Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Glass Ceiling Index× | Régression quantile× | |
|---|---|---|
| Domaine≠ | Gender Studies | Économétrie |
| Famille≠ | Process / pipeline | Regression model |
| Année d'origine≠ | 2001 | 1978 |
| Auteur d'origine≠ | David Cotter, Joan Hermsen, Seth Ovadia & Reeve Vanneman | Koenker & Bassett |
| Type≠ | Distributional gender-gap criterion / index | Conditional quantile regression |
| Source fondatrice≠ | Cotter, D. A., Hermsen, J. M., Ovadia, S., & Vanneman, R. (2001). The glass ceiling effect. Social Forces, 80(2), 655–681. DOI ↗ | Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗ |
| Alias | Glass Ceiling Measure, Glass-Ceiling Effect Index, Glass Ceiling Coefficient | conditional quantile regression, regression quantiles, Kantil Regresyon |
| Apparentées≠ | 4 | 5 |
| Résumé≠ | 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. | Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails. |
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