|
on Sociology of Economics |
Issue of 2009‒09‒26
four papers chosen by Jonas Holmström Swedish School of Economics and Business Administration |
By: | William Thomson (University of Rochester) |
Date: | 2009–08 |
URL: | http://d.repec.org/n?u=RePEc:roc:rocher:553&r=sog |
By: | Gartell, Marie (Institute for Futures Studies) |
Abstract: | <p>The ranking of colleges varies both across methods and model specifications. Still, earnings equations tend to be consistent with regard to which colleges that on average are found in the top and bottom half of the earnings distribution. Moreover, there are no systematic differences in the ranking of colleges dependent on the age of the college, i.e. old versus new colleges. Although ranking by earnings equations provide some information about the relation to earnings, endogeneity issues preclude any causal interpretation of the rankings presented here.<p> |
Keywords: | University education; College choice; Ranking |
JEL: | I21 J16 J24 J31 J44 |
Date: | 2009–09–16 |
URL: | http://d.repec.org/n?u=RePEc:hhs:ifswps:2009_016&r=sog |
By: | Zhang, Ying (UNU-MERIT); Rajabzadeh, Iman (UNU-MERIT); Lauterbach, Rodolfo (UNU-MERIT) |
Abstract: | In this paper we empirically studied the relationship between network centrality and academic performance among a group of 47 PhD students from UNU-MERIT institute. We conducted an independent email survey and relied on social networks theory as well as standard econometric procedures to analyse the data. We found a significant reversed U-shaped relation between network centrality and students' academic performance. We controlled our results by several node's characteristics such as age, academic background, and research area. Additional evidence shows that there is a negative impact of age on academic performance at PhD student level. Contributions of this paper can refer to the input into studies that aim to explore peereffect. Also it contributes to the methodological approach by combining elements of network analysis and econometric theories. This study demonstrates that when evaluating the impact of network centrality on performance, there is no significant difference between various network centrality measurements. |
Keywords: | Networks analysis, Network centrality, Peer-effect, Academic performance |
JEL: | D85 I21 I23 L14 |
Date: | 2009 |
URL: | http://d.repec.org/n?u=RePEc:dgr:unumer:2009034&r=sog |
By: | Stefano Vannucci |
Abstract: | We introduce the dominance dimension principle and the parameterized family of criteria for the assessment of publication/citation profiles it generates. We show that by a suitable choice of parameters dominance dimension may specialize to the most widely known and used of those impact scores for the scientific output of individual authors which disallow indirect reputation effects, including the Durfee- or hnumber, the publication number and the citation number |
Date: | 2009–04 |
URL: | http://d.repec.org/n?u=RePEc:usi:wpaper:561&r=sog |