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Gender differences in competitiveness are often discussed as a potential explanation for gender differences in education and labor market outcomes. We correlate an incentivized measure of competitiveness with an important career choice of secondary school students in the Netherlands. At the age of 15, these students have to pick one out of four study profiles, which vary in how prestigious they are. While boys and girls have very similar levels of academic ability, boys are substantially more likely than girls to choose more prestigious profiles. We find that competitiveness is as important a predictor of profile choice as gender. More importantly, up to 23 percent of the gender difference in profile choice can be attributed to gender differences in competitiveness. This lends support to the extrapolation of laboratory findings on competitiveness to labor market settings.
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We assess the predictive power of two measures of competitiveness for education and labor market outcomes using a large, representative survey panel. The first is incentivized and is an online adaptation of the laboratory-based Niederle-Vesterlund measure. The second is an unincentivized survey question eliciting general competitiveness on an 11-point scale. Both measures are strong and consistent predictors of income, occupation, completed level of education and field of study. The predictive power of the new unincentivized measure for these outcomes is robust to controlling for other traits, including risk attitudes, confidence and the Big Five personality traits. For most outcomes, the predictive power of competitiveness exceeds that of the other traits. Gender differences in competitiveness can explain 5-10 percent of the observed gender differences in education and labor market outcomes.
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Gender differences in competitiveness are often discussed as a potential explanation for gender differences in education and labor market outcomes. We correlate an incentivized measure of competitiveness with an important career choice of secondary school students in the Netherlands. At the age of 15, these students have to pick one out of four study profiles, which vary in how prestigious they are. While boys and girls have very similar levels of academic ability, boys are substantially more likely than girls to choose more prestigious profiles. We find that competitiveness is as important a predictor of profile choice as gender. More importantly, up to 23 percent of the gender difference in profile choice can be attributed to gender differences in competitiveness. This lends support to the extrapolation of laboratory findings on competitiveness to labor market settings.
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