The Phillips curve puts inflation against unemployment, so the second number needs the same care as the first. Who counts as unemployed? Out of how many? And why does a healthy economy still have some unemployment? This lesson answers all three, and ends with the one idea the whole module builds on: a rate of unemployment that flows of workers settle at.
Take every adult in the economy. Each is in exactly one of three groups: employed (has a job), unemployed (has no job but is looking for one) or not in the labour force (has no job and is not looking: studying, caring for a family, retired, or discouraged). The employed and the unemployed together are the labour force.
Two ratios sit beside it, and the second is a trap in Indian papers:
The Counting tab splits a population three ways. Press “A worker gives up looking” and watch the rate fall though nobody found a job. The Flows tab sets the same economy in motion: each month some of the employed lose their job and some of the unemployed find one.
Every adult is employed, unemployed (without a job and looking for one) or outside the labour force. Numbers are in millions. Press a case or set the three groups.
6.67%: 10 out of the labour force of 150.
75% of the 200 million adults are in the labour force.
70%. In Indian usage this is the “workforce participation rate”.
Employed 140, unemployed 10, outside the labour force 50 (millions). The rate is 10 out of the labour force of 150, not out of 200.
Because the rate is a ratio, both its parts can move. If the number employed rises and the population does not change, does the unemployment rate fall? Not necessarily (IIT JAM 2021). If the new jobs draw people into the labour force from outside, the labour force grows, and the unemployed can rise even as employment does. Equally, if discouraged workers stop looking, unemployment falls and no job has been created.
This is why the unemployment rate is read beside the participation rate, never alone. It is also why the arithmetic of one question can be quite different from another that sounds the same: when a paper says “workforce participation rate of 60%” of a population of 100 million with 6 million unemployed, it means 60 million are working (IIT JAM 2021), and the rate is 6 out of 66, which is 1/11. Read as the labour force participation rate it would be 6 out of 60, which is 1/10. The word “workforce” fixes the reading.
| Kind | What it is | The exam’s clue |
|---|---|---|
| Frictional | Short spells between jobs while workers and employers find one another | “Between jobs”; “imperfect information about the labour market” (Hyderabad 2012, 2015) |
| Structural | A mismatch between workers’ skills or location and the jobs that exist, often after a fall in demand for some industries | “Mismatch of skills”; a fall in demand for some industries’ products (Hyderabad 2013, 2021) |
| Cyclical | Unemployment above its normal level because total demand is low in a recession | The gap between actual and natural unemployment (Hyderabad 2021) |
Add the first two and you have the natural rate of unemployment, the rate that remains when the economy is at its normal level of activity: frictional plus structural (CUET 2022, Hyderabad 2018). Cyclical unemployment is the actual rate less this natural rate, positive in a slump and negative in a boom. The next lessons build the Phillips curve on that gap, and Lesson 8 explains what sets the natural rate itself.
Two traps. The definitions of frictional and structural are easy to swap, and an exam statement that swaps them is false (IIT JAM 2023: “structural arises between two jobs” is frictional). And voluntary non-participation is not unemployment: a person who prefers to stay at home at the equilibrium wage is outside the labour force, so that reason does not explain any natural unemployment (JNU 2021).
Unemployment is a stock (how many are unemployed now) fed and drained by flows. Each month a share s of the employed lose or leave their jobs, and a share f of the unemployed find one. If the unemployment rate is u, then next month it is u plus the new separations, minus the hires:
With s = 2% and f = 30% a month, u* = 2/32 = 6.25%. Raise s or lower f and the steady-state rate rises. A low job-finding rate is what frictions and mismatch do: workers searching slowly, vacancies in the wrong place or for the wrong skills. That is the idea behind frictional and structural unemployment, and it is why the natural rate is never zero.
The unemployment rate has a resting point set by how fast people lose jobs and how fast they find them. Recession pushes the rate above it and boom below it, but it is the resting point, the natural rate, that Lessons 5 to 8 are about.
Output is jobs times output per worker, so in growth rates, output growth = employment growth + productivity growth. If the unemployment rate is constant, the labour force and employment grow at the same rate, so a country must grow its labour force at output growth less productivity growth to keep unemployment steady. Economy A grows output at 4% and productivity at 2%, so employment, and with a constant rate the labour force, grows at 2%; economy B at 8% and 4% gives 4%, so B has the higher labour force growth (JNU 2017).
One more curiosity the papers like: the ratio of the employment rate to the unemployment rate is (1 − u)/u, which grows without bound as u falls to zero, so it has no maximum (JNU 2018). And two rates plus a count give a population: the labour force is the number unemployed over the rate, and the working-age population is the labour force over the participation rate. That is the puzzle.
Definitions, formulas and one-step problems. Most CUET, UGC NET and Hyderabad questions on this topic sit here.
Statements to judge, matching lists and calculations with several steps, up to the hardest JNU, JAM and GATE questions.
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