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on Sociology of Economics |
| By: | Eva O. Arceo-Gómez (Department of Economics, CIDE) |
| Abstract: | The status of women in Economics in Mexico is unmoved. Progress has stalled at all levels. Female representation among students has varied from around 38 to 42% on average between 2010 and 2022. I found tiny declines in female representation from undergraduate to doctoral level, so there is no strong evidence of a leaky pipeline. Among researchers, 34% of the Economics researchers in the National System of Researchers are women. Female representation falls sharply for researchers as we climb the system's ladder. At the top of the system are four male economists per woman. Women's representation in academic production has increased over time, but for women in Mexican institutions, it has stalled, even though they are now teaching relatively less than men. Overall, Mexican women in Economics are facing stagnation in their progress toward a more balanced representation in student bodies, faculties, and academic production.Length: 54 pages |
| Keywords: | Mexico, Economics, women, underrepresentation |
| JEL: | A11 J16 J44 |
| Date: | 2025–03 |
| URL: | https://d.repec.org/n?u=RePEc:emc:wpaper:dte649 |
| By: | RePEc, IDEAS |
| Abstract: | The data presented here are experimental. They are based on a sample of the research output in Economics and Finance. Only material catalogued in RePEc is considered. For any citation based criterion, only works that could be parsed by the CitEc project are considered. For any ranking of people, only those registered with the RePEc Author Service can be taken into account. And for rankings of institutions, only those listed in EDIRC and claimed as affiliation by the respective, registered authors can be measured. Thus, this list is by no means based on a complete sample. You can help making this more comprehensive by encouraging more publications to be listed and more authors to register. |
| Date: | 2023–09–09 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:b6kcr_v1 |
| By: | Adler, Susanne Jana (Ludwig-Maximilians-University Munich); Röseler, Lukas (University of Münster); Schöniger, Martina Katharina |
| Abstract: | During the past few years, researchers have criticized their professions for providing an entry point for false-positive results arising from publication bias and questionable research practices such as p-hacking (i.e., selectively reporting analyses that yield a p-value below 5 %). Researchers are advocating replication studies and the implementation of open-science practices, like preregistration, in order to identify trustworthy effects. Nevertheless, because such consumer research developments are still emerging, most prior research findings have not been replicated, leaving researchers in the dark as to whether a line of research or a particular effect is trustworthy. We tackle this problem by providing a toolbox containing multiple heuristics to identify data patterns that might, from the information provided in published articles, indicate publication bias and p-hacking. Our toolbox is an easy-to-use instrument with which to initially assess a given set of findings. |
| Date: | 2023–07–29 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:s5mzp_v1 |
| By: | Adler, Susanne Jana (Ludwig-Maximilians-University Munich); Sharma, Pratyush N (The University of Alabama); Radomir, Lăcrămioara (Faculty of Economics and Business Administration, Babeș-Bolyai University) |
| Abstract: | Driven by the high-profile failures to reproduce and replicate published findings, there have been increasing demands to adopt open science practices across scientific disciplines in order to enhance research transparency. Critics have highlighted the use of underpowered studies and researchers’ analytical degrees of freedom as factors contributing to these issues. Despite methodological advances and updated guidelines, similar concerns persist regarding studies utilizing partial least squares structural equation modeling (PLS-SEM). Open science practices can help alleviate these concerns by facilitating transparency in PLS-SEM-based studies. However, the current level of adherence to these practices remains unknown. In this article, we conduct a comprehensive literature review of leading marketing journals to assess the extent to which open science practices are implemented in PLS-SEM-based studies. Based on the observed lack of adoption, we propose a PLS-SEM-specific preregistration template that researchers can use to foster transparency in their analyses, thereby bolstering confidence in their findings. |
| Date: | 2023–09–23 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:sbpe9_v1 |