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US unemployment situation worsens in November

Jason Furman (PIIE) and Wilson Powell III (Harvard Kennedy School)

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The US economy added 245,000 jobs in November, continuing the slower pace seen in recent months—even as the economy remains 10 million jobs short of its February peak and 11 million short of trend. And while the official unemployment fell from 6.9 percent in October to 6.7 percent in November, the underlying employment situation deteriorated as the labor force participation rate and employment-population ratio both fell.

As in prior months of the pandemic, the official unemployment rate continues to understate the unemployment rate from a historically-comparable perspective because it counts an extra 629,000 people who were “not at work for other reasons” as employed (the so-called “misclassification error”) and also because 4.1 million workers have left the labor force since February, 2.5 million more than would be expected even given this large increase in unemployment. Adjusting for these factors, our “realistic unemployment rate” was 8.5 percent or 13.9 million unemployed people in November, a slight increase from 8.4 percent (13.7 million) in October, reflecting the decline in labor force participation.

Since February, an additional 2.0 million unemployed people reported being on temporary layoff, many of whom may anticipate a return to work after the end of COVID-19 pandemic lockdowns. If all of these people were immediately recalled back to work and the labor force adjusted accordingly the “full recall unemployment rate” would still be a 7.2 percent, higher than the official unemployment rate because it is also assumed that people return to the labor force. The “full recall” unemployment rate exceeding the official unemployment rate implies that further improvement will have to come increasingly among those experiencing permanent job loss.

The evolution of these three alternative measures of unemployment—official, realistic, and full recall—is shown in the figure below.

Unemployment situation worsened in November

The “realistic unemployment rate”: Adjusting the unemployment rate for the unusual circumstances of a pandemic labor market

This analysis makes two adjustments to the official unemployment rate to develop a “realistic unemployment rate” that is intended to be more comparable to historic measurements of the official unemployment rate, what the US Bureau of Labor Statistics (BLS) calls U-3.

The first adjustment is to reclassify the additional 629,000 workers who reported being “not at work for other reasons” as unemployed. The BLS explained that “some people who were not at work during the entire reference week for reasons related to the pandemic were not included in this category but were instead misclassified as employed but not at work for “other reasons.” However, the degree of misclassification in recent months was considerably lower than in the initial months of the pandemic.”

In November, the BLS found that there were 10.7 million unemployed people, representing 6.7 percent of the labor force. The second adjustment reflects the very large reduction in labor force participation, which was unusually large even conditional on the large increase in the unemployment rate. The labor force participation rate fell 1.9 percentage point between February and November as 4.1 million more people without employment also did not actively look for work and thus were not counted as being unemployed or part of the labor force. To put this in context, from 2007 to 2009, as the unemployment rate jumped to 10.0 percent, the participation rate fell only 1.2 percentage point (or 0.8 percentage point adjusted for population aging). This suggests that some of the people exiting the labor force since February may have done so temporarily because of the difficulty and impracticality of searching for the jobs during the peak pandemic period.

In order to make the labor force statistics more comparable to previous episodes, we reclassify some people reporting that they were not in the labor force as unemployed—meaning that they would be looking for work—so that, adjusted for aging, the relationship between labor force participation and the unemployment rate matches that observed during the Great Recession. This does not attempt to adjust for the full decline in labor force participation since February, only the portion of the decline that is unusually high relative to past downturns. The result is 2.5 million more people classified as unemployed, the counterfactual labor force participation rate rising by 1.0 percentage point and the counterfactual unemployment rate rising to 8.5 percent, as shown in the table below. Labor force participation fell in November, reversing improvements in October, causing the “realistic unemployment rate” to rise even while the official unemployment rate fell in November.

Note that this “realistic unemployment rate” differs from the broader labor underutilization measures published by the BLS. The BLS publishes U-4 which adds discouraged workers, U-5 which also adds other marginally attached workers who are available for work but not actively looking for a job, and U-6 which further adds those involuntarily working part-time for economic reasons. These measures are, by definition, always higher than U-3 because they add to the unemployed. In contrast, the “realistic unemployment rate” adds only the unusually large increase of nonparticipants to the unemployed, thus making it comparable to previous headline unemployment rates. This procedure, however, entails a hypothetical counterfactual exercise whereas U-4, U-5, and U-6 are all based directly on survey responses.

