Employment Situation report – Page 4 – HubbardOBrienEconomics.com Blog

Surprisingly Strong Jobs Report

Photo from Lena Buonanno

When the Bureau of Labor Statistics’ Employment Situation report is released on the first Friday of each month economists and policymakers—notably including the members of the Federal Reserve’s Federal Open Market Committee (FOMC)—focus on the change in total nonfarm payroll employment as recorded in the establishment, or payroll, survey. That number gives what is generally considered to be the best indicator of the current state of the labor market. The most recent report showed a surprisingly strong net increase of 336,000 jobs during September. (The report can be found here.)

According to a survey by the Wall Street Journal, economists had been expecting an net increase in jobs of only 170,000. The larger than expected increase indicated that the economy might be expanding more rapidly than had been thought, raising the possibility that the FOMC might increase its target for the federal funds rate at least once more before the end of the year.

To meet increases in the growth of the U.S. working-age population, the economy needs to increase the total jobs available by approximately 80,000 jobs per month. A net increase of more than four times that amount may be an indication of an overheated job market. As always, one difficulty with drawing that conclusion is determing how many more people might be pulled into the labor market by a strong demand for workers. An increase in labor supply can potentially satisify an increase in labor demand without leading to an acceleration in wage growth and price inflation.

The following figure shows the employment-to-population ratio for workers ages 25 to 54—so-called prime-age workers—for the period since 1985. In September 2023, the ratio was 80.8 perccent, down slightly from 80.9 percent in August, but above the levels reached in early 2020 just before the effects of the Covid–19 pandemic were felt in the United States. The ratio was still below the record high of 81.9 percent reached in April 2000. The population of prime-age workers is about 128 million. So, if the employment-population ratio were to return to its 2000 peak, potentially another 1.3 million prime-age workers might enter the labor market. The likelihood of that happening, however, is difficult to gauge.

A couple of other points about the September employment report. First, it’s worth keeping in mind that the results from the establishment survey are subject to often substantial revisisons. The figure below shows the revisions the BLS has released as of October to their preliminary estimates for each month of 2023. In three of these eight months the revisions so far have been greater than 100,000 jobs. As we discuss in Macroeconomics, Chapter 9, Section 9.1 (Economics, Chapter 19, Section 19.1 and Essentials of Economics, Chapter 13, Section 13.1), the revisions that the BLS makes to its employment estimates are likely to be particularly large when the economy is about to enter a period of significantly lower or higher growth. So, the large revisions to the preliminary employment estimates in most months of 2023 may indicate that the surprisingly large preliminary estimate of a 336,000 increase in net employment will be revised lower in coming months.

Finally, data in the employment report provides some evidence of a slowing in wage growth, despite the sharp increase in employment. The following figure shows wage inflation as measured by the percentage increase in average hourly earnings (AHE) from the same month in the previous year. The increase in September was 4.2 percent, continuing a generally downward trend since March 2022, although still somewhat above wage inflation during the pre-2020 period.

As the following figure shows, September growth in average hourly earnings measured as a compound annual growth rate was 2.5 percent, which—if sustained—would be consistent with a rate of price inflation in the range of the Fed’s 2 percent target. (The figure shows only the months since January 2021 to avoid obscuring the values for recent months by including the very large monthly increases and decrease during 2020.)

As we note in this blog post, the employment cost index (ECI), published quarterly by the BLS, measures the cost to employers per employee hour worked and can be a better measure than AHE of the labor costs employers face. The first figure shows the percentage change in ECI from the same quarter in the previous year. The second figure shows the compound annual growth rate of the ECI. Both measures show a general downward trend in the growth of labor costs, although the measures are somewhat dated because the most recent values are for the second quarter of 2023.

Ultimately, the key question is one we’ve considered in previous blog posts (most recently here) and podcasts (most recently here): Will the Fed be able to achieve a soft landing by bringing inflation down to its 2 percent target without triggering a recession? The September jobs report can be interpreted as increasing the probability of a soft landing if the slowing in wage growth is emphasized but decreasing the probability if the Fed decides that the strong employment growth is real—that is, the September increase is not likely to be revised sharply lower in coming months—and requires additional increases in the target for the federal funds rate. It’s worth mentioning, of course, that factors over which the Fed has no control, such as a federal government shutdown, rising oil prices, or uncertainty resulting from the attack on Israel by Hamas, will also affect the likelihood of a soft landing.

Unraveling the Mysteries of the May 2023 Employment Situation Report

(Photo from the Associated Press via the Wall Street Journal.)

