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DTSTART;TZID=Europe/Helsinki:20181221T090000
DTEND;TZID=Europe/Helsinki:20181221T130000
DTSTAMP:20181211T093424Z
CREATED:20181211T093322Z
LAST-MODIFIED:20181211T093424Z
UID:30885-1545382800-1545397200@iscpif.fr
SUMMARY:AG de l'équipe SAMM
DESCRIPTION:
URL:https://iscpif.fr/evenements/ag-de-lequipe-samm/
LOCATION:ISC-PIF\, 113 rue Nationale\, Paris\, Paris\, 75013\, France
CATEGORIES:.Partner Events,ISC-PIF Room 1.1,Private
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20181221T140000
DTEND;TZID=Europe/Helsinki:20181221T170000
DTSTAMP:20181219T153855Z
CREATED:20181212T145101Z
LAST-MODIFIED:20181219T153855Z
UID:30909-1545400800-1545411600@iscpif.fr
SUMMARY:Séminaire : "Dancing with the stars: Innovation through interactions"
DESCRIPTION:Le prochain séminaire « Systèmes Complexes en Sciences Sociales » organisé par le CAMS/EHESS  À L’ISC-PIF le vendredi 21 décembre accueillera Stéphanie Stantcheva\, Professeure d’économie à Harvard\, pour un exposé sur les interactions entre inventeurs.\n\nCette séance\, co-organisée avec Julien Randon-Furling\, SAMM\, Univ. Paris 1-Panthéon Sorbonne\, fait partie du cycle CAMS/EHESS en hommage à Thomas Schelling.\nTitre: Dancing with the stars: Innovation through interactions\nAbstract:\nAn inventor’s own knowledge is a key input in the innovation process. This knowledge can be built by interacting with and learning from others. This paper uses a new large-scale panel dataset on European inventors matched to their employers and patents. We document key empirical facts on inventors’ productivity over the life cycle\, inventors’ research teams\, and interactions with other inventors. Among others\, most patents are the result of collaborative work. Interactions with better inventors are very strongly correlated with higher subsequent productivity. These facts motivate the main ingredients of our new innovation-led endogenous growth model\, in which innovations are produced by heterogeneous research teams of inventors using inventor knowledge. The evolution of an inventor’s knowledge is explained through the lens of a diffusion model in which inventors can learn in two ways: By interacting with others at an endogenously chosen rate; and from an external\, age-dependent source that captures alternative learning channels\, such as learning-by-doing. Thus\, our knowledge diffusion model nests inside the innovation-based endogenous growth model. We estimate the model\, which fits the data very closely\, and use it to perform several policy exercises\, such as quantifying the large importance of interactions for growth\, studying the effects of reducing interaction costs (e.g.\, through IT or infrastructure)\, and comparing the learning and innovation processes of different countries. \n\nPaper: https://www.dropbox.com/s/khxnw544zm2rg3s/Dancing_with_the_Stars.pdf?dl=0\n\nSite internet du séminaire : http://cams.ehess.fr/systemes-complexes-en-sciences-sociales/\n\n\n\n\n\nVeuillez sélectionner un formulaire valide
URL:https://iscpif.fr/evenements/dancing-with-the-stars/
LOCATION:ISC-PIF\, 113 rue Nationale\, Paris\, Paris\, 75013\, France
CATEGORIES:.Partner Events,ISC-PIF Room 1.1
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