Alternative Measures of Unemployment
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Change: Feb. to Nov. (p.p.)
Official                      
Unemployment Rate 3.5 4.4 14.7 13.3 11.1 10.2 8.4 7.9 6.9 6.7 3.2
Labor Force Participation Rate 63.4 62.7 60.2 60.8 61.5 61.4 61.7 61.4 61.7 61.5 -1.9
Realistic                      
Unemployment Rate 3.5 5.7 20.5 17.1 13.0 12.0 9.9 9.6 8.4 8.5 5.0
Labor Force Participation Rate 63.4 63.0 60.9 61.4 61.9 62.0 62.3 62.3 62.5 62.4 -1.0
Full Recall                      
Unemployment Rate 3.5 4.5 7.6 7.1 7.0 7.0 6.6 7.3 6.9 7.2 3.7
Labor Force Participation Rate 63.4 63.2 62.8 62.8 62.8 62.7 62.8 62.6 62.7 62.6 -0.8
Note: p.p. denotes percentage points. Change based on unrounded numbers.
Sources: Bureau of Labor Statistics; Macrobond; authors' calculations.

The “full recall unemployment rate”: What would happen if all furloughed workers were immediately called back

In November 2.8 million workers reported being on temporary layoff, much higher than the 801,000 in February, but continuing the large declines of recent months. Note that the BLS changed its procedures and adopted a relatively broad definition of temporary layoff, so this number may include workers who have not in fact been furloughed from their jobs but were actually fired (see here for a full discussion).

It is unclear how many temporarily laid off people will return to their employers. Historically about 70 percent of workers on temporary furloughs return to their jobs, but this historic experience may not be applicable in the current circumstances. Assuming optimistically that all workers newly on temporary layoff had returned to their jobs (and following the BLS in counting those “not at work for other reasons” as employed) the unemployment rate would have been 5.5 percent in November, up slightly from October and still well below the 7.6 percent October unemployment rate in the European Union, which generally counts furloughed workers as employed.

This, however, is an artificially low unemployment rate because it makes the optimistic assumption that 2.0 million people return to their jobs while simultaneously assuming no commensurate increase in people looking for jobs. Any economy in which 2.0 million people were rehired would also see an increase in labor force participation from the still low November rate given the greater availability of jobs. To address this, our “full recall unemployment rate” makes the counterfactual assumption that 3.0 million people re-enter the labor force, again making the change in the age-adjusted participation rate consistent with its historic relationship with the change in the unemployment rate. Unlike in past months the net effect of these adjustments results in an alternative measure of unemployment that exceeds the official unemployment rate.

Conclusion

By any measure the US economy, like other economies around the world, experienced a dramatic reduction in economic activity that put millions of people out of work through early November, the time period covered by this report. The future prospects of the labor market will depend on the trajectory of the virus, the future policy response, and how many people without jobs can quickly connect with their old jobs instead of undertaking the time-consuming process of finding a new job, or even a job in a new industry. In the short term, cases, hospitalizations, and deaths continue to rise, temporary unemployment insurance programs extending benefits to millions of unemployed workers are scheduled to expire at the end of the month, and while there have been reports of a recent bipartisan proposal, Congress still has not reached a deal on the extension of additional unemployment benefits, aid to state and local governments, or additional support for businesses. In the intermediate term, recent vaccine news has been encouraging, and vaccine distribution should help the recovery next year.

Understanding the data can help inform projections of the trajectory of labor market recovery. We saw an initial “partial bounce back” in the labor market in the late spring and summer, as the unemployment rate fell quickly at first as businesses reopened, but the pace of recovery has slowed throughout the fall, and may pause or regress until another post-vaccine “partial bounce back”. Of course, this is just one of many other possible future trajectories for unemployment, so a better understanding of the recent past of employment can only shed a tiny bit of light on the future of employment.

Data Disclosure

The data underlying this analysis are available here [zip].

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