During most periods, the “Employment Situation” report that the Bureau of Labor Statistics issues on the first Friday of each month includes the most closely watched macroeconomic data. Since the spring of 2021, high inflation rates have made the BLS’s “Consumer Price Index Summary” at least a close second in interest to the employment report. The data in the CPI report is usually more readily comprehensible than the data in the employment report. So, we think it’s worth class time to go into some of the details of the employment report, as we do in Macroeconomics, Chapter 9, Section 9.1, Economics, Chapter 19, Section 19.1, and Essentials of Economics, Chapter 13, Section 13.1.

When the BLS released the May employment report, the Wall Street Journal noted that: “Employers added 339,000 jobs last month; unemployment rate rose to 3.7%.” Employment increased … but the unemployment rate also rose? How is that possible? One key to understanding media accounts of the report is to note that the report contains data from two separate surveys: 1) the household survey and 2) the employment or establishment survey. As in the statement just quoted from the Wall Street Journal, media accounts often mix data from the two surveys.

The data showing an increase of 339,000 jobs in May are from the payroll survey, while the data showing that the unemployment rate rose are from the household survey. Below we reproduce part of the relevant table from the report showing some of the data from the household survey. Note that total employment in the household survey falls by 310,000, so there appears to be no contradiction to explain—the unemployment rate increased because the number of people employed fell and the number of people unemployed rose. But why, then, did employment rise in the payroll survey?

Employment can rise in one survey and fall in the other because: 1) the types of employment measured in the two series differ, 2) the periods during which the data are collected differ, and 3) because of measurement error. The household survey uses a broader measure of employment that includes several categories of workers who are not included in the payroll survey: agricultural workers, self-employed workers, unpaid workers in family businesses, workers employed in private households rather than in businsses, and workers on unpaid leave from their jobs. In addition, the payroll employment numbers are revised—sometimes substantially—as additional data are collected from firms, while the household employment numbers are subject to much smaller revisions because data in the household survey are collected during a single week. A detailed discussion of the differences between the employment measures in the two series can be found here.

Usefully, the BLS publishes a series labeled “Adjusted employment” that estimates what the value for household employment would be if the household survey was measuring the same categories of employment as the payroll survey. In this case, the adjusted employment series shows an increase in employment in May of 394,000—close to the payroll survey’s increase of 339,000.

To summarize, the May employment report indicates that payroll employment increased, while the non-payroll categories of household employment declined, and the unemployment rate rose. Note also in the table above that the number of people counted as not being in labor force rose slightly and the employment-population ratio fell slightly. Average weekly hours (not shown in the table above) decreased slightly from 34.4 hours per week to 34.3.

A reasonable conclusion from the report is that the labor market remains strong, although it may have weakened slightly. Prior to release of the report, there was much speculation in the business press about how the report might affect the deliberations of the Federal Reserve’s Federal Open Market Committe (FOMC) at its next meeting to be held on June 13th and 14th. The report showed stronger employment growth than economists surveyed by Dow Jones had expected, indicating that the FOMC was likely to remain concerned that a tight labor market might continue to put upward pressure on wages, which firms could pass through to higher prices. Members of the FOMC had been signalling that they were likely to keep their target for the federal funds rate unchanged in June. The reported employment increase was likely not large enough to cause the FOMC to change course.

Solved Problem: How Can Total Employment and the Unemployment Rate Both Increase?

Supports: Macroeconomics, Chapter 9, Section 9.1, Economics Chapter 19, Section 19.1, and Essentials of Economics, Chapter 13, Section 13.1.

As it does on the first Friday of each month, on September 2, 2022, the U.S. Bureau of Labor Statistics (BLS) released its “Employment Situation” report for August 2022. According to the household survey data in the report, total employment in the U.S. economy increased in August by 442,000 compared with July. The unemployment rate rose from 3.5 percent in July to 3.7 percent in August. According to the establishment survey, the total number of workers on payrolls increased in August by 315,000 compared with July.

How are the data in the household survey collected? How are the data in the establishment survey collected?
Why are the estimated increases in employment from July to August 2022 in the two surveys different?
Briefly explain how it is possible for the household survey to report in a given month that both total employment and the unemployment rate increased.

Solving the Problem

Step 1: Review the chapter material. This problem is about how the BLS reports data on employment and unemployment, so you may want to review Chapter 9, Section 9.1, “Measuring the Unemployment Rate, the Labor Force Participation Rate, and the Employment–Population Ratio.”

Step 2: Answer part a. by explaining how the data from the two surveys are collected. As discussed in Section 9.1, the data in the household survey is from interviews with a sample of 60,000 households, chosen to represent the U.S. population. The data in the establishment survey—sometimes called the payroll survey in media stories—is from a sample of 300,000 establishments (factories, stores, and offices).

