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on Sociology of Economics |
| By: | Damien Besancenot (CEPN - Centre d'Economie de l'Université Paris Nord - Université Paris 13 - Université Sorbonne Paris Cité (USPC) - CNRS); Kim Huynh (LEM - Laboratoire d'Économie Moderne - UP2 - Université Panthéon-Assas - M.E.N.E.S.R. - Ministère de l'Éducation nationale, de l’Enseignement supérieur et de la Recherche); Francisco Serranito (LEO - Laboratoire d'économie d'Orleans - CNRS - UO - Université d'Orléans) |
| Abstract: | This paper aims at estimating the determinants of co-authorship in economics. More specifically, we test the existence of a potential relationship between the research efficiency of an individual and that of his co-authors using a novem database of French academics. The main empirical result is that the number and the quality of a researcher's co-authors reflect the productivity of this researcher. |
| Keywords: | Count Data,Poisson models,Co-authorship |
| Date: | 2015 |
| URL: | http://d.repec.org/n?u=RePEc:hal:cepnwp:halshs-01204687&r=all |
| By: | Bobtcheff, Catherine; Bolte, Jérôme; Mariotti, Thomas |
| Abstract: | We propose and analyze a general model of priority races. Researchers privately have breakthroughs and decide how long to let their ideas mature before disclosing them, thereby establishing priority. Two-researcher, symmetric priority races have a unique equilibrium that can be characterized by a differential equation. We study how the shape of the breakthrough distribution and of the returns to maturation affect maturation delays and research quality, both in dynamic and comparative-statics analyses. Making researchers better at discovering new ideas or at developing them has contrasted effects on research quality. Being closer to the technological frontier enhances the value of maturation for researchers, which mitigates the negative impact on research quality of the race for priority. Finally, when researchers differ in their abilities to do creative work or in the technologies they use to develop their ideas, more efficient researchers always let their ideas mature more than their less efficient opponents. Our theoretical results shed light on academic competition, patent races, and innovation quality. |
| Keywords: | priority races; private information |
| JEL: | C73 D82 |
| Date: | 2015–10 |
| URL: | http://d.repec.org/n?u=RePEc:cpr:ceprdp:10858&r=all |
| By: | Sahoo, Biresh; Singh, Ramadhar; Mishra, Bineet; Sankaran, Krithiga |
| Abstract: | Given the growing emphasis on research productivity in management schools in India, the present authors developed a composite indicator (CI) of research productivity, using the directional benefit-of-doubt (D-BOD) model, which can serve as a valuable index of research productivity in India. Specifically, we examined overall research productivity of the schools and the faculty members during the 1968-2014 and 2004-2014 periods in a manner never done before. There are four key findings. First, the relative weights of the journal tier, total citations, impact factor, author h-index, number of papers, and journal h-index varied from high to low in order for estimating the CI of a faculty member. Second, both public and private schools were similar in research productivity. However, faculty members at the Indian Institutes of Technology (IITs) outperformed those at the Indian Institutes of Management (IIMs). Third, faculty members who had their doctoral degrees from foreign, relative to Indian, schools were more productive. Among those trained in India, alumni of IITs, compared to those of IIMs, were more productive. Finally, IIMs at Ahmedabad and Bangalore and the Indian School of Business, Hyderabad have seemingly more superstars than other schools among the top 5% researchers during 2004-2014. These findings indicate a shift in the priority from mere training of managers to generating impactful knowledge by at least two of the three established public schools, and call attention to improving the quality of doctoral training in India in general and IIMs in particular. Suggestions for improving research productivity are also offered. |
| Keywords: | Data envelopment analysis; Research productivity; Composite indicator; Business schools |
| JEL: | C61 D24 I23 |
| Date: | 2015–05–01 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:67046&r=all |
| By: | Ana Maria Takahashi (Graduate School of Economics, Kobe University); Shingo Takahashi (International University of University); Thomas Maloney (Department of Economics, University of Utah) |
| Abstract: | Using original survey data on Japanese academics in science and engineering, we examined the gender salary and promotion gaps. We found a 6% gender salary gap after controlling for ranks. This gap was unaffected when quality and quantity of publications were controlled for. In contrast, promotion gap disappeared when publication variables were controlled for. We failed to find negative effects of marriage and children on women's salary and promotion, though a positive sorting into motherhood could conceal such negative effects, and we provided suggestive evidence for this. Men and women are equally likely to move to other universities voluntarily, and the salary premiums from these job changes are the same for both genders, suggesting that outside job offers are not responsible for the gender salary gap. Finally, there are substantial gender differences in academic labor market dropout rates, which could lead to underestimation of the gender salary and promotion gaps. |
| JEL: | J7 |
| Date: | 2015–05 |
| URL: | http://d.repec.org/n?u=RePEc:iuj:wpaper:ems_2015_02&r=all |