Extended Data Fig. 5: Additional gender analyses. | Nature

Extended Data Fig. 5: Additional gender analyses.

From: Monitoring hiring discrimination through online recruitment platforms

Extended Data Fig. 5

a, Effect of female gender on the probability of contact (in %) (n = 17,369,372 profiles). The circles show the (dis)advantage that women face compared to men in a given occupation, plotted against the share of women in that occupation. In contrast to Fig. 3 in the main text, the share of women per occupation is calculated from the Swiss earnings structure survey instead of the share of women in the result list. The circumference of the dots denotes the share of searches in each occupation. The solid black line indicates the weighted least squares regression of the estimated gender disparity against the share of female workers in each occupation. The dashed black lines show the associated 95% confidence intervals. The colour of the circles indicates the ISCO-1 level occupation classification. b, Relationship between occupational wages and hiring penalties (advantages) for female versus male jobseekers, grouped by two-digit ISCO occupation (n = 17,369,372 profiles). We estimate occupation-specific wages from the October 2016 wave of the Swiss Earnings Structure Survey. The circles show the (dis)advantage that women face compared to men in a given occupation, plotted against the log average wage in the occupation. The circumference of the dots denotes the share of searches in each occupation. The solid black line indicates the weighted least squares regression of the estimated gender disparity against the average log wage in each occupation. The dashed black lines show the associated 95% confidence intervals. The colour of the circles indicates the ISCO-1 level occupation classification.

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