Have you ever walked into a hospital and noticed most nurses are women, while most surgeons are men? Or visited an office and seen that the administrative assistants are predominantly female, while the senior executives are male? This isn’t just a coincidence. It’s a worldwide phenomenon known as labour market segmentation, where the workforce is unofficially, but very effectively, sorted into different categories. Often, this sorting happens along the lines of gender.

But why? Economists have spent decades trying to build a “rational” explanation for this. Why does the ‘sorting hat’ of the economy seem to reserve certain jobs-often those with lower pay, less security, and fewer advancement opportunities-for women? The story is a complex mix of economic theory, societal roles, and deep-seated bias. Let’s unpack the economic rationales used to explain gender-based segmentation, and the powerful arguments that challenge them.

Table of Contents

The ‘productivity’ puzzle

The most traditional economic argument starts with a simple, if cold, premise: in a competitive market, you are paid based on your productivity. If a person’s wage is low, this theory suggests, it must be because their contribution to the company’s output (their “marginal product”) is also low. From this perspective, the “overcrowding” of women into low-paying sectors is seen as a simple reflection of their collective productivity relative to men.

This argument then branches out: why would women be “less productive”? The common answer is a lack of human capital. This term refers to the economic value of a worker’s experience and skills, including their education, training, and intelligence. The argument is that women, as a group, have historically had lower levels of education and less on-the-job experience than men, and their concentration in “low-skill” jobs is a direct result.

This creates a feedback loop. As the World Bank notes, gender-based occupational segregation is a key driver of the gender pay gap. When women are clustered into a narrow band of occupations, the large supply of labour for those few jobs artificially suppresses wages. Meanwhile, “male-typed” jobs are protected from this competition, allowing their wages to rise. The question, then, is *why* women would “choose” to enter these low-paying fields in the first place.

A life in chapters: the human capital theory

This is where one of the most famous (and controversial) theories comes in. In 1974, economists Jacob Mincer and Solomon Polachek offered a seemingly rational explanation that didn’t rely on employers being villains. Their paper, “Family Investment in Human Capital: Earnings of Women,” argued that the root cause of the pay gap wasn’t discrimination, but the societal division of labour within the family.

Hereโ€™s the logic:

  • The ‘Breadwinner’ vs. ‘Homemaker’ Roles: Society, they observed, assigns men the primary role of “breadwinner” and women the primary role of “homemaker.”
  • The Impact of Child Rearing: The crucial factor is childbearing and rearing. This responsibility, which falls disproportionately on women, leads to career interruptions-taking time off, working part-time, or seeking jobs with more flexibility but lower pay.
  • The ‘Rational’ Investment Decision: Human capital (like education or specialized training) is an investment. You pay costs now (tuition, long hours) for a payoff (higher salary) over *many years*. Mincer and Polachek argued that because women *expect* to have shorter, more intermittent careers, they (and their families) “rationally” choose to invest less in market-oriented human capital.

Think of it this way: why would someone spend years and a fortune becoming a neurosurgeon if they planned to work for only a few years before scaling back? Itโ€™s a “rational” choice to pick a career that is easier to leave and re-enter, like administrative work or teaching, even if it pays less. According to the theory, this isn’t just about time *out* of the workforce. Itโ€™s also about skill atrophy-when you’re not using your professional skills, they can get rusty, making you less “productive” when you return. This single theory-that the division of labour at home is the real source of the pay gap-became the dominant economic explanation for decades.

Challenging the ‘rational’ choice

The human capital theory is neat, logical, and explains a lot. But it has a huge problem: what happens when you compare women and men who are, for all intents and purposes, identical?

The ‘apples-to-apples’ problem

This is where critics like Indian economist Sudha Deshpande raised a crucial objection. Her research on the urban labour market in India (along with colleagues like L.K. Deshpande) challenged the conventional theory. The question they posed was simple: if the human capital theory is the *whole* story, why do women who have the same education, the same training, and the same level of experience as men, working in the *same occupation*, still get paid less?

When you control for all the “productivity” factors (education, experience, hours worked), a gap still remains. Economists call this the “unexplained” portion of the wage gap. That unexplained gap has another, more direct name: pure discrimination.

This suggests that the “sorting hat” isn’t just passively responding to women’s choices; it’s actively pushing them. As Indian academic sources point out, this discrimination can take many forms. It might be “statistical discrimination,” where an employer assumes an *individual* woman will leave to have children (even if she doesn’t plan to) and therefore hires a man for the high-investment “career-track” job. It can also be employers simply valuing work done by women less than the exact same work when it’s done by men.

Challenging the premise of ‘choice’

The critique goes even deeper, questioning the very idea of “choice.” Did a young woman in the 1980s “choose” not to be an engineer, or was she actively discouraged by guidance counselors, university faculties, and a hostile work environment? Are women “choosing” part-time work, or are they being forced into it because of a total lack of affordable childcare and the refusal of male partners to share domestic work? The human capital model treats these deep societal pressures as simple “preferences,” which masks the reality of discrimination.

Measuring what matters: the UNDP’s new lens

For decades, the debate was stuck in theory. A big part of the problem was that we weren’t even measuring the issue correctly. A country’s GDP could soar, yet the majority of its women could be left behind, and our main economic indicators would still call it “development.”

In 1995, the United Nations Development Programme (UNDP) fundamentally changed the conversation with its Human Development Report. It introduced two revolutionary new measures: the Gender Development Index (GDI) and the Gender Empowerment Measure (GEM).

The Gender Development Index (GDI)

The UNDP already had the Human Development Index (HDI), which measured a country’s average achievement in health, education, and standard of living. The Gender Development Index (GDI) did something simple but radical: it took the same exact measures and adjusted them for *inequality* between men and women.

The GDI showed that a country’s high HDI score could be masking huge gaps. It revealed that “development” wasn’t reaching women and men equally. A low GDI relative to its HDI was a clear sign that women were being excluded from the benefits of their country’s progress.

The Gender Empowerment Measure (GEM)

The GEM was even more groundbreaking. It argued that true development isn’t just about having capabilities (like being able to read); it’s about having *agency* (being able to use your education to influence your life and community).

The GEM was one of the first major attempts to quantify female empowerment. It measured gender inequality in three key areas of power:

  1. Political power: What share of seats in parliament did women hold?
  2. Economic power: What share of managerial, professional, and technical jobs did women have?
  3. Power over resources: What was women’s share of earned income?

Together, these tools proved what critics of the human capital model had been saying all along: the disparities in pay and position were not just a “rational” outcome. They were a sign of systemic disempowerment. The goal, these measures made clear, isn’t just to give women the same education as men. The goal is to ensure they get the same *returns* on that education, the same access to power, and the same ability to shape their own lives.

What do you think? When you see gender disparities in the workplace today, how much do you think is driven by individual “choices” versus a system that still limits those choices? What do you believe is the single most effective thing we could do to close the gap?

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References
  1. https://documents1.worldbank.org/curated/en/483621554129720460/pdf/Gender-Based-Employment-Segregation-Understanding-Causes-and-Policy-Interventions.pdf
  2. https://www.nber.org/system/files/chapters/c3685/c3685.pdf
  3. https://hdr.undp.org/gender-development-index

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