows, the inflation rate for June measured by the percentage change in the CPI from the same month in the previous month—headline inflation (the blue line)—was 3.o percent down from 3.3 percent in May. Core inflation (the red line)—which excludes the prices of food and energy—was 3.3 percent in June, down from 3.4 percent in May.
As the following figure shows, if we look at the 1-month inflation rate for headline and core inflation—that is the annual inflation rate calculated by compounding the current month’s rate over an entire year—the declines in the inflation rate are much larger. Headline inflation (the blue line) declined from 0.1 percent in May to –0.7 in June—consumer prices fell during June. Core inflation (the red line) declined from 2.0 percent in May to 0.8 percent in June. Overall, we can say that inflation has cooled further in June, bringing the U.S. economy closer to a soft landing—with the annual inflation rate returning to the Fed’s 2 percent target without the economy being pushed into a recession. (Note, though, that the Fed uses the personal consumption expenditures (PCE) price index, rather than the CPI in evaluating whether it is hitting its 2 percent inflation target.)
The FOMC has been looking closely at inflation in the price of shelter. The price of “shelter” in the CPI, as explained here, includes both rent paid for an apartment or house and “owners’ equivalent rent of residences (OER),” which is an estimate of what a house (or apartment) would rent for if the owner were renting it out. OER is included to account for the value of the services an owner receives from living in an apartment or house.
As the following figure shows, inflation in the price of shelter has been a significant contributor to headline inflation. The blue line shows 12-month inflation in shelter and the red line shows 1-month inflation in shelter. Twelve-month inflation in shelter continued its decline that began in the spring of 2023. One-month inflation in shelter declined substantially from 4.9 percent in May to 2.1 percent in June. These values indicate that the price of shelter may no longer be a significant driver of headline inflation.
Finally, in order to get a better estimate of the underlying trend in inflation, some economists look at median inflation and trimmed mean inflation. Meadin inflation is calculated by economists at the Federal Reserve Bank of Cleveland and Ohio State University. If we listed the inflation rate in each individual good or service in the CPI, median inflation is the inflation rate of the good or service that is in the middle of the list—that is, the inflation rate in the price of the good or service that has an equal number of higher and lower inflation rates. Trimmed mean inflation drops the 8 percent of good and services with the higherst inflation rates and the 8 percent of goods and services with the lowest inflation rates.
As the following figure (from the Federal Reserve Bank of Cleveland) shows, both median inflation (the brown line) and trimmed mean inflation (the blue line) were somewhat higher than either headline CPI inflation or core CPI inflation. One conclusion from these data is that headline and core inflation may be somewhat understating the underlying rate of inflation.
Financial markets are interpreting the most inflation and employment data as indicating that at its meeting on Septembe 17-18 the FOMC is likely to cut its target range for the federal funds rate from the current 5.25 percent to 5.50 to 5.00 percent to 5.25 percent.
Futures markets allow investors to buy and sell futures contracts on commodities–such as wheat and oil–and on financial assets. Investors can use futures contracts both to hedge against risk—such as a sudden increase in oil prices or in interest rates—and to speculate by, in effect, betting on whether the price of a commodity or financial asset is likely to rise or fall. (We discuss the mechanics of futures markets in Chapter 7, Section 7.3 of Money, Banking, and the Financial System.) The CME Group was formed from several futures markets, including the Chicago Mercantile Exchange, and allows investors to trade federal funds futures contracts. The data that result from trading on the CME indicate what investors in financial markets expect future values of the federal funds rate to be. The following chart from the CME’s FedWatch Tool shows the current values from trading of federal funds futures.
The probabilities in the chart reflect investors’ predictions of what the FOMC’s target for the federal funds rate will be after the committee’s September meeting. The chart indicates that investors assign a probability of only 8.1 percent to the FOMC leaving its federal funds rate target unchanged at its September meeting, but a 84.6 percent probability of the committee cutting its target by 0.25 percentage point (and a 7.3 percent probability of the committee cutting its target by 0.50 percent age point).
Recent macroeconomic data have been sending mixed signals about the state of the U.S. economy. The growth in real GDP, industrial production, retail sales, and real consumption spending has been slowing. Growth in employment has been a bright spot—showing steady net increases in job growth above the level necessary to keep up with population growth. Even here, though, as we discuss in a recent blog post, the data may be overstating the actual strength of the labor market.
This morning (July 5), the Bureau of Labor Statistics (BLS) released its “Employment Situation” report (often referred to as the “jobs report”) for June, which, while seemingly indicating continued strong job growth, also provides some indications that the labor market may be weakening. The jobs report has two estimates of the change in employment during the month: one estimate from the establishment survey, often referred to as the payroll survey, and one from the household survey. As we discuss in Macroeconomics, Chapter 9, Section 9.1 (Economics, Chapter 19, Section 19.1), many economists and policymakers at the Federal Reserve believe that employment data from the establishment survey provides a more accurate indicator of the state of the labor market than do either the employment data or the unemployment data from the household survey. (The groups included in the employment estimates from the two surveys are somewhat different, as we discuss in this post.)
According to the establishment survey, there was a net increase of 206,000 jobs during April. This increase was a little above the increase of 1900,000 to 200,000 that economists had forecast in surveys by the Wall Street Journal and bloomberg.com. The following figure, taken from the BLS report, shows the monthly net changes in employment for each month during the past to years.
It’s notable that the previously reported increases in employment for April and May were revised downward by 110,000 jobs, or by about 25 percent. (The BLS notes that: “Monthly revisions result from additional reports received from businesses and government agencies since the last published estimates and from the recalculation of seasonal factors.”) As we’ve discussed in previous posts (most recently here), revisions to the payroll employment estimates can be particularly large at the beginning of a recession.
As the following figure shows, the net change in jobs from the household survey moves much more erratically than does the net change in jobs in the establishment survey. The net increase in jobs as measured by the household survey increased from –408,000 in May (that is, employment by this measure fell during May) to 116,000 in June.
Note that the BLS also reports a survey for household employment adjusted to conform to the concepts and definitions used to construct the payroll employment series. After this adjustment, over the past 12 months household employment has increased by 32.5 million less than has payroll employment. Clearly, this is a very large discrepancy and may be indicating that the payroll survey is substantially overstating growth in employment.
