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Cited by 341

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Gender Differences in the Choice of Major: The Importance of Female Role Models

Open access
Porter, Catherine, Serra, Danila·2020·American Economic Journal: Applied Economics
DOI 10.1257/app.20180426
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Abstract

We conducted a field experiment aimed at increasing the percentage of women majoring in economics. We exposed students enrolled in introductory classes to successful and charismatic women who majored in economics at the same university. The intervention significantly impacted female students’ enrollment in further economics classes, increasing their likelihood to major in economics by 8 percentage points. This is a large effect, given that only 9 percent of women were majoring in economics at baseline. Since the impacted women were previously planning to major in lower-earning fields, our low-cost intervention may have a positive effect on their future incomes. (JEL A22, C93, I23, I26, J16)

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Crossref · 10.1257/app.20180426

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Metadata

Authors
Porter, C., & Serra, D.
Venue
American Economic Journal: Applied Economics
Publisher
American Economic Association
Published
2020-07-01
Volume
12
Issue
3
Pages
226-254
ISSN
  • 1945-7782 (ISSN-L)
  • 1945-7790
DOI
10.1257/app.20180426
OpenAlex
W2783489916
Cited by
341
References
30
FWCI
59.15
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Gender Differences in the Choice of Major: The Importance of Female Role Models. https://app.cochat.ai/papers/10.1257/app.20180426
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Porter, C., & Serra, D. (2020). Gender Differences in the Choice of Major: The Importance of Female Role Models. American Economic Journal: Applied Economics. https://doi.org/10.1257/app.20180426

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.