Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Even though women׳s position in academia has changed dramatically over the last few decades, there is still some evidence that when it comes to evaluation of scientific achievements, gender may play a significant role. Gender bias is particularly likely to take the form of statistical discrimination. In this study we sought to verify the hypothesis that researcher׳s gender affects evaluation of his or her work, especially in a field where women only represent a minority. Towards this end we asked a sample of subjects, mostly economics majors, to evaluate a paper written by mixed-gender couples, indicating that it was (co-)authored by a “female economist”, “male economist”, “young female economist” or “young male economist” or giving no information about the author at all. While age factor played no role, female authors appeared to be seen as less competent than males, in that subjects (being incentivized to give their best judgment) less often believed that their papers have been published. This effect did not interact strongly with the gender of the subject.