nep-sog New Economics Papers
on Sociology of Economics
Issue of 2022‒02‒28
four papers chosen by
Jonas Holmström
Axventure AB

  1. Библиометрическое равновесие By Polterovich, Victor
  2. The Academic Origins of Economics Faculty By Jones, Todd R.; Sloan, Arielle A.
  3. Women in Economics: Europe and the World By Auriol, Emmanuelle; Friebel, Guido; Weinberger, Alisa; Wilhelm, Sascha
  4. Gender Differences in Reference Letters: Evidence from the Economics Job Market By Eberhardt, Markus; Facchini, Giovanni; Rueda, Valeria

  1. By: Polterovich, Victor
    Abstract: A general concept of bibliometric equilibrium is introduced and a model describing its special case is proposed. The model considers a set of authors who choose strategies of submitting their papers to a set of journals, taking into account the probabilities of accepting the papers and the remuneration they receive. The size of rewards depends on journal rankings formed as a result of the decisions made. A bibliometric equilibrium in such a system (which is a modification of the Nash equilibrium) exists under natural assumptions. As a special case, rewards and citation strategies may depend on a priori perceptions about the quality of journals. The conditions under which the equilibrium corresponds to these perceptions are discussed. A number of directions for the development of the theory of publication systems, within which authors, journal editors and research coordinators interact, are outlined.
    Keywords: journal ranking, impact factor, reviewing, citation strategy, research management
    JEL: A11 A14 C38 C62 D02
    Date: 2022–02–03
  2. By: Jones, Todd R. (Mississippi State University); Sloan, Arielle A. (Independent Researcher)
    Abstract: We use roster data of 96 top U.S. economics departments to document the academic origins of their tenure-track faculty. Academic origins may have implications for how undergraduate (B.A.) and doctoral (Ph.D.) students are trained and placed, as well as the type of research produced. We find that faculty educated at top-ranked Ph.D. universities are overrepresented; e.g., over half of our sample attended a top 15 university, and over a third attended a top six university. We find similar, but less pronounced, patterns for B.A. origins; e.g., over a third of those with a U.S. B.A. attended a top 15 university.
    Keywords: doctoral origins, Ph.D. origins, bachelor origins, B.A. origins, academic labor market, economics faculty
    JEL: I2 I23 J2 J4
    Date: 2021–12
  3. By: Auriol, Emmanuelle; Friebel, Guido; Weinberger, Alisa; Wilhelm, Sascha
    Abstract: Based on a data set that we collected from the top research institutions in economics around the globe (including universities, business schools and other or- ganizations such as central banks), we document the underrepresentation of women in economics. For the 238 universities and business schools in the sample, women hold 25% of senior level positions (full professor, associate professor) and 37% of junior level positions. In the 82 U.S. universities and business schools, the figures are 20% on the senior level and 32% on the entry level, while in the 122 European institutions, the numbers are 27% and 38%, respectively, with some heterogeneity across countries. The numbers also show that the highest-ranking institutions (in terms of research output) have fewer women in senior positions. Moreover, in the U.S., this effect is even present on the junior level. The “leaky pipeline” may hence begin earlier than oftentimes assumed, and is even more of an issue in the highly integrated market of the U.S. In Europe, an institution ranked 100 places higher has three percentage points fewer women in senior positions, but in the U.S. it is almost five percentage points.
    Keywords: gender equality ; academic hierarchies ; leaky pipeline
    JEL: A11 J16
    Date: 2022–01–19
  4. By: Eberhardt, Markus (University of Oxford); Facchini, Giovanni (University of Nottingham); Rueda, Valeria (University of Nottingham)
    Abstract: Academia, and economics in particular, faces increased scrutiny because of gender imbalance. This paper studies the job market for entry-level faculty positions. We employ machine learning methods to analyze gendered patterns in the text of 9,000 reference letters written in support of 2,800 candidates. Using both supervised and unsupervised techniques, we document widespread differences in the attributes emphasized. Women are systematically more likely to be described using "grindstone" terms and at times less likely to be praised for their ability. Given the time and effort letter writers devote to supporting their students, this gender stereotyping is likely due to unconscious biases.
    Keywords: gender, natural language processing, stereotyping, diversity
    JEL: J16 A11
    Date: 2022–01

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