The unemployment rate, which is also reported in the household survey, ticked up slightly from 4.0 percent to 4.1 percent. Although still low by historical standards, June was the fourth consecutive month in which the unemployment rate increased.
The establishment survey also includes data on average hourly earnings (AHE). As we note in this post, many economists and policymakers believe the employment cost index (ECI) is a better measure of wage pressures in the economy than is the AHE. The AHE does have the important advantage that it is available monthly, whereas the ECI is only available quarterly. The following figure show the percentage change in the AHE from the same month in the previous year. The 3.9 percent increase for June continues a downward trend that began in January and is the smallest increase since June 2021.
The following figure shows wage inflation calculated by compounding the current month’s rate over an entire year. (The figure above shows what is sometimes called 12-month wage inflation, whereas this figure shows 1-month wage inflation.) One-month wage inflation is much more volatile than 12-month inflation—note the very large swings in 1-month wage inflation in April and May 2020 during the business closures caused by the Covid pandemic.
The 1-month rate of wage inflation of 3.5 percent in June is a significant decrease from the 5.3 percent rate in May, although it’s unclear whether the decline was an additional sign that the labor market is weakening or reflected the greater volatility in wage inflation when calculated this way.
What effect is today’s job reports likely to have on the Fed’s policy-making Federal Open Market Committee as it considers changes in its target for the federal funds rate? As always, it’s a good idea not to rely too heavily on a single data point—particularly because, as we noted earlier, the establishment survey employment data is subject to substantial revisions. But the Wall Street Journal’sheadline that the “Case for September Rate Cut Builds After Slower Jobs Data,” seems likely to be accurate.
When inflation began to accelerate in the spring of 2022, the highly unusual situation in the U.S. labor market was one of the reasons. This morning (July 2), the Bureau of Labor Statistics (BLS) released its “Job Openings and Labor Turnover” (JOLTS) report for May 2024. The report proivided more data indicating that the U.S. labor market is continuing its return to pre-pandemic conditions.
The following figures shows the total number of job openings. The BLS defines a job opening as a full-time or part-time job that a firm is advertising and that will start within 30 days. Although the total number of job openings, at 8.1 million, is still somewhat above pre-pandemic levels, it has been gradually declining since reaching a peak of 12.2 million in March 2022.
The next figure shows that, at 4.9 percent, the rate of job openings has continued its slow decline from 7.4 percent in March 2022. The rate in May was just slightly above the rate in January 2019, although it was till above the rates during most of 2019 and early 2020, as well as the rates during most of the period following the Great Recession of 2007–2009. The rate of job openings is defined by the BLS as the number of job openings divided by the number of job openings plus the number of employed workers, multiplied by 100.
In the following figure, we compare the total number of job openings to the total number of people unemployed. The figure shows a slow decline from a peak of more than 2 job openings per unemployed person in the spring of 2022 to 1.2 job openings per employed person in May 2024—the same as in April and about the same as in 2019 and early 2020, before the pandemic. Note that the number is still above 1.0, indicating that the demand for labor is still high, although no higher than during the strong labor market of 2019.
The rate at which workers are willing to quit their jobs is an indication of how they perceive the ease of finding a new job. As the following figure shows, the quit rate declined slowly from a peak of 3 percent in late 2021 and early 2022 to 2.2 percent in November 2023, where it has remained through May 2024. That rate is slightly below the rate during 2019 and early 2020. By this measure, workers perceptions of the state of the labor market seem largely unchanged in recent months.
The JOLTS data indicate that the labor market is about as strong as it was in the months priod to the start of the pandemic, but it’s not as historically tight as it was through most of 2022 and 2023. Speaking today at a conference hosted by the European Central Bank, Fed Chair Jerome Powell was quoted as saying that the Fed had made “a lot of progress” in reducing inflation and that the labor market had made “a pretty substantial” move toward a better balance between labor demand and labor supply.
On Friday morning, the BLS will release its “Employment Situation” report for June, which will provide additional data on the state of the labor market. (Note that the data in the JOLTS report lag the data in the “Employment Situation” report by one month.)
Supports: Microeconomics and Economics, Chapter 6, and Essentials of Economics, Chapter 7.
Photo from the New York Times.
An article in the Wall Street Journal reported that Starbucks during certain periods is cutting by 50 percent the prices of many of its coffees, including its Frappuccino. The article also noted that: “Many restaurant chains are pumping out new deals this year in a bid to reverse weak traffic.” The article also quoted a Starbucks spokesman as saying that Starbucks is cutting prices “to ensure that consumers who are facing a challenging economic environment continue to visit its cafes.”
What is Starbucks likely assuming about the price elasticity of demand for Frappuccinos?
Suppose that after cutting its price of Frappuccinos by 50 percent, the quantity of Frappuccinos sold increases by 20 percent. Ignoring any information other than the values of the price cut and the quantity increase, calculate the price elasticity of demand for Frappuccinos. Considering only the value of the price elasticity of demand you calculated, will Starbucks earn more revenue or less revenue from selling Frappuccions as a result of the price cut? Briefly explain.
Suppose that during the time that Starbucks cuts the price of Frappuccinos, competing coffee houses also cut the prices of their coffees. How will this fact affect your answer to part b.? Briefly explain.
Does the fact that, because of inflation, some consumers are facing a “challenging economic environment” affect your answer to part b.? Briefly explain.
Solving the Problem
Step 1: Review the chapter material. This problem is about the determinants of the price elasticity of demand and the effect of the value of the price elasticity of demand on a firm’s revenue following a price change, so you may want to review Chapter 6, Section 6.2 and Section 6.3.
Step 2: Answer part a. by explaining what Starbucks is likely assuming about the price elasticity of demand for Frappuccinos. Starbucks appears to be assuming that the demand for Frappuccions is price elastic, in which case a cut in the price will result in a more than proportional increase in the quantity of Frappuccions demanded.
