OCR A Level Economics: Unemployment and employment (H460)

Every figure below is invented and illustrative; Country A is a made-up economy. This guide follows the OCR A Level Economics (H460) specification, Version 3.0 (June 2026), first assessment 2021. The material comes from the Unemployment/Employment topic, under Economic policy objectives, in Component 2 (Macroeconomics). The specification does not mark any content as AS only or A Level only: the whole specification is A Level. Growth, inflation and inequality are covered on other pages, so this guide stays on jobs.

Use the OCR A Level Economics hub and the printable checklist to track progress. Next, condense it with the revision notes and then attempt the practice questions. For the wider macro picture see OCR A Level Economics: Macroeconomics. To find weak spots first, try the free diagnostics.

What this unit covers

Specification outcome	Section
Explain unemployment, employment and the full employment objective	1
Distinguish the Labour Force Survey from the claimant count	2
Explain the natural rate / NAIRU	3
Evaluate the difficulties of measuring unemployment	4
Evaluate the causes of unemployment	5
Evaluate the consequences of unemployment	6
Evaluate causes and consequences of changes in the pattern of employment	7
Evaluate the effects of full employment	8

1. Unemployment, employment and full employment

• Employment: people doing paid work, including part-time work and self-employment.
• Unemployment: people without a job who are actively looking for work and available to start. Being jobless is not enough. A full-time student or a retired person is economically inactive, not unemployed.
• Labour force: employed plus unemployed.
• Unemployment rate: unemployed ÷ labour force × 100.
• Employment rate: employed ÷ population of working age × 100.

Worked example (Country A, year 10). People aged 16 and over: 40.0m. Employed 25.2m. Unemployed 1.3m.

• Labour force = 25.2 + 1.3 = 26.5m.
• Unemployment rate = 1.3 ÷ 26.5 × 100 = 4.9%.
• Employment rate = 25.2 ÷ 40.0 × 100 = 63.0%.
• Inactive = 40.0 − 26.5 = 13.5m, so the inactivity rate is 33.8%.

Full employment as a macroeconomic objective does not mean zero unemployment. It means everyone who wants and is able to work at the going wage can find a job, so the only unemployment left is frictional (people between jobs) and voluntary. In practice a government aims for a low rate consistent with stable prices, which links to the natural rate below.

2. Labour Force Survey and claimant count

	Labour Force Survey (LFS)	Claimant count
Source	Survey of households	Administrative records of benefit claims
Who is counted	People who say they have looked for work in the last four weeks and could start within two weeks	People claiming unemployment-related benefits, which in the UK includes some Universal Credit claimants
Definition	International (ILO-style), so comparable across countries	Depends on benefit rules, so it changes when rules change
Weaknesses	Sampling error; slower; relies on honest answers	Misses jobless people who do not claim; may include some who are not job-seeking or are in low-paid work
Strength	Counts jobless people whether or not they claim	Fast, cheap, and available for small areas

Worked example. Country A has an LFS total of 1.3m and a claimant count of 0.90m. Suppose 0.15m claimants are not required to look for work and 0.12m work a few hours on low pay. Claimants who also meet the LFS test = 0.90 − 0.15 − 0.12 = 0.63m. LFS unemployed who do not claim (for example because a partner’s income or savings rule out benefit) = 1.30 − 0.63 = 0.67m. The two measures differ because they count different people, not because one is wrong.

3. The natural rate and NAIRU

The natural rate of unemployment is what remains when the labour market clears at its equilibrium wage: frictional and structural joblessness stay, cyclical joblessness does not. On an AD/AS diagram, long-run aggregate supply is vertical at the level of output where unemployment is at its natural rate. The non-accelerating inflation rate of unemployment (NAIRU) is the rate at which inflation neither rises nor falls. Below it, tight labour markets push wages and prices up faster each year; above it, inflation falls.

Worked example (a toy model). Let inflation = expected inflation + 0.5 × (4.0 − u), with u as the unemployment rate in per cent and NAIRU 4.0%.

• u = 4.9%, expected inflation 2.0%: inflation = 2.0 + 0.5 × (−0.9) = 1.55%. Inflation falls.
• u = 3.0%: inflation = 2.0 + 0.5 × 1.0 = 2.5%.
• If people then expect 2.5%, next year inflation at u = 3.0% is 3.0%, and then 3.5%. Holding unemployment below NAIRU makes inflation accelerate.

Evaluation. Nobody observes NAIRU directly, so estimates are uncertain and move over time. Long unemployment spells can raise it (hysteresis: skills fade, employers screen out the long-term jobless). Supply-side policies that improve skills and mobility can lower it.

4. Difficulties of measuring unemployment

• Hidden unemployment: discouraged workers who stop searching are classed as inactive.
• Underemployment: people in part-time jobs who want more hours count as employed.
• Definitions and rules: a change in benefit rules shifts the claimant count; a change in survey method shifts the LFS.
• Sampling error: LFS totals are estimates with a margin of error, so small changes may be noise.
• Informal work and benefit fraud: some counted jobless people work off the books.
• Averages hide differences: by region, age, ethnicity and duration.
• Timing: figures are published with a lag and revised.

Worked example. In Country A, 0.9m inactive people want work but have stopped searching, and 1.1m part-timers want full-time hours.

• Headline rate = 1.3 ÷ 26.5 = 4.9%.
• Add the discouraged to both unemployed and labour force: (1.3 + 0.9) ÷ (26.5 + 0.9) = 2.2 ÷ 27.4 = 8.0%.
• Underemployment = 1.1 ÷ 25.2 = 4.4% of those in work.

