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X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
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TZID:Europe/Helsinki
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DTSTART:20180325T010000
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DTSTART:20181028T010000
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TZID:Europe/Paris
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DTSTART;TZID=Europe/Helsinki:20181128T001500
DTEND;TZID=Europe/Helsinki:20181128T133000
DTSTAMP:20260910T142218
CREATED:20181122T135634Z
LAST-MODIFIED:20181122T135634Z
UID:12160-1543364100-1543411800@crest.science
SUMMARY:Emanuele Tarantino (Mannheim)  - "The Effect of Horizontal Mergers\, When Firms Compete in Prices and Investments"
DESCRIPTION:CREST Microeconomics Seminar :  \n\nTime: 12:15 pm – 1:30pm\nDate:  28st November 2018\nPlace: Room 3001.\n\n  \n\nEmanuele Tarantino (Mannheim) – “The Effect of Horizontal Mergers\, When Firms Compete in Prices and Investments” \nAbstract: \nWe study the effects of mergers when firms over differentiated products and compete in prices and investments. Since it is in principle ambiguous\, we use aggregative game theory to sign the net effect of the merger. We find that only if it entailed sufficient efficiency gains\, could the merger raise total investments and consumer surplus. We also prove there exist classes of models for which the results obtained with cost-reducing investments are equivalent to those with quality-enhancing investments. Finally\, we show that\, from the consumer welfare point of view\, a R&D cooperative agreement is superior to any consumer-welfare reducing merger.\n \n\nOrganizers:\nRoxana Fernandez Machado (CREST)\, Marie Laure Allain (CREST)\, and Pierre Boyer (CREST)\nSponsors:\nCREST\nLunch registration:\nFood provided\, no registration needed.\n\n  \n
URL:https://crest.science/event/emanuele-tarantino-mannheim-the-effect-of-horizontal-mergers-when-firms-compete-in-prices-and-investments/
LOCATION:3001
CATEGORIES:Microeconomics
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DTSTART;TZID=Europe/Paris:20181128T120000
DTEND;TZID=Europe/Paris:20181128T130000
DTSTAMP:20260910T142218
CREATED:20181123T104754Z
LAST-MODIFIED:20181123T104754Z
UID:12163-1543406400-1543410000@crest.science
SUMMARY:Felix TROPF (University of Oxford) - "How gene-environment interaction shapes genetic discovery in the social sciences"
DESCRIPTION:\nThe Sociology Seminar: Thursdays\nTime: 12:00 pm – 1:00 pm\nDate: 28th of November 2018 Wednesday exceptionnally\nPlace: Room 3105\, ENSAE.\nFelix TROPF (University of Oxford) – “How gene-environment interaction shapes genetic discovery in the social sciences“\nAbstract : The emerging field of sociogenomics has great potential to improve empirical\, quantitative social science research. Genetic scores measuring an individual’s genetic predisposition for a trait can be used to control for genetic confounding in statistical models\, to estimate the differential individual response to (social) environmental conditions\, to increase power for the estimation of social science determinants and as instrumental variables in causal analysis of associations between social science variables. Genetic scores derived from genome-wide association studies\, however\, explain only a fraction of what we would expect based on heritability estimates obtained from whole-genome studies on single populations\, known as the ‘hidden heritability’ puzzle. Using seven sampling populations (n=35\,062)\, we test whether hidden heritability is attributed to heterogeneity across sampling populations and time\, showing that estimates are substantially smaller across populations compared with within populations. We show that the hidden heritability varies substantially: from zero for height to 20% for body mass index\, 37% for education\, 40% for age at first birth and up to 75% for number of children. Simulations demonstrate that our results are more likely to reflect heterogeneity in phenotypic measurement or gene–environment interactions than genetic heterogeneity. These findings have substantial implications for genetic discovery\, suggesting that large homogenous datasets are required for behavioural phenotypes and that gene–environment interaction may be a central challenge for genetic discovery. Nonetheless\, the potential for implementing genetic scores based on such studies into social science research remains immense.\nOrganizers : \nJeanne GANAULT\, Céline GOFFETTE\, Sander WAGNER (Laboratoire de sociologie quantitative – CREST)\nSponsors :\nCREST\n\n
URL:https://crest.science/event/sarah-valdez-tba-2-2-2-2-2-2-2-3/
CATEGORIES:Sociology
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DTSTART;TZID=Europe/Paris:20181128T140000
DTEND;TZID=Europe/Paris:20181128T150000
DTSTAMP:20260910T142218
CREATED:20181123T070325Z
LAST-MODIFIED:20181123T070325Z
UID:12162-1543413600-1543417200@crest.science
SUMMARY:Martin Kroll (CREST) - "(Nonparametric) Estimation under Privacy Constraints"
DESCRIPTION:\nThe Stats-Machine Learning-Econometrics Seminar.\nTime: 14:00 pm – 15:00 pm\nDate: 28th of November 2018\nPlace: Room 3001.\nMartin Kroll (CREST) – “(Nonparametric) Estimation under Privacy Constraints” \nAim of the talk: Introductory lecture based on results from different sources including some own results from work in progress. \n\n\n\nSponsors:\nCREST\n\n\n
URL:https://crest.science/event/martin-kroll-crest-nonparametric-estimation-under-privacy-constraints/
LOCATION:ENSAE Paris\, 5\, avenue Henry Le Chatelier\, 91120 Palaiseau\, France
CATEGORIES:Economics,Statistics
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