Step 3: Answer part b. by using the values given to calculate the price elasticity of demand for Frappuccions and explain whether as a result of the price cut Starbucks will earn more or less revenue from selling Frappuccinos.If all other factors affecting the demand for a product are held constant, the price elasticity of demand equals the percentage change in the quantity demanded divided by the percentage change in price. Therefore, in this case the price elasticity of demand for Frappuccinos equals 20%/–50% = –0.4. Therefore, relying just on the information on the changes in the price and quantity demanded, the demand for Frappuccinos is price inelastic. As explained in Section 6.5, when demand is price inelastic, a cut in price will result in a decrease in revenue.
Step 4: Answer part c. by explaining whether other coffee houses cutting the prices of their coffees will affect your calculation from part b. of the price elasticity of demand for Frappuccinos. The calculation in part b. assumes that during the time that Starbucks cuts the price of Frappuccinos, nothing else that affects demand will have changed. We know that the coffees sold by other coffee houses are substitutes for Frappuccinos. So we would expect that if other coffeehouses cut the prices of their coffees, the demand curve for Frappuccinos will shift to the left. The 20 percent increase in the quantity of Frappuccions sold reflects the effects of both the price cut and the shift in the demand curve for Frappuccinos. Therefore our calculation of the price elasticity of demand for Frappuccinos is inaccurate. It’s likely that the price elasticity is larger (in absolute value) than the value we caculated in part b.
Step 5: Answer part d. by explaining whether the fact that some consumers are facing a “challenging economic environment” affects your answer to part b. The answer to part d. is similar to the answer to part c. If the fact that some consumers are facing a “challenging economic environment” means that these consumers are less likely to be buying coffee and other products away from home, then the demand curve for Frappuccinos will have shifted to the left during the period that Starbucks cut the price of these coffees. As a result, the value we computed for the price elasticity of demand in part b. will be inaccurate. Taken together, the factors mentioned in parts c. and d. indicate the difficulties that firms have in calculating the price elasticity of demand for their products during a time period when several factors that affect the demand for the products may be changing.
Chair Jerome Powell and other members of the Federal Open Market Committee (Photo from federalreserve.gov)
On Friday, June 28, the Bureau of Economic Analysis (BEA) released its “Personal Income and Outlays” report for April, which includes monthly data on the personal consumption expenditures (PCE) price index. Inflation as measured by annual changes in the consumer price index (CPI) receives the most attention in the media, but the Federal Reserve looks instead to inflation as measured by annual changes in the PCE price index to evaluate whether it’s meeting its 2 percent annual inflation target.
The following figure shows PCE inflation (blue line) and core PCE inflation (red line)—which excludes energy and food prices—for the period since January 2015 with inflation measured as the change in the PCE from the same month in the previous year. Measured this way, in May PCE inflation (the blue line) was 2.6 percent in May, down slightly from PCE inflation of 2.7 percent in April. Core PCE inflation (the red line) in May was also 2.6 percent, down from 2.8 percent in April.
The following figure shows PCE inflation and core PCE inflation calculated by compounding the current month’s rate over an entire year. (The figure above shows what is sometimes called 12-month inflation, while this figure shows 1-month inflation.) Measured this way, PCE inflation sharply declined from 3.2 percent in April to -0.1 percent in in May—meaning that consumer prices actually fell during May. Core PCE inflation declined from 3.2 percent in April to 1.0 percent in May. This decline indicates that inflation by either meansure slowed substantially in May, but data for a single month should be interpreted with caution.
The following figure shows another way of gauging inflation by including the 12-month inflation rate in the PCE (the same as shown in the figure above—although note that PCE inflation is now the red line rather than the blue line), inflation as measured using only the prices of the services included in the PCE (the green line), and the trimmed mean rate of PCE inflation (the blue line). Fed Chair Jerome Powell and other members of the Federal Open Market Committee (FOMC) have said that they are concerned by the persistence of elevated rates of inflation in services. The trimmed mean measure is compiled by economists at the Federal Reserve Bank of Dallas by dropping from the PCE the goods and services that have the highest and lowest rates of inflation. It can be thought of as another way of looking at core inflation by excluding the prices of goods and services that had particularly high or particularly low rates of inflation during the month.
Inflation using the trimmed mean measure was 2.8 percent in May (calculated as a 12-month inflation rate), down only slightly from 2.9 percent in April—and still well above the Fed’s target inflation rate of 2 percent. Inflation in services remained high in May at 3.9 percent, down only slightly from 4.0 percent in April.
This month’s PCE inflation data indicate that the inflation rate is still declining towards the Fed’s target, with the low 1-month inflation rates being particularly encouraging. But the FOMC will likely need additional data before deciding to lower the committee’s target for the federal funds rate, which is currently 5.25 percent to 5.50 percent. The next meeting of the FOMC is July 30-31. What do financial markets think the FOMC will decide at that meeting?
Futures markets allow investors to buy and sell futures contracts on commodities–such as wheat and oil–and on financial assets. Investors can use futures contracts both to hedge against risk—such as a sudden increase in oil prices or in interest rates—and to speculate by, in effect, betting on whether the price of a commodity or financial asset is likely to rise or fall. (We discuss the mechanics of futures markets in Chapter 7, Section 7.3 of Money, Banking, and the Financial System.) The CME Group was formed from several futures markets, including the Chicago Mercantile Exchange, and allows investors to trade federal funds futures contracts. The data that result from trading on the CME indicate what investors in financial markets expect future values of the federal funds rate to be. The following chart from the CME’s FedWatch Tool shows the current values from trading of federal funds futures.
The probabilities in the chart reflect investors’ predictions of what the FOMC’s target for the federal funds rate will be after the committee’s July meeting. The chart indicates that investors assign a probability of only 10.3 percent to the FOMC cutting its federal funds rate target by 0.25 percentage point at that meeting and an 89.7 percent probability of the commitee leaving the target unchanged.
In contrast, the following figure shows that investors expect that the FOMC will cut its federal funds rate at the meeting scheduled for September 17-18. Investors assign a 57.9 percent probability of a 0.25 percentage point cut and a 6.2 percent probability of a 0.50 percentage point cut. The committee deciding to leave the target unchanged at 5.25 percent to 5.50 percent is assigned a probability of only 35.9 percent.
Presidents Biden and Trump during one of their 2020 debates. (Photo from the Wall Street Journal)
On the eve of first debate between President Joe Biden and former President Donald Trump, Glenn reflects on the fundamentals of sound economic policy. This essay first appeared inNational Affairs.
