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Labour market discrimination occurs when workers who are equally productive receive different pay or face different employment opportunities because of characteristics unrelated to their productivity — such as gender, ethnicity, age, disability, or sexual orientation. Understanding discrimination is essential for analysing wage differentials and evaluating government policy.
The gender pay gap is the most widely reported measure of labour market inequality. It can be measured in two ways:
Key Definition: The gender pay gap is the difference between the average (mean or median) earnings of men and women, expressed as a percentage of men's earnings.
| Year | Median Gender Pay Gap (full-time) | Mean Gender Pay Gap (all employees) |
|---|---|---|
| 1997 | 17.4% | 27.5% |
| 2010 | 10.1% | 19.8% |
| 2017 | 9.1% | 17.4% |
| 2023 | 7.7% | 14.3% |
Source: ONS Annual Survey of Hours and Earnings (ASHE)
Since April 2017, UK employers with 250+ employees must publish their gender pay gap data annually. This transparency measure revealed striking gaps in some sectors:
| Sector | Median Gender Pay Gap (2023) |
|---|---|
| Finance and insurance | 22.5% |
| Construction | 23.0% |
| Education | 18.4% |
| Health and social care | 14.4% |
| Accommodation and food | 2.1% |
Exam Tip: Be careful to distinguish between the gender pay gap (difference in average earnings between all men and all women) and equal pay (whether men and women are paid the same for the same job). They are different concepts. The gender pay gap can exist even if every employer pays men and women equally for identical work, because men and women tend to work in different occupations and at different levels of seniority.
Gary Becker (1957) developed the first formal economic model of discrimination in The Economics of Discrimination. He argued that some employers, workers, or customers have a "taste for discrimination" — a preference for not associating with members of a particular group.
Key prediction: In competitive markets, discrimination is costly to the discriminating employer — they restrict their labour pool and hire less productive (but preferred) workers. Non-discriminating firms gain a competitive advantage by hiring equally productive workers at lower wages. Over time, competitive pressure should erode discrimination.
Evaluation: This prediction has been partially borne out — the gender pay gap has narrowed significantly since the 1970s. However, discrimination persists, suggesting that competitive forces alone are insufficient. Possible explanations include: imperfect competition (monopsony), customer discrimination that firms cannot ignore, and institutional inertia.
Edmund Phelps (1972) and Kenneth Arrow (1973) developed the theory of statistical discrimination. Unlike Becker's model, this does not require prejudice or animus — instead, it arises from imperfect information.
Key Definition: Statistical discrimination occurs when employers use observable group characteristics (gender, ethnicity, age) as proxies for unobservable individual characteristics (productivity, reliability, commitment) because they lack full information about individual workers.
Example: An employer may believe (rightly or wrongly) that young women are more likely to take maternity leave. Faced with two equally qualified candidates — a young woman and a young man — the employer may prefer the man, not out of prejudice, but because of perceived lower expected costs.
Evaluation:
Labour market discrimination also manifests through occupational segregation — the concentration of certain groups in particular occupations.
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