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metadata language: English

Replication data for "Societal inequalities amplify gender gaps in math"

Version
V0
Resource Type
Dataset
Creator
  • Breda, Thomas (Paris School of Economics)
  • Napp, Clotilde (Université Paris-Dauphine)
  • Jouini, Elyès (Université Paris-Dauphine)
Publication Date
2018-01-02
Description
  • Abstract

    While gender gaps in average math performance are close to zero in developed countries, women are still strongly underrepresented among math high performers. Using data from five successive waves of the Programme for International Student Assessment (PISA), we show that this underrepresentation is more severe in more unequal countries. This relationship holds for a wide range of societal inequalities that are not directly related to gender. It is also observed in other parts of the performance distribution and among various sets of countries, including developing countries. Similar relationships are found in science and reading. Such findings highlight how differences in socio-economic and cultural factors can affect gender gaps in performance.
Temporal Coverage
  • 1950-01-01 / 2015-12-31
    Time Period: Sun Jan 01 00:00:00 EST 1950--Thu Dec 31 00:00:00 EST 2015 (mostly from 2003 to 2015)
  • 2017-01-01 / 2017-12-31
    Collection Date(s): Sun Jan 01 00:00:00 EST 2017--Sun Dec 31 00:00:00 EST 2017
Sampled Universe
World
Availability
Download

Update Metadata: 2019-12-20 | Issue Number: 1 | Registration Date: 2019-12-20

Breda, Thomas; Napp, Clotilde; Jouini, Elyès (2018): Replication data for "Societal inequalities amplify gender gaps in math". Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E101800