The advent of “Bidenomics” has resurrected decades-old debates about the merits of markets versus industrial policy. When President Joe Biden announced his eponymous strategy in June 2023, he blasted what he described as “40 years of Republican trickle-down economics” and insisted that he would seek instead to build “an economy from the middle out and the bottom up, not the top down.” He would achieve this through “targeted investments” in technologies like semiconductors, batteries, and electric cars — all of which featured heavily in initiatives like the CHIPS and Science Act and the Inflation Reduction Act. Yet despite the president’s professed support for a “middle out” economics, Bidenomics has thus far proven to be less of an intellectual framework than a set of well-intended yet ill-fated industrial-policy interventions implemented from the top down.
Some conservatives have joined Biden in embracing industrial policy. Writing recently in these pages, Republican senator Marco Rubio of Florida asserted that while it is difficult to “get industrial policy right, conservatives can and must take ownership of this space to keep the American economy strong and free.” Former president Donald Trump, for his part, staunchly advocates heavy tariffs to promote domestic manufacturing.
Conservatives who adopt their own version of protectionist tinkering with markets are missing an important opportunity. As mercantilism’s decline did for classical liberalism in the 19th century and Keynesianism’s misadventures did for neoliberalism in the 20th, Bidenomics’ failures offer an opening for the right to champion a new type of economics — one that puts opportunity for the people ahead of the economic rules of the game.
Rapid globalization and technological change have left too many Americans behind. But the answer is not for the state to invest in costly projects with dubious prospects, nor is it to adopt a strictly laissez-faire approach to the economy. By reviving classically liberal ideas about competition and opportunity in the face of change, conservatives can promote an alternative economics that retains the enormous benefits of markets and openness while putting people first.
LIBERALISM’S RISE AND FALL
Before “Bidenomics” became a popular term, national-security advisor Jake Sullivan hinted at the president’s economic priorities in an April 2023 speech at the Brookings Institution. There, he declared that a “new Washington consensus” had formed around a “modern industrial and innovation strategy,” which would correct for the excesses of the free-market orthodoxy propagated by the likes of Adam Smith, Friedrich Hayek, and Milton Friedman.
This orthodoxy, according to Sullivan, “championed tax cutting and deregulation, privatization over public action, and trade liberalization as an end in itself,” all of which eroded the nation’s industrial and social foundations. Finally, after nearly three decades of such policies, two “shocks” — the global financial crisis of 2007-2009 and the Covid-19 pandemic — ”laid bare the limits” of liberalism. The time had come, Sullivan concluded, to dispense with decades of policies touting the benefits of markets and free trade — and economists would just have to get over it.
The Biden administration’s assault on open markets and free trade is odd in some respects. Scholars at the Peterson Institute for International Economics — located just across the street from Brookings — concluded in a 2022 report that, thanks to America’s openness to globalization, trillions of dollars in economic benefits have flowed to U.S. households. Moreover, the United Nations estimates that integrating China, India, and other economies into the world trading order has brought one billion individuals out of poverty since the 1980s. The impact of technological change as a driver of growth and incomes is larger still. Juxtaposing such outcomes with the administration’s grievances calls to mind the popular outcry in Monty Python’s Life of Brian: “What have the Romans ever done for us?” Quite a lot, in fact.
Proponents of free markets have clashed with advocates of government intervention before, most notably at the dawn of classical liberalism toward the end of the 18th century and the advent of neoliberalism during the first half of the 20th. These contests were not so much battles of ideas as they were intellectual critiques of real-life policy failures.
In 1776, Adam Smith’s Inquiry into the Nature and Causes of the Wealth of Nations threw down the gauntlet. The book was radical, offering a sharp rebuke of the economic-policy order of the day. Mercantilism — or the “mercantile system,” as Smith called it — assumed that the world’s wealth is fixed, and that a state wishing to improve its relative financial strength would have to do so at the expense of others by maintaining a favorable balance of trade — typically by restricting imports while encouraging exports. Recognizing merchants’ role in generating domestic wealth, mercantilist states also developed government-controlled monopolies that they protected from domestic and foreign competition through regulations, subsidies, and even military force.
Predictably, this system enriched the merchant class. But it did so at the expense of the poor, who were subject to trade restrictions and import taxes that drove up the price of goods. It also stunted business growth, expanded the slave trade, and triggered inflation in regions with little gold and silver bullion on hand.
Smith turned the mercantilist view on its head, insisting that the real touchstone of “the wealth of a nation” was not the amount of gold and silver held in its treasury, but the value of the goods and services it produced for its citizens to consume. To maximize a nation’s wealth, he argued that the state should unleash its population’s productive capacity by liberating markets and trade. Setting markets free, he observed, would enable firms to specialize in generating the goods they produced most efficiently, and to exchange surpluses of those goods for specialized goods produced by others. This approach would spread the benefits of free trade throughout the population.
While sometimes caricatured as a full-throated endorsement of laissez-faire economics, Wealth of Nations also recognized that government played an important role in sustaining an environment that would allow free markets to flourish. This included protecting property rights, building and maintaining infrastructure, upholding law and order, promoting education, providing for national security, and ensuring competition among firms. Smith cautioned, however, that government officials should be careful not to distort markets unnecessarily through such mechanisms as taxation and overregulation, and should avoid accumulating large public debts that would drain capital from future productive activities.
Mercantilism did not suddenly fall away after Smith’s critique; it continued to dominate much of the world’s economic order for another half-century. But eventually, Smith’s arguments in favor of market liberalization carried the day. For much of the 19th and early 20th centuries, free markets and free trade facilitated unprecedented prosperity in the West.
A parallel series of events occurred during the 1930s and ’40s, when Friedrich Hayek and John Maynard Keynes famously (and nastily) debated economic theory in the pages of the Economic Journal. That contest, too, revolved around what was happening on the ground: the Great Depression and increasing government investment in industry. Keynes contended that market economies experience booms and busts based on fluctuations in aggregate demand, and that the government could mitigate the harms of recessions by stimulating that demand through increased spending. Hayek disagreed, arguing that such large-scale public spending programs as those Keynes proposed would prompt not just market inefficiency and inflation, but tyranny.
