‘Great Resignation’ Not That Great After All, Fed Study Says
(Bloomberg) -- Sign up for the New Economy Daily newsletter, follow us @economics and subscribe to our podcast.
High levels of workers quitting their jobs -- dubbed the “Great Resignation” -- may not be that rare after all, according to the latest Economic Letter from the Federal Reserve Bank of San Francisco.
“Evidence from both recent worker surveys and historical data on quits shows that the ‘Great Resignation' is not as unusual as one might think,” wrote Bart Hobijn, a visiting fellow with the regional Fed's research department and a professor of economics at Arizona State University.
The so-called quits rate, which measures voluntary job leavers as a share of total employment, remained near a record at 2.9% in February. Roughly 4.4 million Americans quit their jobs in the month, according to Labor Department data back to 2000.
That high reading has been cited by Fed officials as a sign of a very tight U.S. labor market -- alongside an unemployment rate that fell to 3.6% in March -- which is pushing wages up. The central bank also touts those metrics to argue the job market is strong enough to handle interest rate hikes to confront the hottest inflation in 40 years.
But Hobijn argues that prior to 2000, high waves of quits had actually been quite common during rapid economic recoveries in the postwar period, based on the Manufacturing Labor Turnover Survey, which was discontinued in 1981.
“The quits waves in manufacturing in 1948, 1951, 1953, 1966, 1969, and 1973 are of the same order of magnitude as the current wave,” he said. “All of these waves coincide with periods when payroll employment grew very fast, both in the manufacturing sector and the total nonfarm sector.”
Still, while he suggests that employers will have more success filling open positions, which should ease upward pressure on wages, he doesn't see that happening until late 2022.
Read this next: From the Great Resignation to Lying Flat, Workers Are Opting Out
©2022 Bloomberg L.P.
-
Talking Points This Week: Tech Nerves, FII Buying, And A Faraway Banking Shock
The global markets are not shining this Diwali. The exception in the large markets is, India.
-
Midterm Rally Lasted A Day. The Hard Reality Of A Divided US May Last Two Years | Opinion
Between a contested AI boom, a debt ceiling that arrives in 2027 and a president with every incentive to act alone, the next two years may prove more volatile than the first day's rally suggests.
-
Blue Wave Will Derail the AI Trade but Won't Dismantle the AI Era | Unhedged Position
The Democrats' sweep of the US Congress will see politics collide with economic forces both over the long and short term.
-
It's Time To Take The GST Council's Bet On Trust Global
Payment records can prove India's services exports, and clear, proportionate rules can bring foreign digital sellers into the tax net.
-
Opinion | India at 38: From Innovation Overperformer to Innovation Powerhouse
India now has 453 VC-backed deep science startups, 18 of them late-stage, after 117 percent growth since 2020. Laurus Labs, at USD 9.3 billion, is the most valuable deep science company in any middle-income economy outside China.
-
Navigating Energy Crossroads: S Jaishankar's Call For Diversified Supply Chains At G20 Ministerial Meeting
As geopolitical fault lines continue to test maritime trade routes and commodity flows, Jaishankar's message remains pertinent: true economic resilience requires open markets, protected transit lines, and a genuine commitment to multilateral cooperation rather than coercion.
-
Indians Are Travelling, But Not Every Journey Is A Holiday | The Week In Whys
Pilgrims, patients and working women are the real travellers, and the system hasn't quite caught up with them.
-
Getting To Work Costs Women More | The Reason Why
It is not just about women paying more than men. It is about women paying much more in cities than in villages.
-
AI Bias In Investing Cannot Be Eliminated, But It Can Be Governed
Framing is a particularly important example as identical financial information presented in terms of gains rather than losses can lead an LLM to reach a different assessment.