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DTSTART:20260329T010000
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DTSTART:20261025T010000
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DTSTART;TZID=Europe/Helsinki:20260323T121500
DTEND;TZID=Europe/Helsinki:20260323T133000
DTSTAMP:20260827T162011
CREATED:20260316T152427Z
LAST-MODIFIED:20260316T152631Z
UID:18863-1774268100-1774272600@crest.science
SUMMARY:Gernot MULLER (Tuebingen University) "The Propagation of Tariff Shocks via Production Networks"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Macro seminar\nTime : 12h15 – 13h30 \nDate : 23th  March 2026 \nSalle 3001 \nGernot MULLER (Tuebingen University) “The Propagation of Tariff Shocks via Production Networks” \nAbstract: A tariff on final goods shifts expenditure toward domestically produced goods and therefore constitutes a positive demand shock. By contrast\, a tariff on intermediate goods raises production costs for domestic firms and thus constitutes a negative supply shock. The overall impact of import tariffs depends on the structure of the economy’s input–output network. While tariffs unambiguously raise inflation\, the persistence of inflationary effects depends on the network structure. We establish these results in a New Keynesian small open-economy model with an input–output network and provide supporting evidence based on sectoral time-series data\, showing that tariffs are contractionary on average. \n Organizer :  Olivier LOISEL \n
URL:https://crest.science/event/gernot-muller-tuebingen-university-the-propagation-of-tariff-shocks-via-production-networks/
CATEGORIES:Macroeconomics,Seminars
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DTSTART;TZID=Europe/Helsinki:20260323T140000
DTEND;TZID=Europe/Helsinki:20260323T153000
DTSTAMP:20260827T162011
CREATED:20260223T091740Z
LAST-MODIFIED:20260316T081350Z
UID:18819-1774274400-1774279800@crest.science
SUMMARY:Thomas BERRETT (University of Warwick) - Permutation two-sample testing under local differential privacy
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 23th March\nPlace: 3001 \n  \nThomas BERRETT (University of Warwick) – Permutation two-sample testing under local differential privacy \n  \n Abstract :  \nPersonal and sensitive data is now collected at larger scales than ever before. Growing concern from data subjects and regulatory bodies\, however\, has led to an increased demand for statistical procedures that do not compromise the privacy of the individuals whose data are collected and analysed. In this talk I will discuss recent work on two-sample testing under a local differential privacy constraint where a permutation procedure is used to calibrate the tests. While permutation testing is a classical resampling technique\, popular due to its ease of implementation and uniform Type I error control\, its use under local privacy constraints is complicated by the fact that access to the data is limited. In this work we design appropriate privacy mechanisms\, both interactive and non-interactive\, that allow for permutation tests. Our analysis shows that these lead to minimax optimal separation rates in both discrete and continuous settings\, with interactive procedures being significantly more powerful. This is recent joint work with Alexander Kent and Yi Yu (https://arxiv.org/abs/2505.24811). \n  \nOrganizers: \nAnna KORBA (CREST)\, Vincent DIVOL (CREST) \, Jaouad MOURTADA (CREST) \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/thomas-berrett-university-of-warwick-tba/
CATEGORIES:Seminars,Statistics
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