During the 1950s and ’60s, Milton Friedman took on Keynes’s theories, asserting instead that the key to stimulating and maintaining economic growth was to control the money supply. He also expanded on Hayek’s case for free markets as necessary elements of free societies: As he wrote in Capitalism and Freedom, economic freedom serves as both “a component of freedom broadly understood” and “an indispensable means toward the achievement of political freedom.”
Of course Hayek and Friedman, like Smith before them, did not immediately win the debate; Keynesianism dominated America’s economic policy for decades after the Second World War. But by the mid-1970s, rising inflation and slowed economic growth pressured policymakers to consider a different approach. Hayek and Friedman’s arguments — now often referred to collectively as “neoliberalism” — ultimately won over important political figures like Ronald Reagan and Bill Clinton in the United States and Margaret Thatcher and Tony Blair in Britain. It had a major impact on each of their economic-policy initiatives, which typically combined tax cuts and deregulation with reduced government spending and liberalized international trade.
The upshot of that liberal market order is reflected in the 2022 findings of the Peterson Institute outlined above — namely the trillions of dollars in economic benefits that have flowed to American households. In a similar vein, the institute found in a 2017 report that between 1950 and 2016, trade liberalization combined with cheaper transportation and communication owing to technological change increased per-household GDP in the United States by about $18,000. The benefits of economic liberalism have thus been and continue to be massive.
NEOLIBERAL OVERCORRECTION
For all the prosperity it brought to the world, market-induced change in an era of globalization and rapid technological advance also entailed significant costs. Leaders across the political spectrum celebrated the former but paid little attention to the latter, which hit low- and medium-skilled American workers particularly hard. As global competition intensified and technological change mounted, tens of thousands of Americans in the manufacturing industry lost their jobs. Meanwhile, state benefits programs and occupational-licensing requirements made it difficult, if not impossible, for these individuals to move in search of better opportunities.
Neoliberal economic logic asserts that maintaining the labor market’s dynamism will right the ship in response to economic change — that new jobs will be created to replace the old. While true in most respects, for individuals and communities buffeted by structural market forces beyond their control, “just let the market work” is neither an economically correct answer nor a response likely to win political favor.
Proponents of neoliberalism tend to overlook the politically salient pressures generated by the speed, irreversibility, and geographic concentration of market-induced changes. Their lack of empathy for working-class communities hollowed out by the competitive and technological disruption that took place between the 1980s and the early 2010s ceded the political lane to proponents of industrial policy, enabling Trump to ride the wave of working-class grievances to the White House in 2016.
The ensuing tariffs, along with President Biden’s protectionist activity, invited retaliation from America’s trading partners. A Federal Reserve study by economists Aaron Flaaen and Justin Pierce concluded that, contrary to protectionists’ claims, employment losses triggered by trade retaliation were significantly greater than the number of jobs garnered through protectionism. The subsidy game tells a similar story: The Inflation Reduction Act’s large incentives for domestic clean-energy projects put America’s trading partners engaged in battery and electric-vehicle manufacturing at a disadvantage, which in turn pushed greater subsidization efforts overseas and prompted political grumbling among our trading partners.
It is policy failure, not a grand new economic strategy, that the Biden and Trump administrations’ industrial policies have teed up. Market liberalism must rise once again to counter the muddled mercantilism of both. But instead of repeating the cycle of neoliberalism overcorrecting for central planning and vice versa, today’s free-market and free-trade proponents will need to update their theories to address the challenges of our contemporary economy. By recovering insights from classical liberalism while keeping people in mind, economic policymakers can once again facilitate an open economy that ensures mass opportunity and flourishing.
MUDDLED MERCANTILISM
An intellectual path forward for today’s economic liberals must begin by highlighting the practical failures of Sullivan’s “new Washington consensus.” To that end, it will be useful to revisit the lack of intellectual foundation in today’s mercantilist industrial policy.
Skepticism of industrial policy revolves around two major challenges inherent to the strategy. The first is ensuring that capital is allocated to “winners” and not “losers.” The second is protecting industrial policy from mission creep and rent seeking.
Hayek addressed the first problem in his classic 1945 article, “The Use of Knowledge in Society.” As he observed there, “the knowledge of the particular circumstances of time and place” necessary to rationally plan an economy is distributed among innumerable individuals. No single person has access to all of this localized knowledge, which is not only infinite, but also constantly in flux. Statistical aggregates cannot account for it all, either. Thus, even the most earnest and sophisticated government planners could not amass the knowledge required to allocate capital to the right firms based on ever-changing circumstances on the ground. Recent examples of the government’s misfires — from the bankruptcy of the federally subsidized solar-panel startup Solyndra to the billions in Covid-19 relief aid lost to fraud and waste — speak to the truth of Hayek’s argument.
The free market, by contrast, transmits relevant information — that “knowledge of the particular circumstances of time and place” — in real time to everyone who needs it. It does so in large part via the price system. Friedman famously illustrated this process using the humble No. 2 pencil:
Suppose that, for whatever reason, there is an increased demand for lead pencils — perhaps because a baby boom increases school enrollment. Retail stores will find that they are selling more pencils. They will order more pencils from their wholesalers. The wholesalers will order more pencils from the manufacturers. The manufacturers will order more wood, more brass, more graphite — all the varied products used to make a pencil. In order to induce their suppliers to produce more of these items, they will have to offer higher prices for them. The higher prices will induce the suppliers to increase their work force to be able to meet the higher demand. To get more workers they will have to offer higher wages or better working conditions. In this way ripples spread out over ever widening circles, transmitting the information to people all over the world that there is a greater demand for pencils — or, to be more precise, for some product they are engaged in producing, for reasons they may not and need not know.
In this way, free markets ensure that capital is allocated to the right place at the right time based on the laws of supply and demand.
The second problem that plagues industrial policy arises when policies that are nominally targeted at a single goal end up serving the interests of government actors and individual firms. This problem comes in two flavors: mission creep and rent seeking.
