The Beveridge Curve and Labor Market Tightness
The Beveridge curve plots job openings against unemployment — it normally slopes downward, and how far it shifts outward tells you whether a hot labor market is efficient or just badly matched.
Prerequisites: Labor Market Data and Payrolls, JOLTS, Quits and Labor Turnover
Two numbers describe the state of the labor market from opposite sides: the unemployment rate (people looking for work) and the job openings rate (positions employers are trying to fill). Plot every month's pair of numbers on a chart and a pattern shows up — when unemployment is low, openings tend to be high, and vice versa. That downward-sloping relationship is the Beveridge curve, named after the economist William Beveridge, and it's one of the cleanest visual summaries of how "tight" a labor market is.
The curve itself isn't the interesting part — a negative relationship between openings and unemployment is close to mechanical. What matters is where the curve sits and whether it shifts. A labor market can sit at the same unemployment rate with very different numbers of open jobs, and that difference tells you something about how efficiently workers and jobs are finding each other.
Think of the downward curve traced by that plot as a stylized Beveridge curve: unemployment on one axis, openings on the other, sloping down and to the right. Moving along the curve is a normal business-cycle story — a hot economy pulls unemployment down and openings up. A curve that shifts outward, so that the same unemployment rate now comes with more unfilled openings than before, is a matching problem: workers and jobs exist, but skills, location, or wage expectations don't line up as well as they used to.
Reading a shift
During 2021–2022, the US Beveridge curve shifted sharply outward: unemployment fell to pre-pandemic lows, but job openings rose to record highs at the same time — something that hadn't happened together at that scale before. Two explanations get debated. One is pure friction: workers switching industries, changed preferences about in-person work, and childcare disruptions meant postings sat open longer even with plenty of job-seekers around. The other is measurement: some economists argued postings were "stickier" than before, with firms leaving ads up as a hedge against future hiring needs rather than actively recruiting.
Either way, the shift mattered for policy. A central bank watching only the unemployment rate would have concluded the labor market was merely tight. A central bank watching the Beveridge curve saw a labor market that was tight and poorly matched — meaning some of that tightness would ease on its own as matching improved, without needing higher rates to do the work.
What this means in practice
Desks and central-bank staff track the curve as a diagnostic for how much of current unemployment is "structural" (mismatch, hard to fix with demand policy) versus "cyclical" (a shortfall of overall demand, exactly what rate policy can address). If the curve has shifted outward and later shifts back inward as openings fall while unemployment stays low, that's read as a sign the labor market is cooling through easier matching rather than through layoffs — a much gentler kind of softening.
The Beveridge curve's slope shows the normal trade-off between unemployment and job openings; its shifts show whether that trade-off is getting better or worse at matching workers to jobs, independent of the business cycle.
It's tempting to read every outward shift as evidence of a permanently worse labor market. Many shifts prove temporary — a shock disrupts matching (a pandemic, a war, a regulatory change), and the curve drifts back inward over subsequent quarters as frictions resolve. Treat a single quarter's shift as a hypothesis, not a verdict.
Related concepts
Practice in interviews
Further reading
- Blanchard & Diamond, 'The Beveridge Curve' (1989)