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DTSTART;TZID=UTC:20240129T090000
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SUMMARY:Biases\, Discrimination\, and Fairness\, Arthur Charpentier (Université du Québec à Montréal)
DESCRIPTION:  \n\n\n\n  \n  \nSCHEDULE\n  \nMonday\n  \n29th January 2024 \n5th February 2024\n  \nFrom 9:00 to 12:15\n  \nRoom 2033\n\n\n  \nThursday\n  \n1st February 2024\n  \nFrom 9:00 to 12:15\n  \nRoom 2033\n\n\n\nAims and objectives\nThis course will provide a state-of-the-art\, on fairness and discrimination\, in the context of insurance pricing (and more generally\, predictive models). As explained by Avraham et al. (2014) “‘insurance companies are in the business of discrimination. Insurers attempt to segregate insureds into separate risk pools based on the differences in their risk profiles\, first\, so that different premiums can be charged to the different groups based on their differing risks and\, second\, to incentivize risk reduction by insureds. This is why we let insurers discriminate. There are limits\, however\, to the types of discrimination that are permissible for insurers. But what exactly are those limits and how are they justified?”. First\, we will come back to the specificities of predictive models in insurance. We will come back to the different places where a potential discrimination can intervene\, by insisting on the possible biases in the data\, in the models. We will present in particular the regulations in Europe and North America. In a second step\, we will see how to quantify a possible discrimination\, insisting on the main measures of “group-fairness”\, before discussing the individual approach\, in particular in relation with the causal approaches. Indeed\, the central question of discrimination is “would the price have been different if this person had been a man instead of a woman”. We will see how to build a counterfactual allowing to quantify a possible discrimination. Finally\, we will see how to correct a discrimination\, insisting on the in-processing (throught penalized models) and post-processing approaches (using optimal transport). \n
URL:https://crest.science/event/biases-discrimination-and-fairness-arthur-charpentier-universite-du-quebec-a-montreal/
LOCATION:2033
CATEGORIES:Actuarial Science
ORGANIZER;CN="Christian-Yann%20Robert":MAILTO:christian-yann.robert@ensae.fr
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240130T121500
DTEND;TZID=Europe/Helsinki:20240130T133000
DTSTAMP:20260711T092400
CREATED:20240104T092849Z
LAST-MODIFIED:20240104T093450Z
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SUMMARY:Alina Ozhegova (Norwegian School of Economics) "Assortment Choice and Market Power under Uniform Pricing"
DESCRIPTION:Applied Seminar \nTime: 12:15 pm – 13:30 pm\nDate: 30th of January\nRoom : 3001 \n  \nAlina Ozhegova (Norwegian School of Economics) “Assortment Choice and Market Power under Uniform Pricing” \nAbstract :This paper studies how retailers strategically use product assortment to respond tolocal market conditions when prices are set at the national level. When firms cannotincrease the price of a product that is particularly popular in a local market\, theycan instead replace the product with a more expensive substitute. The profitabilityof these assortment substitutions depends on the degree of market competition. Thisstudy uses extensive receipt and store-level data and a structural equilibrium model todistinguish the impact of market power on assortment choice from other market forces\,such as logistics costs. The findings confirm that firms make use of assortment choices\,offering fewer and pricier products in markets with stronger local market power. I showthat a uniform assortment would benefit consumers but would reduce firm profits.Counterfactual policy experiments reveal that government intervention can improvetotal market welfare through subsidies to consumers or retailers in remote areas \nOrganizer: Marie-Laure ALLAIN \n
URL:https://crest.science/event/alina-ozhegova-norwegian-school-of-economics-assortment-choice-and-market-power-under-uniform-pricing/
CATEGORIES:Applied Seminar,Seminars
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240130T163000
DTEND;TZID=Europe/Helsinki:20240130T180000
DTSTAMP:20260711T092400
CREATED:20240116T153804Z
LAST-MODIFIED:20240116T153804Z
UID:16473-1706632200-1706637600@crest.science
SUMMARY:Webinaire IPP Emploi et handicap :  Quel ampleur de la discrimination ? Quels outils pour lutter contre ?
DESCRIPTION:Discussion autour des des résultats de la note 98 de l’IPP en présence de Marion Goussé\, de Véronique Bustreel et de Carole Salères \n \n30 janvier à 16h30 \n
URL:https://ebaf8297.sibforms.com/serve/MUIFAPEz1TiQlBekHZn90zB0ippVzncmM0sg6YJg6bfUSKFAgMwIbqh9DiEQStXFciFUtGNcjZqKVYe_yxNId9AHVDy-sC5E31_SRj81Ape8vctXPWUVf-PxK3kmfBbj_XlF8AyJ_555OBGgRMvsFspULSBQzknIQezLvJKrWrtppq8rUfIIVpdLNTDH6kI31rawxWCfx-IYJrCr#new_tab
CATEGORIES:Conferences and Workshops,Economics
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