Abstract: Network analysis is devoted to the study of a set of relationships with the aim of understanding the structure generated by these relationships. In this presentation we shall present an application of graph theory and network analysis in the field of international relations, particularly the case of ratifications of multilateral treaties related to the environment (work done in collaboration with Pierre Mazzega, University of Toulouse and Ana Flavia Barros-Platiau, University of Brasília). Indeed we can first analyze the network of "immediate ratifications" where a treaty X will be in relation with another treaty Y if there is a country that has ratified Y just after X. We can also have a dual vision where the ratifications of multilateral environmental agreements induce a network of countries linked in pairs when one ratifies the same agreement right after the other. Further modeling may be presented either on other networks that can be analyzed or on the use of hypergraphs.
Short Bio of the Speaker: Romain Boulet is maître de conférences in mathematics at IAE Lyon school of management, University Lyon 3. His research interests are graph theory (especially algebraic graph theory) and network analysis with a particular interest in interdisciplinary collaborations. He has worked on networks of legal texts, networks of international relations between countries but also networks from history or geography.
Speaker's website: www.romainboulet.fr
If you’d like us to provide a sandwich for you, please confirm your attendance by 9 March 2018
Abstract: The fraction of women in economics has grown significantly over the last forty years. Yet, differences in research output between men and women remain large and persistent. These output differences are reflected in large network differences across the genders. Women have fewer collaborators, collaborate more often with the same coauthors, and a higher fraction of their coauthors are also coauthors of each other. Moreover, women coauthor a large share of their work and do so with more senior coauthors. Standard models of homophily and discrimination cannot account for these differences. We discuss how differences in risk aversion between men and women can explain them.
Short Bio of the Speaker: Anja Prummer is a Lecturer at Queen Mary University of London. Previously, she was a Postdoctoral Fellow at the Cambridge-INET Institute, University of Cambridge. She received her Ph.D. from the European University Institute, Florence. Her research interests are Social Networks and Political Economy.
Speaker's website: https://sites.google.com/site/anjaprummer/
Abstract: Differences in regulated pharmaceutical prices within the European Economic Area can be exploited by pharmacy retailers using parallel imports. Such provision decisions affect the sharing of profits in markets for prescription drugs, including the profitability of innovating pharmaceutical companies before patent expiry, when parallel trade is the unique source of upstream competition. We develop a structural model of demand and supply where retailers can choose the set of goods to sell to consumers, thus foreclosing the access to some drugs, in response to differences in profitability across products. On the supply side, retailers bargain over wholesale prices with the manufacturer and parallel traders. With detailed transaction data, we identify a demand model with unobserved choice sets using supply side conditions for optimal assortment decisions of pharmacies. Estimating our model, we find that retailer incentives play a significant role in fostering parallel trade penetration. Our counterfactual simulations show that the parallel imports of drugs have large implications for the distribution of industry profits. In particular, retailers gain at the expense of pharmaceutical companies, while parallel traders also gain but more modest profits. Finally, a policy preventing pharmacies in foreclosing the manufacturer’s product is shown to partially shift profits from pharmacists to both parallel traders and the manufacturer, and a reduction in the regulated retail price favors the manufacturer even more.
Short Bio of the Speaker: Professor Dubois is a Scientific Director of the Toulouse School of Economics and the Managing Editor of the International Journal of Industrial Organization.
Speaker's website: https://pierredubois.github.io/
Governance Analytics vous invite à une session de formation sur le logiciel Tableau (https://www.tableau.com/fr-fr)
La présentation sera en français et les places sont limitées.
Merci de vous inscrire sur le site web suivant si vous êtes intéressé(e) :
Les participants sont encouragés à installer le logiciel avant de venir à la formation afin de réaliser quelques exercices.
Many of the projects that responded to the call of research cooperation of Governance Analytics are related to the textual and/or Web data. However, project owners may not have a clear idea of what data are available or how they can get and process it. In this presentation, I will propose tools and methods that may help researchers identify potential research questions and methods based on the examples of ongoing Governance Analytics projects.
Bruno Chaves Coordinator of Governance Analytics
Alors que la fonction publique emploie très largement des femmes, il y a relativement peu d’analyses sur les inégalités de rémunérations entre les hommes et les femmes dans ce secteur. Ce point aveugle est en partie lié à l’idée que les règles institutionnelles de recrutement et de fixation des rémunérations dans la fonction publique ajoutées au rôle protecteur des syndicats laissent moins de place à des inégalités selon le sexe. Toutefois un "plafond de verre" est également observé dans la fonction publique en France. Dans cette présentation, nous appliquerons une méthode proposée par Gobillon et al. (2015) pour estimer cette différence d'accès aux rangs les plus élevés. Dans un deuxième temps, nous montrerons que de ce point de vue, la fonction publique est très proche des pratiques du secteur privé.
Titre original de l’article : « Egalité professionnelle entre les hommes et les femmes : des plafonds de verre dans la fonction publique ? »
Publié dans : Economie et Statistique, 2016, volume 488-489, p. 97-121
Téléchargement : http://laurent.gobillon.free.fr/page_web/articles/fremigacci_al_2016_genre.pdf
Dominique Meurs est Professeure à l'Université de Paris Ouest Nanterre La Défense et Chercheuse à EconomiX (CNRS UMR 7235) et chercheuse associée Ined
Introduction of Prof. Winkels: Radboud G.F. Winkels is associate professor in Computer Science and Law at the "Leibniz Center for Law" (LCL) of the Faculty of Law of the University of Amsterdam, the Netherlands and dean of the PPLE college.