Step 3: Answer part b. by explaining why the estimated increase in employment is different in the two surveys. First note that the BLS intends the surveys to estimate two different measures of employment. The household survey includes people working at jobs of all types, including people who are self-employed or who are unpaid family workers, whereas the establishment survey includes only people who appear on a non-agricultural firm’s payroll, so the self-employed, farm workers, and unpaid family workers aren’t counted. Second, the data are collected from surveys and so—like all estimates that rely on surveys—will have some measurement error. That is, the actual increase in employment—either total employment in the household survey or payroll employment in the establishment survey—is likely to be larger or smaller than the reported estimates. The estimates in the establishment survey are revised in later months as the BLS receives additional data on payroll employment. In contrast, the estimates in household survey are ordinarily not revised because they are based only on a survey conducted once per month.

Step 4: Answer part c. by explaining how in a given month the household survey may report an increase in both employment and the unemployment rate. The BLS’s estimate of the unemployment is calculated from responses to the household survey. (The establishment survey doesn’t report an estimate of the unemployment rate.) The unemployment rate equals the total number of people unemployed divided by the labor force, multiplied by 100. The labor force equals the sum of the employed and the unemployed. If the number of people employed increases—thereby increasing the denominator in the unemployment rate equation—while the number of people unemployed remains the same or falls, as a matter of arithmetic the unemployment rate will have to fall.

The BLS reported that the unemployment rate in August 2022 rose even though total employment increased. That outcome is possible only if the number of people who are unemployed also increased, resulting in a proportionally larger increase in the numerator in the unemployment equation relative to the denominator. In fact, the BLS estimated that the number of people unemployed increased by 344,000 from July to August 2022. Employment and unemployment both increasing during a month happens fairly often during an economic expansion as some people who had been out of the labor force—and, therefore, not counted by the BLS as being unemployed—begin to search for work during the month but don’t find jobs.

Source: U.S. Bureau of Labor Statistics, “The Employment Situation—August 2022,” bls.gov, September 2, 2022.

The Surprisingly Strong Employment Report for January 2022

Leisure and hospitality was one of the industries showing surprisingly strong job growth during January 2022. Photo from the *New York Times*.

The Bureau of Labor Statistics’ monthly report on the “Employment Situation” is generally considered the best source of information on the current state of the labor market. As we discuss in Macroeconomics, Chapter 9, Section 9.1 (and in Economics, Chapter 19, Section 19.1), economists, policymakers, and investors generally focus more on the establishment survey data on total payroll employment than on the household survey data on the unemployment rate. The initial data on employment from the establishment survey are subject to substantial revisions over time (we discuss this point further below). But the establishment survey has the advantage of being determined by data taken from actual payrolls rather than by unverified answers to survey questions, as is the case with the household survey data.

The establishment survey data for January 2022 (released on February 4, 2022) showed a surprisingly large increase in employment of 467,000. The consensus forecast had been for a significantly smaller increase of 150,000, with many economists expecting that the data would show a decrease in employment. The establishment survey is collected for pay periods that include the 12^th of the month. In January 2022, in many places in the United States that pay period coincided with the height of the wave of infections from the Omicron variant of Covid-19. And, in fact, according to the household survey, the number of people out of work because of illness was 3.6 million in January—the most during the Covid-19 pandemic. So it seemed likely that payroll employment would have declined in January. But despite the difficulties caused by the pandemic, payroll employment increased substantially, likely reflecting firms’ continuing high demand for workers—a demand reflected in the very high level of job openings.

The employment report includes the BLS’s annual data revisions, which are based on a comprehensive payroll count for a particular month in the previous year—in this case, March 2021. The revisions also incorporate changes to the BLS’s seasonal adjustment factors. Each month, the BLS adjusts the raw payroll employment data to reflect seasonal fluctuations such as occur during and after the end-of-year holiday period. For instance, the change from December 2020 to January 2021 in the raw employment data was −2,824,000, whereas the adjusted change was 467,000 (as noted earlier). Obviously this difference is very large and is attributable to the BLS’s seasonal adjustments removing the employment surge in December attributable to seasonal hiring by retail stores, delivery firms, and other businesses strongly affected by the holidays.

The changes to the seasonal adjustment factors made the revisions to the 2021 payroll employment numbers unusually large. For instance, the BLS initially reported that employment increased from June 2021 to July 2021 by 1,091,000, whereas the revision reduced the increase to 689,000. Table A below is reproduced from the BLS report; the figure below the table shows the changes in employment from the previous month as originally published and as revised in the January report. Overall, the BLS revisions now show that employment increased by 217,000 more from 2020 to 2021 than initially estimated. The BLS expressed the opinion that: “Going forward, the updated models should produce more reliable estimates of seasonal movements. [Because there are now] more monthly observations related to the historically large job losses and gains seen in the pandemic-driven recession and recovery, the models can better distinguish normal seasonal movements from underlying trends.”

Source: The BLS “Employment Situation” report can be found here.