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X-WR-CALDESC:Events for CREST
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DTSTART:20220327T010000
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DTSTART;TZID=Europe/Helsinki:20221003T121500
DTEND;TZID=Europe/Helsinki:20221003T133000
DTSTAMP:20260726T192955
CREATED:20220805T112846Z
LAST-MODIFIED:20220926T073329Z
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SUMMARY:Ruben DURANTE (UPF ) "The Impact of Online Competition on Local Newspapers: Evidence from the Introduction of Craigslist"
DESCRIPTION:The Macroeconomics Seminar:\nTime: 12:15 pm – 13:30 pm\nDate: 03th of October 2022 \nRoom 3001 \nRuben DURANTE (UPF ) “The Impact of Online Competition on Local Newspapers: Evidence from the Introduction of Craigslist” \nAbstract : How does competition from online platforms affect the organization\, performance\, and editorial choices of newspapers? And what are the implications of these changes for the  information voters are exposed to and for their political choices? We study these questions using the staggered introduction of Craigslist – the world’s largest online platform for classified advertising – across US counties between 1995 and 2009. This setting allows us to separate the effect of competition for classified advertising from other changes brought about by the Internet\, and to compare newspapers that relied more or less heavily on classified ads ex ante. We find that\, following the entry of Craigslist\, local papers experienced a significant decline in the number of newsroom and management staff. Cuts in editorial staff disproportionately affected editors covering politics. These organizational changes led to a reduction in news coverage of politics and resulted in a decline in newspaper readership\, which was not compensated by increased news consumption online or in other media. Finally\, we document that this reduced exposure to political news coverage was associated with more party-line voting and increased ideological polarization in voters’ choices. \nJoint work : Milena Djourelova\, and Gregory Martin \nOrganizers:\nAlessandro RIBONI (CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/ruben-durante-upf-t-b-a/
CATEGORIES:Macroeconomics
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DTSTART;TZID=Europe/Helsinki:20221003T140000
DTEND;TZID=Europe/Helsinki:20221003T150000
DTSTAMP:20260726T192955
CREATED:20220926T073757Z
LAST-MODIFIED:20220926T074353Z
UID:14094-1664805600-1664809200@crest.science
SUMMARY:Shayn MUKHERJEE (University of Leipzig) "Modeling Shapes and Fields"
DESCRIPTION:Statistical Seminar: Every Monday.\nTime: 2:00 pm\nDate: 03 of October 2022\nPlace: Room 3001 \nShayn MUKHERJEE (University of Leipzig) “Modeling Shapes and Fields” \nAbstract: We will consider modeling shapes and fields via topological and lifted-topological transforms. Specifically\, we show how the Euler Characteristic Transform and the Lifted Euler Characteristic Transform can be used in practice for statistical analysis of shape and field data. The Lifted Euler Characteristic is an alternative to the. Euler calculus developed by Ghrist and Baryshnikov for real valued functions. We also state a moduli space of shapes for which we can provide a complexity metric for the shapes. We also provide a sheaf theoretic construction of shape space that does not require diffeomorphisms or correspondence. A direct result of this sheaf theoretic construction is that in three dimensions for meshes\, 0-dimensional homology is enough to characterize the shape. We will also discuss Gaussian processes on fiber bundles and applications to evolutionary questions about shapes. \n  \nOrganizers:\nCristina BUTUCEA (CREST)\, Alexandre TSYBAKOV (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST)\nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/shayn-mukherjee-university-of-leipzig-modeling-shapes-and-fields/
CATEGORIES:Statistics
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