He started his academic career as a student in psychology at the University of Amsterdam. In April 1987 he received his Master's Degree (with honours) in Artificial Intelligence. Since then he has been working as a full-time AI-researcher at the University of Amsterdam, first at the department of "Social Science Informatics" (now Human-Computer Studies Lab) and since March 1989 at the department of Law and Computer Science (now LCL), where he is now senior lecturer/associate professor. In this last capacity he is also a participant in the research school SIKS. His research deals with Intelligent Learning Environments, and Artificial Intelligence and Law.
Legal network analysis : Sources of Law form a large and growing network. Legislation is full of internal and external references, case law cites other case law and refers to legislation, legal doctrine and commentaries cite both case law and legislation and possibly other commentaries. This reserarch is aimed at trying to exploit this network structure to help (legal) practitioners and legal scholars. We address questions like: Can we use network features to determine authority of cases? Can we use it to assess the impact of planned legislative changes? Can we exploit the network structure to suggests useful sources of law to a practioner given a particular item, in focus? Can legal scholars use netweork analysis techniques to discover breaches in lines of thinking of courts?
Professor Winkels will give us a lecture on computational legal network analysis and disucss some applications in social sciences. Anyone interested in inter-disciplianary research on social sciences, legal studies and computer science should not miss it.
If you’d like us to provide a sandwich for you, please confirm your attendance by 26th May 2017
Speaker's website: http://www.leibnizcenter.org/~winkels/
In this paper, we aim to bring the debate on the global productivity slowdown – which has largely been conducted from a macroeconomic perspective – to a more micro-level. We show that a particularly striking feature of the productivity slowdown is not so much a lower productivity growth at the global frontier, but rather rising labour productivity at the global frontier coupled with an increasing labour productivity divergence between the global frontier and laggard (non-frontier) firms. This productivity divergence remains after controlling for differences in capital deepening and mark-up behaviour, suggesting that divergence in measured multi-factor productivity (MFP) may in fact reflect technological divergence in a broad sense. This divergence could plausibly reflect the potential for structural changes in the global economy – namely digitalisation, globalisation and the rising importance of tacit knowledge – to fuel rapid productivity gains at the global frontier. Yet, aggregate MFP performance was significantly weaker in industries where MFP divergence was more pronounced, suggesting that the divergence observed is not solely driven by frontier firms pushing the boundary outward. We contend that increasing MFP divergence – and the global productivity slowdown more generally – could reflect a slowdown in the diffusion process. This could be a reflection of increasing costs for laggard firms of moving from an economy based on production to one based on ideas. But it could also be symptomatic of rising entry barriers and a decline in the contestability of markets. We find the rise in MFP divergence to be much more extreme in sectors where pro-competitive product market reforms were least extensive, suggesting that policy weaknesses may be stifling diffusion in OECD economies.
We quantify how access to frontier knowledge affects the creation of ideas. We show that citing frontier knowledge is correlated with producing high-quality papers. Because this correlation may be driven by unobserved factors, we identify the causal effect of frontier knowledge by analyzing a sudden collapse of international scientific cooperation. We show that World War I and the subsequent boycott against Central scientists severely reduced the dissemination of international knowledge, including knowledge at the scientific frontier. We then estimate how the reduction of international knowledge flows affected the productivity of scientists. Specifically, we compare productivity changes for scientists who relied on frontier knowledge from abroad, to changes for scientists who relied on frontier knowledge from home. After 1914, scientists who relied on frontier knowledge from abroad published fewer papers in top science journals and produced less Nobel Prize-nominated research. Our results indicates that access to the very best research, the top 1%, is essential for scientific progress.
Speaker's website: https://sites.google.com/site/aleiaria82/home
Link to the paper: https://www.dropbox.com/s/d25bzozaptd3t6q/Knowledge%20Accumulation3_small.pdf?dl=0
This project is designed to develop a comprehensive database on the French stock markets since 1796, and to be extended to other kinds of data and to other European countries. In combination with other research infrastructures such as the SCOB database of the Antwerp University, it would meet the need for a benchmark infrastructure, first in France and then in Europe, to develop high-quality research by both scholars and the financial services.
Big data, smart data, data science... sont autant de termes qui ont diffusé auprès du public et des différents domaines scientfiques en quelques années. Les domaines de la santé et la recherche biomédicale en particulier s'y sont intéressé à partir de 2008, et le nombre de publications portant sur le "big data" en santé augmente exponentiellement depuis 2012. Néanmoins, nous sommes encore essentiellement au temps des promesses qui restent à concrétiser et à évaluer. En France, en particulier, il existe encore assez peu d'initiatives concrètes relevant d'une data science en santé. Parmi ces initiatives, la plupart sont actuellement portées par le milieu hospitalier, que ce soit en Ile de France (APHP) ou dans le Grand Ouest (CHRU de Brest, Rennes). Nous présentons ici le contexte du big data en santé, ainsi que deux projets actuellement en cours de déploiement en milieu hospitalier. Le projet d'entrepôt de données de santé soutenu par l'APHP et recouvrant les données de tous les établissements de l'APHP sera également présenté. D'autres projets en perspective à court et moyen termes seront esquissés.
Les intervenants :