Mission creep is the tendency of government actors to gradually expand the goal of a given policy beyond its original scope. One illustrative example comes from the CHIPS and Science Act, a bill designed to encourage semiconductor manufacturing in the United States. The act tasked the Commerce Department with drafting the conditions that manufacturers must meet to qualify for the program’s $39 billion in subsidies. In addition to manufacturing semiconductors domestically, those rules now require subsidy recipients to offer workers affordable housing and child care, develop plans for hiring disadvantaged workers, and encourage mass-transit use among their workforces. While arguably laudable (and certainly attractive to various interest groups), these goals distract from the original purpose of the law and may even detract from it.
Rent seeking — another problem characteristic of industrial policy — is a strategy that firms employ to increase their profits without creating anything of value. They do so by attempting to influence public policy or manipulate economic conditions in their favor.
Rent seeking often arises when firms devote lobbying resources to garnering funds from new government largesse. For the CHIPS and Science Act, firms’ scramble for subsidies replaces a focus on basic research. For the Inflation Reduction Act, firms’ hiring consultants to help them gain access to agricultural-conservation spending and technical assistance replaces a focus on researching market trends.
Industrial unions — whose goals might not be consistent with market outcomes or the new industrial policy — are a second source of rent seeking. Today, both the left and right have slouched away from liberalism’s emphasis on maintaining an open and dynamic labor market, pledging instead to create and protect “good jobs” — primarily in the manufacturing sector. This new thrust is yet another example of Washington picking “winners” and “losers” among industries and firms.
Concerns about this new approach to labor policy extend well beyond neoliberal critiques of limiting labor-market dynamism. Practically speaking, who decides what a “good job” is, or that manufacturing jobs are the ones to be prized and protected? Many of today’s most desired jobs for labor-market entrants did not exist decades ago when manufacturing employment was at its peak. Why should industrial policy’s goal be to cement the past as opposed to preparing individuals and locales for the work of the future?
A PATH FORWARD
Bidenomics’ policy failures offer an opening for leaders on the right to champion a new type of liberal economics that avoids the pitfalls of both markets-only neoliberalism and industrial policy’s central planning. In doing so, they will need to keep three things in mind.
The first is obvious but bears repeating: Markets don’t always work well, and calls for intervention are not necessarily calls for industrial policy.
Critiques of neoliberalism often focus on the stark observation from Friedman’s famous 1970 New York Times piece on the purpose of the corporation, which he asserted is to maximize its profits — full stop. While the article has now generated more than five decades of criticism, Friedman’s argument is quite sensible as a starting point under the assumptions he had in mind: perfect competition in product and labor markets, and a government that does its job well — namely by providing public goods like education and defense, and correcting for externalities.
Put this way, the problem with neoliberalism is less that it is laissez-faire and more that it assumes away important questions about the state’s role in the market economy. As a prominent example, national-security concerns raise questions about the boundaries between markets and the state. Export controls and certain supply-chain restrictions can be a legitimate way to deny sensitive technologies to adversaries (principally China in the present context). But they also raise several thorny questions. For instance, which technologies should be subject to controls and restrictions? What if those technologies are also employed for non-sensitive purposes? How do we defend sensitive technologies while avoiding blatant protectionism? (The Trump administration’s invocation of “national security” in levying steel tariffs against Canada was less than convincing.) Economists should invite scientists and technology experts into these discussions rather than ceding all ground to politicians and Commerce Department officials.
A second lesson relates to competition — the linchpin of both neoliberalism and classical-liberal economics dating back to Adam Smith. Is the pursuit of competition, though a worthy goal, sufficient to ensure widespread flourishing?
Contemporary economic models assign value to economic growth, openness to globalization, and technological advance. But as noted above, with that growth, openness, and advance comes disruption, often in the form of a diminished ability to compete for new jobs and business opportunities. It’s not a stretch to argue that a classical-liberal focus on free markets should also recognize the ability to compete as an important component to advancing competition. Competition might increase the size of the economic pie, but some will have easier access to a larger slice than others. Thus, in addition to promoting competition, today’s free-market advocates need to focus on preparing individuals to reconnect to opportunity in a changing economy.
To that end, neoliberals would do well to increase public investment in education and skill training. This includes greater support for community colleges — the loci of much of the training and retraining efforts required to reconnect workers to the job market. The demand for such training is rising among young workers skeptical of the value of a four-year college degree: The Wall Street Journal recently reported that the “number of students enrolled in vocational-focused community colleges rose 16% last year to its highest level since the National Student Clearinghouse began tracking such data in 2018.” Returning to Hayek’s “Use of Knowledge” essay, these interventions are likely to be successful because they decentralize training programs, divvying them up to the educational institutions that are in the best position to prepare workers for the jobs of today and tomorrow.
A third lesson for today’s neoliberals relates to the goals of the market. Smith, the father of modern economics, was also a student of moral philosophy — a discipline studiously avoided by most contemporary economists. To win the war of policy ideas, Smith understood that the goal could not simply be for the market to function. Today, demands to “let the market work” clearly do not meet the moment.
Market and trade liberalization are not ends in themselves; they are tools for organizing and promoting economic activity. Channeling Smith’s thoughts in his other classic work emphasizing shared purpose, The Theory of Moral Sentiments, Columbia professor and Nobel laureate Edmund Phelps argued that economic policies should pursue freedom not for its own sake, but to facilitate “mass flourishing.” In this vein, markets should promote, not prevent, innovation and productivity. They should aid, not hinder, the formation of strong families, communities, and religious and civic institutions.
Just as neoliberals need to be more cognizant of the human element in economics, proponents of industrial policy need to rethink the mercantilist strand present in their proposals.
To minimize the problems endemic to industrial policy — mission creep, rent seeking, and the risk of backing the wrong firms and industries — policy architects need to be both more general and more specific in their proposed interventions. By more general, I mean they must emphasize broad mechanisms to counter market failures. In the technology industry, for instance, expanding federal funding for basic scientific research can lead to useful applications for technologies and industries without picking winners and losers. Likewise, adopting a carbon tax would provide more neutral incentives for firms to develop low-carbon fuels and technologies without the need to pick winners and spend taxpayer dollars on costly subsidies. And again, as workers’ skills are an important policy concern, increases in general public investment in education and training should be front and center in any industrial policy.
