Abstract
Using an experiment to measure overconfidence and preferences for competitiveness and risk, this article investigates whether these measures explain gender differences in college major choices and expected future earnings. We find that individuals who are overconfident and overly competitive expect to earn significantly more. In addition, gender differences in overconfidence and competitiveness explain 18% of the gender gap in earnings expectations. These experimental measures explain as much of the gender gap in earnings expectations as a rich set of control variables. While expected earnings are related to college major choices, the experimental measures are not related with college major choice.
Original language | English (US) |
---|---|
Pages (from-to) | 2153-2186 |
Number of pages | 34 |
Journal | Economic Journal |
Volume | 127 |
Issue number | 604 |
DOIs | |
State | Published - Sep 2017 |
ASJC Scopus subject areas
- Economics and Econometrics
Fingerprint
Dive into the research topics of 'Preferences and Biases in Educational Choices and Labour Market Expectations: Shrinking the Black Box of Gender'. Together they form a unique fingerprint.Datasets
-
Replication data for: Preferences and Biases in Educational Choices and Labour Market Expectations: Shrinking the Black Box of Gender
Reuben, E. (Creator), Wiswall, M. (Creator) & Zafar, B. (Creator), ICPSR - Interuniversity Consortium for Political and Social Research, 2020
DOI: 10.3886/e119365, https://www.openicpsr.org/openicpsr/project/119365
Dataset
-
Replication data for: Preferences and Biases in Educational Choices and Labour Market Expectations: Shrinking the Black Box of Gender
Reuben, E. (Creator), Wiswall, M. (Creator) & Zafar, B. (Creator), ICPSR, 2020
DOI: 10.3886/e119365v1, https://www.openicpsr.org/openicpsr/project/119365/version/V1/view
Dataset
-
Replication data for: Preferences and Biases in Educational Choices and Labour Market Expectations: Shrinking the Black Box of Gender
Reuben, E. (Creator), Wiswall, M. (Creator) & Zafar, B. (Creator), ICPSR, 2020
DOI: 10.3886/e119365v1-24337, https://www.openicpsr.org/openicpsr/project/119365/version/V1/view?path=/openicpsr/119365/fcr:versions/V1/Description-of-variables.txt&type=file
Dataset