Glass Ceiling Index
Also known as: Glass Ceiling Measure, Glass-Ceiling Effect Index, Glass Ceiling Coefficient
The glass ceiling index and related distributional measures quantify the 'glass ceiling' — the tendency for gender disadvantage to intensify toward the top of a wage distribution or organisational hierarchy. Cotter and colleagues (2001) set out formal criteria distinguishing a true ceiling from a general gap, while labour economists operationalise it as a widening female–male gap at high quantiles of earnings, and popular indices (such as The Economist's) rank countries by women's representation in senior roles, pay, and leadership.
Key highlights
- Distinguishes top-concentrated disadvantage from uniform gaps, capturing a distinct and policy-relevant phenomenon.
- Cotter et al.'s criteria give a disciplined definition that prevents loose use of the metaphor.
- Quantile-based operationalisation reveals where in the distribution the gap arises, complementing mean decompositions.
- Representation indices provide intuitive cross-national and cross-firm rankings of women's access to leadership.
Intuition
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How it works
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When to use it
Use glass-ceiling measurement when the question is whether gender disadvantage is concentrated at the top — in executive representation or among high earners — rather than spread evenly. Distributional (quantile) methods are appropriate with individual wage data; representation-based indices suit comparisons of leadership across firms or countries. The approach is less informative when disadvantage is uniform or worst at the bottom (a sticky floor), and the Cotter criteria warn against labelling any high-level gap a ceiling without ruling out compositional explanations.
Strengths & limitations
- Distinguishes top-concentrated disadvantage from uniform gaps, capturing a distinct and policy-relevant phenomenon.
- Cotter et al.'s criteria give a disciplined definition that prevents loose use of the metaphor.
- Quantile-based operationalisation reveals where in the distribution the gap arises, complementing mean decompositions.
- Representation indices provide intuitive cross-national and cross-firm rankings of women's access to leadership.
- Distributional analysis requires individual-level data and methods beyond ordinary mean comparisons.
- Quantile gaps describe where the gap is largest but do not by themselves identify its cause.
- Composite leadership indices depend on the choice and weighting of indicators, which vary across publishers.
- A widening gap at the top can reflect selection into top jobs rather than a barrier within them.
Common pitfalls
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Applications
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Frequently asked
How is a glass ceiling different from a sticky floor?
Both describe where the gender gap is concentrated in the distribution, but in opposite places. A glass ceiling means the gap is largest at the top — women fall furthest behind among high earners and in senior roles. A sticky floor means the gap is largest at the bottom — women are disproportionately stuck in the lowest-paid positions. Quantile analysis distinguishes them: the gap accelerates toward the top under a ceiling and toward the bottom under a floor.
Why use quantile regression rather than a mean decomposition?
A mean decomposition like Oaxaca-Blinder reports the average gender gap and cannot reveal whether that gap is uniform or concentrated at one end of the distribution. Quantile regression estimates the gap at different points — the 10th, 50th, 90th percentiles — so it can detect a gap that widens at the top, which is the defining feature of a glass ceiling. Distributional decompositions such as recentered influence function methods extend this to attribute the quantile gaps to characteristics and returns.
Are the country 'glass-ceiling index' rankings the same as the academic measure?
No. Media indices, such as The Economist's, are composite rankings that combine indicators like the pay gap, women's share of senior and board roles, and labour participation into one number per country. The academic glass-ceiling concept is narrower: it specifies criteria (Cotter et al.) and is typically tested as an accelerating gap at high wage quantiles. They share a theme but differ in construction, so they should not be conflated.
Sources
- 1.Cotter, D. A., Hermsen, J. M., Ovadia, S., & Vanneman, R. (2001). The glass ceiling effect. Social Forces, 80(2), 655–681.
- 2.Arulampalam, W., Booth, A. L., & Bryan, M. L. (2007). Is there a glass ceiling over Europe? Exploring the gender pay gap across the wage distribution. ILR Review, 60(2), 163–186.
- 3.Albrecht, J., Björklund, A., & Vroman, S. (2003). Is there a glass ceiling in Sweden? Journal of Labor Economics, 21(1), 145–177.
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Cite this page
ScholarGate. (2026, June 22). Glass Ceiling Index. ScholarGate. https://scholargate.app/gender-studies/glass-ceiling-index