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X-WR-CALDESC:Events for CREST
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TZID:Europe/Helsinki
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TZOFFSETFROM:+0200
TZOFFSETTO:+0300
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DTSTART:20250330T010000
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DTSTART;VALUE=DATE:20250407
DTEND;VALUE=DATE:20250408
DTSTAMP:20260710T144411
CREATED:20250106T140719Z
LAST-MODIFIED:20250106T140719Z
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SUMMARY:Alessandra Luati (Imperial College London): "Inference in Time-Varying Parameter Models"
DESCRIPTION:Alessandra Luati (Imperial College London): “Inference in Time-Varying Parameter Models \n31/03/2025 – 03/04/2025 – 07/04/2025 – 10/04/2025 \nReferent: Christian Francq \n
URL:https://crest.science/event/alessandra-luati-imperial-college-london-inference-in-time-varying-parameter-models-4/
CATEGORIES:Doctoral Courses,Finance
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DTSTART;TZID=Europe/Helsinki:20250407T121500
DTEND;TZID=Europe/Helsinki:20250407T133000
DTSTAMP:20260710T144411
CREATED:20250321T095930Z
LAST-MODIFIED:20250331T124304Z
UID:17977-1744028100-1744032600@crest.science
SUMMARY:Guido ASCARI (University of Pavia) "Great Layoff\, Great Retirement and Post-pandemic Inflation"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Macro seminar\nTime : 12h15 – 13h30 \nDate :07th  April 2025 \nSalle 3001 \nGuido ASCARI (University of Pavia) “Great Layoff\, Great Retirement and Post-pandemic Inflation” \nThe Covid-19 shock caused a dramatic spike in the number of retirees — a phenomenon dubbed the “Great Retirement” — and a prolonged contraction in the labor force. This paper investigates the impact of the Great Retirement on the post-pandemic surge of inflation\, via the labor market. First\, retirement is generally countercyclical\, and the peculiarity of the pandemic shock was just in its size: the “Great Layoff” in March and April 2020 triggered the Great Retirement. Hence\, a transitory labor demand shock generated a persistent labor supply shock. Second\, counties more exposed to the Great Layoff exhibit a relatively higher increase in wages. Finally\, an estimated model with endogenous labor market participation quantitatively assesses the overall contribution of the Great Retirement to inflation from 2020:Q1 up to 2023:Q2 to be roughly equal to 3.7 percentage (cumulative) points. \nJoint work : Jakob Grazzini (University of Pavia ) – Domenico Massaro (University of Milan) \n  \nOrganizer : Olivier LOISEL \n
URL:https://crest.science/event/guido-ascari-university-of-pavia-t-b-a/
CATEGORIES:Macroeconomics,Seminars
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DTSTART;TZID=Europe/Helsinki:20250407T160000
DTEND;TZID=Europe/Helsinki:20250407T173000
DTSTAMP:20260710T144411
CREATED:20250401T081830Z
LAST-MODIFIED:20250403T142503Z
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SUMMARY:Kirill EVDOKIMOV (University Pompeu Fabra Barcelona) - "Nonparametric Identification and Estimation with Non-Classical Errors-in-Variables" (joint with Andrei Zeleneev)
DESCRIPTION:PSE Seminar : \nTime: 16:00 pm – 17:30 pm\nDate: 7th of April\nRoom : 3001 \n  \nKirill EVDOKIMOV (University Pompeu Fabra Barcelona) – “Nonparametric Identification and Estimation with Non-Classical Errors-in-Variables” (joint with Andrei Zeleneev) \n  \nAbstract : \nThis paper considers nonparametric identification and estimation of the regression function when a covariate is mismeasured. The measurement error need not be classical. Employing the small measurement error approximation\, we establish nonparametric identification under weak and easy-to-interpret conditions on the instrumental variable. The paper also provides nonparametric estimators of the regression function and derives their rates of convergence. \n  \n  \nOrganizer :\nElia LAPENTA (Pôle économie du CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/https-www-kirillevdokimov-com/
CATEGORIES:Paris Econometrics Seminar,Seminars
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