By more specific, I mean the proposed policy interventions must have more specific goals. The Trump administration’s Operation Warp Speed succeeded without picking winners or over-relying on bureaucracy largely because its goals — developing and deploying a vaccine against Covid-19 as quickly as possible — were narrowly defined. Similarly, the Apollo program — which Senator Rubio rightly pointed to as an effective example of industrial policy — succeeded in part because it focused on a single, concrete, time-bound goal: putting a man on the moon within the decade.
Targeting and customizing aid is another way of making industrial-policy goals more specific. Economist Timothy Bartik has pushed for reforms to current place-based jobs policies, which typically consist of business-related tax and cash incentives. Such incentives, he argues, should be “more geographically targeted to distressed places,” “more targeted at high-multiplier industries” like technology, more favorable to small businesses, and more “attuned to local conditions.” Different local economies have different needs, from infrastructure to land development to job training. Funding customized services and inputs is more cost effective, more directly targeted at local shortcomings, and more likely to raise employment and productivity than one-size-fits-all tax and cash incentives.
While much of this analysis has been applied to the manufacturing context, such approaches can also be applied to the services sector. Customized input support would focus on developing partnerships between businesses and local educational institutions to develop job-specific training. Public support for applied research centers could help disseminate technological and organizational improvements to firms across the country. As with the general improvements to current industrial policy outlined above, these methods harness market mechanisms while recognizing and responding to underlying market failures.
A RIGHT TO OPPORTUNITY
The neoliberal notion that markets should focus on allocation and growth alone cannot be an endpoint; updating classical-liberal ideas with a deliberate focus on adaptation and the ability to compete is the place to start. Recognizing a right to opportunity in addition to property rights could provide a liberal counterweight to the temptation to reach for industrial policy to help distressed communities.
This right to opportunity — for today and tomorrow — should lead a conservative pushback to Bidenomics. Voters might not have much of a choice between Biden and Trump’s economic populism in the election this fall, but economists and policymakers can begin to advance a new market economics that leaves no Americans behind in the hope that future administrations will take notice.
The monthly “Employment Situation” report from the Bureau of Labor Statistics (BLS) is closely watched by economists, investment analysts, and Federal Reserve policymakers. Many economists believe that the payroll employment data from the report is the best single indicator of the current state of the economy.
Most economists, inside and outside of the government, accept the dates determined by the Business Cycle Dating Committee of the National Bureau of Economic Research (NBER) for when a recession begins and ends. Although that committee takes into account a variety of macroeconomic data series, the peak of a business cycle as determined by the committee almost always corresponds to the peak in payroll employment and the trough of a business cycle almost always corresponds to the trough in payroll employment.
One drawback to relying too heavily on payroll employment data in gauging the state of the economy is that the data are subject to—sometimes substantial—revisions. As the BLS explains: “Monthly revisions result from additional reports received from businesses and government agencies since the last published estimates and from the recalculation of seasonal factors.” The revisions can be particularly large at the beginning of a recession.
For example, the following figure shows revisions the BLS made to its initial estimates of the change in payroll employment during the months around the 2007–2009 recession. The green bars show months for which the BLS revised its preliminary estimates to show that fewer jobs were lost (or that more jobs were created), and the red bars show months for which the BLS revised its preliminary estimates to show that more jobs were lost (or that fewer jobs were created).
For example, the BLS initially reported that employment declined by 159,000 jobs during September 2008. In fact, after additional data became available, the BLS revised its estimate to show that employment had declined by 460,000 jobs during the month—a difference of 300,000 more jobs lost. As the recession deepened between April 2008 and April 2009, the BLS’s initial reports underestimated the number of jobs lost by 2.3 million. In other words, the recession of 2007–2009 turned out to be much more severe than economists and policymakers realized at the time.
The BLS also made substantial revisions to its initial estimates of payroll employment for 2020 and 2021 during the Covid pandemic, as the following figure shows. (Note that this figure appears in our new 9th edition of Macroeconomics, Chapter 9, Section 9.1 (Economics, Chapter 19, Section 19.1 and Essentials of Economics, Chapter 13, Section 13.1).)
The BLS initially estimated that employment in March 2020 declined by about 700,000. After gathering more data, the BLS revised its estimate to indicate that employment declined by twice as much. Similarly, the BLS’s initial estimates substantially understated the actual growth in employment from August to December 2021. After gathering more data, the BLS revised its estimate to indicate that nearly 2 million more jobs had been created during those months than it had originally estimated.
Just as the initial estimates for total payroll employment are often revised by sutbstantial amounts up or down, the same is true of the initial estimates of payroll employment in individual industries. Because the number of establishments surveyed in any particular industry can be small, the initial estimates can be highly inaccurate. For instance, Justin Fox, a columnist for bloomberg.com recently noted what appears to be a surge in employment in the “sports teams and clubs” industry. As the following figure shows, employment in this industry seems to have increased by an improbably large 75 percent. Was there a sudden increase in the United States in the number of new sports teams? Certainly not over just a few months. It’s more likely that most of the increase in employment in this industry will disappear when the initial employment estimates are revised.
One source of data for the BLS revisions to the monthly payroll employment data is the BLS’s “Quarterly Census of Employment and Wages.” The QCEW is based on the reports required of all firms that participate in the state and federal unemployment insurance program. The BLS estimates that 95 percent of all jobs in the United States are included in the QCEW data. As a result, the QCEW surveys about 11.9 million establishments as opposed to the 666,000 establishments included in the establishment survey.
The BLS uses the QCEW to benchmark the payroll employment data, which reconciles the two series. The BLS makes the revisions with a lag. For instance, the payroll employment data for 2023 won’t be revised using the QCEW data until August 2024. Looking at the 2023 employment data from the two series shows a large discrepancy, as seen in the following figure.
The blue line shows the employment data from the establishment survey and the orange line shows the data from the QCEW survey. (Both series are of nonseasonally adjusted data.) The values on the vertical axis are thousands of workers. In December 2023, the establishment survey indicated that a total of 158,347,000 people were employed in the nonfarm sector in the United States. The QCEW series shows a total of 154,956,133 people were employed in the nonfarm sector—about 3.4 million fewer.
How can we interpret the discrepancy between the employment totals from the two series? The most straightforward interpretation is that the QCEW data, which uses a larger sample, is more accurate and payroll employment has been significantly overstating the level of employment in the U.S. economy. In other words, the labor market was weaker in 2023 than it seemed, which may help to explain why inflation slowed as much as it did, particularly in the second half of the year.
