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Table 1.

Summary statistics (average values) and gender gaps (average for women divided by average for men) in research output and impact, overall and in the last six years.

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Fig 1.

Relationship between departmental proportion of women and women’s average number of publications with at least ten citations (i-10 index) relative to men.

The x-axis shows the proportion of women in each department. The y-axis measures the inverse gender gap in the number of publications, defined as the average number of publications by female scholars as a percentage of the average number of publications by male scholars, by department. Blue dots correspond to economic departments and green diamonds to political science departments. The line represents a locally weighted scatterplot smoothing (lowess). Departments with 0 women in our dataset (2 in economics and 5 in political science) are excluded from the analysis.

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Fig 1 Expand

Fig 2.

Relationship between departmental proportion of women and women’s average total citations relative to men.

The x-axis shows the proportion of women in each department. The y-axis measures the inverse of the gender gap in the total citations, defined as the average total citations by female scholars as a percentage of the average total citations by male scholars, by department. Blue dots correspond to economic departments and green diamonds to political science departments. The line represents a locally weighted scatterplot smoothing (lowess). Departments with 0 women in our dataset (2 in economics and 5 in political science) are excluded from the analysis.

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Fig 2 Expand

Fig 3.

Relationship between departmental proportion of women and women’s average citations of most cited publication relative to men.

The x-axis shows the proportion of women in each department. The y-axis measures the inverse of the gender gap in the citations per publication, defined as the average citations per publication by female scholars as a percentage of the average citations per publication by male scholars, by department. Blue dots correspond to economic departments and green diamonds to political science departments. The line represents a locally weighted scatterplot smoothing (lowess). Departments with 0 women in our dataset (2 in economics and 5 in political science) are excluded from the analysis.

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Fig 3 Expand

Fig 4.

Relationship between departmental proportion of women and women’s average citations per publication relative to men.

The x-axis shows the proportion of women in each department. The y-axis measures the inverse of the gender gap in the citations per publication, defined as the average citations per publication by female scholars as a percentage of the average citations per publication by male scholars, by department. Blue dots correspond to economic departments and green diamonds to political science departments. The line represents a locally weighted scatterplot smoothing (lowess). Departments with 0 women in our dataset (2 in economics and 5 in political science) are excluded from the analysis.

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Fig 4 Expand

Table 2.

Regression analysis of women’s publication and citation averages relative to men’s, on the proportion of women at the department level.

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Table 2 Expand