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PRODID:-//CREST - ECPv5.1.3//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
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TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20240331T010000
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TZOFFSETFROM:+0300
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DTSTART:20241027T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240108T121500
DTEND;TZID=Europe/Helsinki:20240108T133000
DTSTAMP:20260712T071648
CREATED:20240103T151937Z
LAST-MODIFIED:20240104T090602Z
UID:16397-1704716100-1704720600@crest.science
SUMMARY:Sampreet Goraya (Stockholm School of Economics) "Climate Change\, Firms and Aggregate Productivity"
DESCRIPTION:Macro seminar\nTime : 12h15 – 13h30 \nDate : 08 Janvier 2024 \nSalle 3001 \nSampreet Goraya (Stockholm School of Economics) “Climate Change\, Firms and Aggregate Productivity” \nAbstract:This paper presents a general equilibrium structural framework that separates the effects of temperature on firm-level demand\, productivity\, and input allocative efficiency to examine the aggregate productivity losses caused by climate change. By analyzing data from Italian firms\, that cover approximately 75% of aggregate gross output\, and incorporating detailed climate data\, the paper reveals an inverted U-shaped relationship between temperature and firm-level outcomes such as productivity and revenue-based marginal product of capital. Leveraging these micro semi-elasticities\, the paper projects the aggregate productivity losses resulting from climate change scenarios. The findings indicate a significant and nonlinear relationship between climate change and aggregate productivity\, with a projected 2-degree Celsius increase leading to a 1.8% decline. Doubling the expected increase to 4 degrees exacerbates the decline nearly fourfold to approximately 6.4%. Finally\, the analysis highlights widening regional disparities as a consequence of climate change. \nOrganizer : Suzanne BELLUE \n
URL:https://crest.science/event/sampreet-goraya-stockholm-school-of-economics-climate-change-firms-and-aggregate-productivity/
CATEGORIES:Macroeconomics,Seminars
ATTACH;FMTTYPE=:
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240108T140000
DTEND;TZID=Europe/Helsinki:20240108T151500
DTSTAMP:20260712T071648
CREATED:20231222T093609Z
LAST-MODIFIED:20231222T093819Z
UID:16386-1704722400-1704726900@crest.science
SUMMARY:Clément BONET (CREST) - Sliced-Wasserstein Distances on Cartan-Hadamard Manifolds
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:15 pm\nDate: 8th January of 2024\nPlace : 3001 \n  \nClément BONET (CREST) – Sliced-Wasserstein Distances on Cartan-Hadamard Manifolds \n  \n  \nAbstract: \n  \nWhile many Machine Learning methods were developed or transposed on Riemannian manifolds to tackle data with known non Euclidean geometry\, Optimal Transport (OT) methods on such spaces have not received much attention. The main OT tool on these spaces is the Wasserstein distance which suffers from a heavy computational burden. On Euclidean spaces\, a popular alternative is the Sliced-Wasserstein distance\, which leverages a closed-form solution of the Wasserstein distance in one dimension\, but which is not readily available on manifolds. In this work\, we derive general constructions of Sliced-Wasserstein distances on Hadamard manifolds\, Riemannian manifolds with non-positive curvature\, which include among others hyperbolic spaces or the space of symmetric positive definite matrices. Additionally\, we derive non-parametric schemes to minimize these new distances by approximating their Wasserstein gradient flows. \n  \nOrganizers:\nCristina BUTUCEA (CREST)\, Anna KORBA (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST)\nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/clement-bonet-crest-sliced-wasserstein-distances-on-cartan-hadamard-manifolds/
CATEGORIES:Statistics
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240108T143000
DTEND;TZID=Europe/Helsinki:20240108T160000
DTSTAMP:20260712T071648
CREATED:20231122T152600Z
LAST-MODIFIED:20231122T152600Z
UID:16267-1704724200-1704729600@crest.science
SUMMARY:2023 IP Paris Department of Economics Nobel Prize in Economics Lecture
DESCRIPTION:
URL:https://crest.science/event/2023-ip-paris-department-of-economics-nobel-prize-in-economics-lecture/
LOCATION:Amphi 250\, ENSAE\, 5 avenue Henry Le Châtelier\, Palaiseau\, 91120\, France
CATEGORIES:Conferences and Workshops,Economics
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