Does gender matter for academic promotion? Evidence from a randomised natural experiment

Natalia Zinovyeva, Manuel F. Bagues 19 December 2010

a

A

Women have historically been under-represented in top academic positions. For years, this under-representation was partly the result of the smaller number of women obtaining doctorates. Currently, women account for about half of PhD graduates, but the increased presence of women at the lower rungs of the academic ladder has not translated into proportional increases in the presence of women at the top, particularly among full professors. For instance, in Spain, the presence of women among PhD graduates has grown from 36% to 49% over the last 20 years. During the same period, the incidence of women among faculty has increased from 30% to 39% among associate professors, but only from 11% to 18% among full professors (Figure 1).

The picture is qualitatively similar in the US and the rest of Europe. In Europe, women account for 45% of PhD graduates, 36% of associate professors and a mere 18% of full professors (European Commission 2009). In the US, excluding the humanities, the incidence of women among new PhDs was around 40%; figures are 34% and 19% for associate professors and full professors respectively (National Science Foundation 2009).

Figure 1. Proportion of women in Spanish Academia

Source: Authors calculations based on information from Instituto Nacional de Estadística, Estadística de la Enseñanza Universitaria, several issues.

Why are women less likely to become full professors?

It could be that women differ in some characteristics that divert them from advancement in their academic career. Some authors argue that family commitments make it more difficult for women to move up the academic career ladder beyond their early post-doctorate years (National Research Council 2007). Women's careers may also be hindered by the lack of role models among the upper echelons. Alternatively, women may face discrimination, either explicit or implicit, in promotions to top positions by the (mostly male) committees granting promotion. To prevent gender discrimination, several countries, including Norway (1988), Finland (1995), Sweden (1999) and Spain (2007), have introduced a minimum share of women in hiring and promotion academic committees (European Commission 2008). In principle, if male evaluators are biased against women and female evaluators are more objective, the introduction of gender quotas in hiring and promotion committees should improve the chances of success of female applicants. However, almost no empirical evidence exists about the effectiveness of these policies.

A neat empirical analysis is usually hard to come by. In most situations, it cannot be ruled out that the gender composition of hiring committees is related to the relative quality of female and male candidates. The available empirical evidence dealing with endogeneity provides results contradicting the view that gender quotas are effective. Broder (1993) examines the ratings of proposals to grants from the National Science Foundation. She finds that female reviewers rate female-authored proposals lower than do their male colleagues. Following a similar identification strategy, Abrevaya and Hamermesh (2011) examine referee evaluations in a leading journal in Economics and do not find any effect from the interaction between the gender of referees and the gender of authors. In another setting, Bagues and Esteve-Volart (2010) analyse hiring for entry-level positions in the Spanish Judiciary and find that female candidates are significantly less likely to be hired if they are (randomly) assigned to a committee with a relatively greater proportion of female evaluators. In the same spirit, Booth and Leigh (2010) conduct an audit study in several female-dominated occupations in Australia and do not find any significant interaction between the gender of the applicant and the gender of the contact person in the hiring firm.

This body of evidence suggests that policymakers should not take female evaluators' alignment with female candidates as granted; however, none of these studies considers promotion to top positions. Given the low presence of women in top positions, and the persistence of the so-called “glass ceiling”, additional evidence is needed in order to understand the role of the gender of evaluators for promotion for higher level academic positions.

Peering through the glass ceiling

In recent research (Zinovyeva and Bagues 2010), we address this issue using evidence from promotions in the Spanish university system between 2002 and 2006. During this period, all academic promotions were decided through nation-wide competitions. Our setup has three exceptional features.

  • Evaluations were performed for two types of positions: associate professor and full professor positions.
  • The system affected a large number of candidates, as well as evaluators from all academic disciplines. In total, approximately 35,000 candidacies were evaluated by 7,000 evaluators.
  • Evaluators were selected out of a pool of eligible professors using a lottery. The existence of a system of random assignment of evaluators to committees allows us to consistently estimate the effect of the gender composition of committees. To our knowledge, this is the first study that exploits a randomised natural experiment in order to analyse the determinants of promotion to top positions.

We find that the gender composition of committees strongly affects the chances of success of candidates applying to full professor positions. In quantitative terms, for a committee with seven members, an additional female evaluator increases the chances of success of female applicants by 14%. When evaluators decide on promotions to associate professor positions, we fail to observe any significant interaction between the gender of evaluators and the gender of candidates. If anything, a larger presence of women in the committee may decrease the number of female candidates promoted to associate professor1. To investigate which committees are gender-biased in exams to full professor positions, we have collected information on the research productivity of candidates from the ISI Web of Science. Specifically, we observe the number of publications and the number of citations received by candidates. As long as these measures capture all potential gender differences in quality, taking them into account allows us to estimate the source of discrimination. We find that, conditional on the research production of candidates, female applicants to full professor positions have lower probability of success relative to male candidates when assigned to an all-male committee. In committees including at least one woman, we do not observe significant gender differences in success rates.

