Gender Revolution, Salary Revolution
To understand gender inequality at work, we have to keep talking about the gender pay gap, but we often lack supporting elements in our discussions. Goldin provides us with one. According to her groundbreaking study published in the American Economic Review (Goldin, 2014), the key to the gender pay gap lies in occupations with non-linear wages. Let’s explain it well. There are occupations with linear wages, where basically the more hours worked, the more money earned. It is proportional. However, there are occupations where wages are non-linear, they are convex. In these cases, working more hours means earning much more money than would be proportional. This is the case in law firms, banking, consulting, and the corporate world in general. Reaching the top is rewarded, but to get there, it takes not only talent, training, and aspiration, but countless hours worked, often 70+ hour workweeks. Not meeting the number of hours limits the real chances of reaching the top, and women, according to Goldin, by interrupting their careers more often, or reducing their number of hours per week, are less likely to reach the top position. And it’s in these fields where wages are non-linear that the real gender pay gaps emerge, not in more entry-level positions.
Goldin offers two pieces of empirical evidence. One in a field with non-linear wages (law), and one in a field with linear wages (pharmaceuticals). On the one hand, Goldin examined law graduates (JD) at the University of Michigan (1982-1991). After graduation, the wage differentials between men and women were zero. At five years they were minimal, but at 15 years the differences were very significant. Goldin explains that 60% of these disparities can be explained by two reasons, both of which are related to time: 1) career breaks (usually maternity), and 2) the number of hours worked per week. Flexibility is therefore an interesting tool, but with a very high price to pay in these occupations.
In contrast, in the pharmaceutical field, one of the most evenly paid yet linear careers, she found that 40% of women aged 30-50 in the study worked part-time, with no implications for their career paths. In this case, flexibility was equally interesting, but at the same time, there was no price to pay. There are two main reasons for this: employees are good substitutes for each other, and transaction costs are low. And this is explained by having highly standardised processes, allowing the substitution of one person for another, with no productivity implications (transaction costs). Therefore, the use of flexibility policies, be it career breaks or part-time work, has no negative implications for the individual or the company. Goldin therefore suggests 1) rethinking how time is allocated, used and remunerated, and 2) rethinking processes (using technology) to make employees good substitutes for each other, reducing transaction costs for the individual and the firm.
Hopefully, by the next March 8, we will have made important steps in the second part of the gender revolution, as well as in its last chapter.
References
Esping-Andersen, G. and Billari, F. C. (2015) “Re-theorizing Family Demographics”, Population and Development Review, 41(1), pp. 1–31. doi:10.1111/j.1728-4457.2015.00024.x.
Goldin, C. (2014) “A Grand Gender Convergence: Its Last Chapter”, American Economic Review, 104(4), p. 1091. doi:10.1257/aer.104.4.1091.
Goldscheider, F., Bernhardt, E. and Lappegård, T. (2015) “The gender revolution: A framework for understanding changing family and demographic behavior.”, Population and Development Review, 41(2), pp. 207–239.
[1] Gerson, K. (2009) The unfinished revolution: Coming of age in a new era of gender, work, and family. Oxford, UK: Oxford University Press.
[2] England, P. (2010) “The Gender Revolution : Uneven and Stalled”, Gender & Society, 24(2), pp. 149–166.
[3] Esping-Andersen, G. (2009) The Incomplete Revolution. Adapting to Women’s New Roles. Cambridge: Polity Press