However, this interpretation is not clear cut because the QCEW data are also subject to revision. As Ernie Tedeschi, director of economics at the Budget Lab at Yale and former chief economist for the Council of Economic Advisers, has pointed out, the QCEW data are typically revised upwards, which would close some of the gap between the two series. So, although it seems likely that the closely watched payroll employment data have overstated the strength of the labor market, we won’t get a clearer indication of how large the overstatement is until August when the BLS will use the QCEW data to benchmark the payroll employment data.
Image of “a woman shopping in a grocery store” generated by ChatGTP 4o.
Today (June 12) we had the unusual coincidence of the Bureau of Labor Statistics (BLS) releasing its monthly report on the consumer price index (CPI) on the same day that the Federal Open Market Committee (FOMC) concluded a meeting. The CPI report showed that the inflation rate had slowed more than expected. As the following figure shows, the inflation rate for May measured by the percentage change in the CPI from the same month in the previous month—headline inflation (the blue line)—was 3.3 percent—slightly below the 3.4 percent rate that economists surveyed by the Wall Street Journal had expected, and slightly lower than the 3.4 percent rate in April. Core inflation (the red line(—which excludes the prices of food and energy—was 3.4 percent in May, down from 3.6 percent in April and slightly lower than the 3.5 percent rate that economists had been expecting.
As the following figure shows, if we look at the 1-month inflation rate for headline and core inflation—that is the annual inflation rate calculated by compounding the current month’s rate over an entire year—the declines in the inflation rate are much larger. Headline inflation (the blue line) declined from 3.8 percent in April to 0.1 percent in May. Core inflation (the red line) declined from 3.6 percent in April to 2.0 percent in May. Overall, we can say that inflation has cooled in May and if inflation were to continue at the 1-month rate, the Fed will have succeeded in bringing the U.S. economy in for a soft landing—with the annual inflation rate returning to the Fed’s 2 percent target without the economy being pushed into a recession.
But two important notes of caution:
1. It’s hazardous to rely to heavily on data from a single month. Over the past year, the BLS has reported monthly inflation rates that were higher than economists expected and rates that was lower than economists expected. The current low inflation rate would have to persist over at least a few more months before we can safely conclude that the Fed has achieved a safe landing.
2. As we discuss in Macroeconomics, Chapter 15, Section 15.5 (Economics, Chapter 25, Section 25.5), the Fed uses the personal consumption expenditures (PCE) price index, rather than the CPI in evaluating whether it is hitting its 2 percent inflation target. So, today’s encouraging CPI data would have to carry over to the PCE data that the Bureau of Economic Analysis (BEA) will release on January 28 before we can conclude that inflation as the Fed tracks it did in fact slow significantly in April.
The BLS released the CPI report at 8:30 am eastern time. The FOMC began its meeting later in the day and so committee members were able to include in their deliberations today’s CPI data along with other previously available information on the state of the economy. At the close of the meeting, , the FOMC released a statement in which it stated, as expected, that it would leave its target range for the federal funds rate unchanged at 5.25 percent to 5.50 percent. After the meeting, the committee also released—as it typically does at its March, June, September, and December meetings—a “Summary of Economic Projections” (SEP), which presents median values of the committee members’ forecasts of key economic variables. The values are summarized in the following table, reproduced from the release.
The table shows that compared with their projections in March—the last time the FOMC published the SEP—committee members were expecting higher headline and core PCE inflation and a higher federal funds rate at the end of this year. In the long run, committee members were expecting a somewhat highr unemployment rate and somewhat higher federal funds rate than they had expected in March.
Note, as we discuss in Macreconomics, Chapter 14, Section 14.4 (Economics, Chapter 24, Section 24.4 and Essentials of Economics, Chapter 16, Section 16.4), there are twelve voting members of the FOMC: the seven members of the Board of Governors, the president of the Federal Reserve Bank of New York, and presidents of four of the other 11 Federal Reserve Banks, who serve one-year rotating terms. In 2024, the presidents of the Richmond, Atlanta, San Francisco, and Cleveland Feds are voting members. The other Federal Reserve Bank presidents serve as non-voting members, who participate in committee discussions and whose economic projections are included in the SEP.
Prior to the meeting there was much discussion in the business press and among investment analysts about the dot plot, shown below. Each dot in the plot represents the projection of an individual committee member. (The committee doesn’t disclose which member is associated with which dot.) Note that there are 19 dots, representing the 7 members of the Fed’s Board of Governors and all 12 presidents of the Fed’s district banks.
The plots on the far left of the figure represent the projections of each of the 19 members of the value of the federal funds rate at the end of 2024. Four members expect that the target for the federal funds rate will be unchanged at the end of the year. Seven members expect that the committee will cut the target range once, by 0.25 percentage point, by the end of the year. And eight members expect that the cut target range twice, by a total of 0.50 percent point, by the end of the year. Members of the business media and financial analysts were expecting tht the dot plot would project either one or two target rate cuts by the end of the year. The committee was closely divided among those two projections, with the median projection being for a single rate cut.
In its statement following the meeting, the committee noted that:
“In considering any adjustments to the target range for the federal funds rate, the Committee will carefully assess incoming data, the evolving outlook, and the balance of risks. The Committee does not expect it will be appropriate to reduce the target range until it has gained greater confidence that inflation is moving sustainably toward 2 percent. In addition, the Committee will continue reducing its holdings of Treasury securities and agency debt and agency mortgage‐backed securities. The Committee is strongly committed to returning inflation to its 2 percent objective.”
In his press conference after the meeting, Fed Chair Jerome Powell noted that the morning’s CPI report was a “Better inflation report than nearly anyone expected.” But, Powell also noted that: “You don’t want to be motivated any one data point.” Reinforcing the view quoted above in the committee’s statement, Powell emphasized that before cutting the target for the federal funds rate, the committee would need “Greater confidence that inflation is moving back to 2% on a sustainable basis.”
In summary, today’s CPI report was an indication that the Fed is on track to bring about a soft landing, but the FOMC will be closely analyzing macroeconomic data over at least the next few months before it is willing to cut its target for the federal funds rate.