Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/331456 
Erscheinungsjahr: 
2025
Schriftenreihe/Nr.: 
IFN Working Paper No. 1534
Verlag: 
Research Institute of Industrial Economics (IFN), Stockholm
Zusammenfassung: 
We examine how gender-based occupational sorting before the release of ChatGPT relates to predicted exposure to generative AI and its potential implications for the gender wage gap. Using Swedish administrative data, we find that women are overrepresented in occupations predicted to be more affected by generative AI. Simulations based on deviations from the 2021 occupational and wage distribution - incorporating predicted AI exposure and task complementarity - show that generative AI can widen the gender wage gap through existing patterns of occupational sorting.
Schlagwörter: 
Generative AI
gender wage gap
technological change
occupational sorting
complementarity
JEL: 
J16
J31
O33
J24
Dokumentart: 
Working Paper

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