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2.5.4 Employment and Unemployment — Practice Questions

Seven original multiple-choice questions on employment and unemployment: who counts as employed or unemployed, the claimant count and the ILO measure, the causes of unemployment, and its impact on firms and individuals. One is a calculation.

7 questions Edexcel B A-Level Multiple choice Model answers included

7 questions in this set

  1. 1. A full-time university student works three hours every Saturday in a café and does not want any more hours. In UK labour market figures, the student is counted as

    Definition in context

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    Answer: B (Employed.). Employment covers anyone doing paid work, full-time or part-time. In UK figures, one hour of paid work a week is enough to count.
    Three hours every Saturday is paid work, so the student is employed.

    Why the other options are wrong

    • A — Full-time students are economically inactive only if they have no job and are not looking for one. This student has a paid job.
    • C — Underemployment means wanting more hours than you can get. This student does not want any more hours.
    • D — Unemployed people have no job. This student has one.
  2. 2. A town has 60,000 people of working age. Of these, 42,000 work full-time and 6,000 work part-time, including 2,000 who want more hours than they can get. Another 2,000 have no job and are looking for one, and the other 10,000 are economically inactive. To one decimal place, the town's unemployment rate is

    Calculation

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    Answer: B (4.0%). The unemployment rate is the unemployed as a percentage of everyone in work or looking for it.
    In work or looking: 42,000 + 6,000 + 2,000 = 50,000. The 10,000 inactive people are left out.
    Unemployment rate = 2,000 ÷ 50,000 × 100 = 4.0%.
    The 2,000 part-timers who want more hours are underemployed, but they have jobs, so they count as employed.

    Why the other options are wrong

    • A — This divides by the whole working-age population: 2,000 ÷ 60,000 = 3.3%. The economically inactive are neither working nor looking, so they are left out of the bottom of the fraction.
    • C — This divides by the number in work only: 2,000 ÷ 48,000 = 4.2%. The unemployed must be included in the bottom of the fraction too.
    • D — This counts the underemployed as unemployed: 4,000 ÷ 50,000 = 8.0%. People who want more hours still have jobs.
  3. 3. Table 1 describes four people of working age.
    Using Table 1, the person who is in the claimant count but is not unemployed on the ILO measure is

    Data interpretation

    Table 1: Four people of working age
    Situation
    Person 1 Has no job, has applied for several this month and can start at once, but has chosen not to claim any benefits
    Person 2 Has no job, claims Jobseeker's Allowance, is looking for work and can start next week
    Person 3 Is a full-time carer for a parent and is not looking for paid work
    Person 4 Works 12 hours a week in a low-paid job and claims Universal Credit, which requires them to look for more work
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    Answer: D (Person 4.). The claimant count covers people claiming Jobseeker's Allowance, or Universal Credit with a requirement to look for work. That can include low-paid part-time workers looking for more work.
    The ILO measure counts only people without a job who have looked in the past four weeks and can start within two.
    Person 4 claims Universal Credit with a requirement to look for work, so is in the claimant count. But Person 4 has a job, so on the ILO measure they are employed.

    Why the other options are wrong

    • A — This is the opposite case. Person 1 meets the ILO test, with no job, an active search and able to start, but claims nothing, so is missing from the claimant count.
    • B — Person 2 is counted on both measures: a claimant of Jobseeker's Allowance, and without a job, looking and able to start.
    • C — Person 3 is economically inactive: not working and not looking for work. They appear in neither measure.
  4. 4. Table 1 shows how jobs and job vacancies in a country changed over one year, by sector.
    Using Table 1, the rise in unemployment is most likely

    Data interpretation

    Table 1: Changes in jobs and vacancies over one year
    Sector Change in jobs Change in vacancies
    Manufacturing −3,000 −40%
    Retail −2,500 −35%
    Construction −2,000 −45%
    Hospitality −1,500 −30%
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    Answer: A (Demand-deficient, as every sector is shedding jobs.). Name the cause the evidence points to. Every sector is losing jobs, and vacancies are falling in every sector too, so no part of the economy is short of workers.
    That is demand-deficient unemployment: households and firms spend less → firms sell less → they need fewer workers → job losses spread across the whole economy.

    Why the other options are wrong

    • B — Manufacturing has lost the most jobs, but so has every other sector. Structural unemployment is job losses in one declining industry while other sectors are hiring.
    • C — If workers lacked the skills for the jobs on offer, vacancies would go unfilled. Here vacancies are falling in every sector, which points to too little demand, not a mismatch of skills.
    • D — Nothing in the table shows machines replacing workers, and job losses in shops, building sites and hotels are not explained by new factory technology.
  5. 5. A paper mill closes in a small town. A battery factory 200 miles away offers every former mill worker free training and a guaranteed job. Few accept, and most stay in the town without work. Their unemployment is best explained by

    Applied reasoning

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    Answer: B (Geographical immobility.). The mill's closure leaves workers whose skills and location no longer match the jobs available. Two kinds of immobility can keep them out of work.
    Free training with a guaranteed job removes the skills barrier, so occupational immobility is not what is stopping them.
    What remains is the 200 miles. Workers who cannot or will not move, because of housing costs or family ties, face geographical immobility.

    Why the other options are wrong

    • A — Demand deficiency means too few jobs across the economy. Here there are jobs available, at the battery factory, that the workers do not take.
    • C — Occupational immobility is a lack of the skills the new jobs need. The free training removes that barrier, so it cannot explain why so few accept.
    • D — Nothing in the stem says the mill closed because machines replaced its workers. And the reason they stay unemployed is distance, not technology.
  6. 6. A car plant employing 4,000 people closes in a town where it was by far the largest employer. The firm whose sales are most likely to fall by the largest percentage is

    Applied reasoning

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    Answer: A (A café beside the plant's main gate.). Job losses concentrated in one town hit local firms most, while firms elsewhere barely notice.
    The café relies on the plant's workers for most of its custom → the plant closes → those customers disappear at once, and the town's spending falls too → its sales fall by the largest percentage.

    Why the other options are wrong

    • B — The discount store is in the same town, but shoppers whose incomes fall tend to trade down to discount stores. It may lose some sales, but far less than the café, and it could even gain.
    • C — The chain's sales in this town will fall, but that town is a small part of its sales across the UK. As a share of its total sales, the fall is small.
    • D — Its customers are spread across the UK, so losing some buyers in one town barely changes its total sales.
  7. 7. Two machinists lose their jobs on the same day. One finds similar work three weeks later; the other is still looking two years later. When the second is finally hired, compared with the first, they are most likely to

    Applied reasoning

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    Answer: A (Be paid less, as their skills have faded.). The longer someone is out of work → the more their skills and confidence fade → the harder it is to get hired → lower pay even after they find work.
    A short gap of three weeks does little lasting harm; two years of long-term unemployment is what erodes skills and income.

    Why the other options are wrong

    • B — Two years without work makes a worker less attractive to employers, not more. There is no sign that the second machinist was turning down better offers.
    • C — They had the same skills on the day they lost their jobs, but two years out of work wears skills down. By the time the second is hired, they are no longer equal.
    • D — The reverse is more likely. Firms that hire someone after a long spell out of work usually face higher training costs, as skills have faded.