We explore several potential explanations consistent with our evidence. We find that the gender bias exists in small disciplines, but not in large disciplines. This goes against information-based explanations of the gender bias: in large disciplines, people are less likely to know each other prior to the exam, and thus information asymmetries should be larger. Our findings are also not consistent with female candidates being discriminated against on the basis of age, or with the existence of gendered networks. Instead, the evidence in this paper might reflect the existence of ambivalent sexism, arising when men's attitudes toward female candidates depend on the position at stake. Specifically, male evaluators might experience sexist antipathy towards female candidates applying to top academic positions, but not towards female applicants to lower-level positions.

Our findings have direct policy implications for countries and institutions that encourage female representation on hiring and promotion committees. In the case of Spain, since 2007, the gender quotas exist in all hiring and promotion committees in public institutions, including academic committees. The quota mandates that at least 40% of committee members must be of each gender. Given the low numbers of women in the upper levels of academia, this has implied that women participate in committees much more often than men. A back-of-the-envelope calculation suggests that a female full professor will sit in committees four times more often than a male full professor. Sitting on committees reduces the available time for research; thus gender quotas might lower the productivity of women who have managed to overcome the glass ceiling2. Since, as shown in this paper, quotas may have a positive effect on female promotion to full professor positions only, our work provides strong evidence against implementing gender quotas at the lower rungs of the academic ladder. Moreover, according to our findings, the presence of a single female on the committee is enough to overcome the gender bias in evaluation.

References

Abrevaya, Jason and Daniel S. Hamermesh (2011), “Charity and Favoritism in the Field: Are Female Economists Nicer (to Each Other)?", Review of Economics and Statistics, forthcoming.

Bagues, Manuel and Berta Esteve-Volart (2010), “Can Gender Parity Break the Glass Ceiling? Evidence from a Repeated Randomized Experiment", Review of Economic Studies, 77(4):1301-1328.

Booth, Alison L and Andrew Leigh (2010), “Do Employers Discriminate by Gender? A Field Experiment in Female-Dominated Occupations", Economic Letters, 107(2):236-238.

Broder, Ivy E (1993), “Review of NSF Economics Proposals: Gender and Institutional Patterns", American Economic Review, 83(4):964-970.

European Commission (2008), Mapping the Maze: Getting More Women to the Top in Research, Publication Office of the European Union.

European Commission (2009), She Figures 2009: Statistics and Indicators on Gender Equality in Science, Publication Office of the European Union.

National Research Council (2007), Beyond Bias and Barriers: Fulfilling the Potential of Women in Academic Science and Engineering, The National Academy Press.

National Science Foundation, Division of Science Resources Statistics (2009), “Characteristics of Doctoral Scientists and Engineers in the US: 2006”. Detailed Statistical Tables NSF 09-317.

Zinovyeva, Natalia and Manuel Bagues (2010), “Does Gender Matter for Academic Promotion? Evidence from a Randomized Natural Experiment”, FEDEA Working Paper 2010/15.


1 The magnitude of the effect is similar to the effect found in Bagues and Esteve-Volart (2010), but it is not significant at standard levels.

2 Daniel Hamermesh warns young female economists to avoid requests to sit in committees `like the plague'. According to his view, asking women disproportionately to sit on committees constitutes `another form of sexual exploitation' (An Old Male Economist's Advice to Young Female Economists, CSWEP Newsletter, Winter 2005, p. 2).

a

A

Topics:  Global governance

Tags:  gender, academia, sexism

Comments

Dear Doctors Bagues and Zinovyeva,
Thanks for sharing the key findings of your research. The topic is very interesting and it seems like your research has the potential to provide original evidence due to the setting. It would be great if you could also share basic statistics to support your claims. A number of questions can be made regarding your approach:
1)  your research focuses on the association between evaluators' gender and candidates's gender. You write that evaluators were selected and assigned randomly to committees. If randomization work (and sometimes does not work)subjects characteristics should average out among groups (ctees in your case). Dd you check if this is true? Also, do you know if candidates were randomly assigned to evaluators's committees? Can you document how candidates were assigned to their evaluators. This is not clear from your article.
2) You write that there is a strong association between gender composition of committees and candidates success for full professor positions and quantify in 14% increase in success rate this figures. Would you provide crude statistical data to allow readers figure out what this means in absolute terms (i.e. 30% for all males ctee and 34% for mixed ctee is different from 60% and 68 although relative rate is still 14% for both examples)? Did you use a statistical test on this figures and justify your statement about the strenghts of the relationship?
3) you say that you found no significant interaction between evaluators gender and candidates for associate professor but then you say that actually a larger presence of women may decrease the number of females candidates promotes (which is counterintuitive and potentially interesting finding). Do you think that these two statements are consistent? Would you please provide the relative rate of success to allow the reader the comparison? Would you also provide statistical test to understand if the difference you are commenting is actually statistically significant or not?
4) for the full professor cohort, I understand that your tried to adjust for potential confounders by using number of publications and citations. Is my understanding correct? As again, by reading the article it is not clear if you properly adjusted for these confounders (i.e. females candidates assessed by all-males ctees may have been "worst" candidates than males, that's why you need to adjust for academic performances to actually observe the relationship you are studying). Agian you do not provide statistica evidence to support your claim (ctees with one woman are more objectives);
Hope this helps,
Michele Intorcia
 

Assistant Professor at Universidad Carlos III in Madrid, Spain

Research Fellow, Foundation for Applied Economics Research