The first figure understates spare capacity. Judgement: pick the measure to fit the question. For international comparison use the LFS; for local detail use the claimant count.

5. Causes of unemployment

Type	Cause	Typical remedy
Frictional	Time to search and match	Better job information
Structural	Skills or location of workers do not match jobs; industries decline; technology replaces tasks	Training, mobility support
Cyclical (demand-deficient)	Fall in aggregate demand in a downturn	Expansionary fiscal or monetary policy
Real-wage	Wages held above equilibrium by unions or a minimum wage	Reform or restraint
Seasonal	Predictable patterns, such as in tourism	Not a policy target

Worked example (types). Of Country A’s 1.3m unemployed, frictional 0.30m, structural 0.76m, cyclical 0.24m (total 1.30m).

• Natural rate = (0.30 + 0.76) ÷ 26.5 × 100 = 4.0%.
• Cyclical part = 0.24 ÷ 26.5 × 100 = 0.9%. Total = 4.9%.

Worked example (real-wage). Labour market for a sector, in thousands of workers: demand L = 120 − 4w and supply L = −30 + 6w, with w in pounds per hour.

• Equilibrium: 120 − 4w = −30 + 6w gives w = £15, L = 60.
• A union secures £18: demand = 48, supply = 78, so 30 are unemployed, of whom 12 lost jobs and 18 are new job-seekers.
• Percentage change in employment (midpoint) = −12 ÷ 54 = −22.2%; wage up 3 ÷ 16.5 = 18.2%. Elasticity = −1.22, elastic, so the wage bill falls from £900 to £864 (thousand per hour).

Evaluation chain. Cyclical unemployment dominates in a deep recession, but structural unemployment dominates after long-term industry change and lasts longer. Wage-based explanations are stronger if labour demand is elastic and the wage floor is high; weaker if employers have power over wages. Generous benefits can lengthen job search, yet they also let people find a better match. Technology destroys some jobs and creates others, so the net effect depends on the speed of retraining. Time period, country and sector all matter.

6. Consequences of unemployment

Who	Consequences
Individuals	Lost income, poorer health and wellbeing, skill loss, lower later earnings
Firms	Weak demand, though a bigger pool of workers may hold down wages
Government	Lower tax revenue, higher benefit spending
Economy	Lost output, lower growth, wider inequality, regional decline

Worked example. The 0.24m cyclical unemployed in Country A would each pay £5,000 in tax if employed, but receive £7,000 in benefits while unemployed.

• Fiscal cost per person = 5,000 + 7,000 = £12,000; for 0.24m: £2.88bn.
• Lost output at £55,000 per worker: 0.24m × £55,000 = £13.2bn, which is 0.88% of a £1,500bn GDP.

Evaluation. The size of the harm depends on the duration, the type (a short frictional spell may improve matching), the quality of benefits and retraining, and whether it falls on one region or group. Long-term unemployment, youth unemployment and concentrated local unemployment are the most damaging. Lower output also reduces tax receipts further, so the fiscal cost can exceed the figure above.

7. Changes in the pattern of employment

Pattern means where, in what form, and for whom jobs exist.

Worked example (sector shares). Country A employment in millions:

Sector	Year 1	Year 10	Share year 1	Share year 10
Primary	0.6	0.4	2.6%	1.6%
Secondary	4.6	3.5	19.8%	13.9%
Tertiary	18.0	21.3	77.6%	84.5%
Total	23.2	25.2	100%	100%

Total employment rose 8.6%. Secondary jobs fell 23.9% and tertiary jobs rose 18.3%.

• Causes: rising incomes shift spending towards services; automation and offshoring in manufacturing; ageing populations raise demand for care; rising female participation; flexible contracts, including part-time, temporary, zero-hours and self-employment; migration; regional shifts in industries.
• Consequences: structural unemployment where displaced workers cannot move or retrain; wider regional inequality; more insecure work and in-work poverty; higher productivity in some sectors; a need for new skills; changed tax receipts as pay and hours change.

Evaluation. Whether a change helps depends on who gains. A shift to services can raise output and employment overall while hurting the former manufacturing region for decades. Flexible contracts help firms and some workers but raise insecurity.

8. The effects of full employment

Benefits: higher output and incomes; higher tax revenue and lower benefit spending; less poverty; better wellbeing and skills use.

Costs and risks: labour shortages and wage-push inflation; higher imports if spending rises, worsening the trade balance; rising costs and bottlenecks; growing inequality if scarce skills command large pay rises; potential for overheating.

Worked example. At 3.0% unemployment in Country A, money wages rise 4.5% while productivity rises 1.5%. Unit labour cost growth ≈ 1.045 ÷ 1.015 − 1 = 3.0%, which can feed inflation.

Evaluation. The danger depends on spare capacity, productivity growth, the strength of supply-side improvements and inflation expectations. Full employment with stable prices is the aim; if the economy sits at NAIRU, both are met together.

Common errors

• Treating all jobless people as unemployed. Inactive people are not counted.
• Saying full employment means zero unemployment.
• Treating the claimant count as the whole of unemployment, when it counts benefit claimants.
• Naming a cause without saying which type of unemployment it produces.
• Describing consequences but never judging their size or duration.

Official syllabus

OCR, A Level in Economics (H460) specification, Version 3.0 (June 2026), first assessment 2021.