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on Sociology of Economics |
| By: | Bateman, Victoria; Hengel, Erin |
| Abstract: | This article reports on women’s representation in UK economics over the last quarter century. While progress has been made, women in 2018 were only 32 percent of economics undergraduate students and 26 percent of academic economists. Our data also suggest several areas of stagnation and retreat. First, the percentage of female UK nationals studying economics is low and falling over time. Second, female economists are substantially more likely to be employed at lower academic ranks and in fixed-term—and generally lower status—teaching- and research-only positions. Third, the representation of women is especially low among ethnic minorities studying for an economics PhD. And finally, the percentage of economics professors with Asian ethnicity who are women has been falling over time, and at no point between 2012-2018 was a Black female professor of economics employed anywhere in the UK. |
| Keywords: | gender; diversity; labour market equality; women in the economics profession; gender gap |
| JEL: | J24 I23 J44 A11 |
| Date: | 2023–06–01 |
| URL: | http://d.repec.org/n?u=RePEc:ehl:lserod:118205&r=sog |
| By: | Christian Lessmann (Dresden University of Technology); Ali Sina Önder (University of Portsmouth) |
| Abstract: | We analyze whether the social media popularity of scientists affects the number of academic citations. We use the COVID-19 global pandemic as a quasi-natural experiment exogenously increasing public attention and the demand for expertise. Using social media stars’ and their coauthors’ publications on COVID-related topics prior to the break out of the pandemic, we find that the social media star status added 1.10 citations following the breakout of COVID-19 per year per article, corresponding to 80% of the pre-COVID citation gap between stars and their coauthors. We find no significant treatment effect based on scientists’ Kardashian indexes. |
| Keywords: | Social Media; Expertise; Kardashian index; Citations; Covid |
| JEL: | J24 O33 |
| Date: | 2023–12–04 |
| URL: | http://d.repec.org/n?u=RePEc:pbs:ecofin:2023-09&r=sog |
| By: | Sebastian Hager (LMU Munich); Carlo Schwarz (Bocconi University); Fabian Waldinger (LMU Munich) |
| Abstract: | We study how performance metrics affect the allocation of talent. We exploit the introduction of a new measure of scientific performance: citation metrics. For technical reasons, the first citation database only covered citations from certain journals and years. Thus, only a subset of citations became visible, while others remained invisible. We identify the effects of citation metrics by comparing the predictiveness of visible to invisible citations. Citation metrics increased assortative matching between scientists and departments. We also find that highly-cited scientists in lower-ranked departments (“hidden stars”) benefited from citation metrics, while minorities did not. Citation metrics also affected promotion decisions. |
| Keywords: | performance metrics; allocation of talent; citations; scientists; |
| JEL: | J62 O31 J45 O31 J45 |
| Date: | 2023–11–17 |
| URL: | http://d.repec.org/n?u=RePEc:rco:dpaper:455&r=sog |
| By: | Henderson, Emma Louise (University of Surrey); Jacobs, Neil; Farran, Emily Kate |
| Abstract: | In an era characterised by unprecedented global challenges, Open Research practices have emerged as a powerful catalyst for research quality, transparency, and collaboration. Open Research need not be in tension with other drivers such as commercialisation, privacy, or national security, and it can boost institutional reputation and income. This briefing note sets out why Open Research should be a strategic imperative for institutions seeking to thrive in a dynamic academic landscape. |
| Date: | 2023–11–22 |
| URL: | http://d.repec.org/n?u=RePEc:osf:osfxxx:afgh5&r=sog |