BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CREST - ECPv5.1.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CREST
X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
BEGIN:VTIMEZONE
TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20251026T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20250526T121500
DTEND;TZID=Europe/Helsinki:20250526T133000
DTSTAMP:20260710T173005
CREATED:20250321T102212Z
LAST-MODIFIED:20250520T054204Z
UID:17981-1748261700-1748266200@crest.science
SUMMARY:Julien ALBERTINI  (Université Lyon II) "Payroll Tax Reductions on Low Wages and Minimum Wage in France"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Macro seminar\nTime : 12h15 – 13h30 \nDate :26th  May 2025 \nSalle 3001 \nJulien ALBERTINI (Université Lyon II) “Payroll Tax Reductions on Low Wages and Minimum Wage in France” \nAbstract: Introduced in France in the 1990s to reduce the cost of low-skilled labor\, payroll tax reductions on low wages were later expanded and extended to higher wages. This study evaluates the impact of the current payroll tax schedule on employment\, fiscal surplus\, and welfare. We develop a life-cycle matching model in which workers are heterogeneous in terms of age\, education\, human capital\, family status\, hours worked and idiosyncratic productivity\, and where search effort\, hiring and separations are endogenous. Accounting for interactions with the socio-fiscal system\, we demonstrate that reducing payroll tax cuts for low wages would result in declines in both employment and fiscal surplus. Furthermore\, we show that increasing the minimum wage would significantly reduce employment and fiscal surplus\, with the magnitude of the effect depending on whether the payroll tax schedule and other socio-fiscal measures are indexed to the minimum wage. Lastly\, we identify the optimal payroll tax schedule\, revealing that employment\, fiscal surplus\, and welfare can all be improved by increasing payroll tax reductions for wages near the minimum wage while reducing them for wages exceeding twice the minimum wage.\n \nOrganizer : Franck Malherbet \n
URL:https://crest.science/event/julien-albertini-universite-lyon-ii-t-b-a/
CATEGORIES:Macroeconomics,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20250526T140000
DTEND;TZID=Europe/Helsinki:20250526T153000
DTSTAMP:20260710T173005
CREATED:20250502T131927Z
LAST-MODIFIED:20250520T065918Z
UID:18052-1748268000-1748273400@crest.science
SUMMARY:Emilie KAUFFMANN (CNRS- INRIA Lille) - Multi-objective bandits revisited
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 26th May\nPlace: 3001 \n  \nEmilie KAUFFMANN (CNRS- INRIA Lille) – Multi-objective bandits revisited \n Abstract:  \nIn multi-objective bandit models\, arms are multi-variate distributions. Their expectations are thus vectors in Rd and there is no obvious notion of “best arm” as some arms may be better for some objective but worse for others. In this talk\, I will present algorithms for the adaptive identification of the Pareto set of the arms means\, in a fixed-confidence setting. These algorithms adaptively sample the arms and also adaptively stop the data collection process so as to guarantee an error at most δ for their guess of the Pareto set. I will present a first algorithm based on confidence regions that achieves a near-optimal sample complexity bound featuring some appropriate notions of “sub-optimality gaps”. Then we will discuss asymptotically optimal algorithm\, i.e. algorithms whose sample complexity is matching a lower bound in the regime in which the error probability is small. \nThis talk is based on joint works with Cyrille Koné\, Laura Richert and Marc Jourdan. https://arxiv.org/abs/2307.00424 https://arxiv.org/abs/2411.04939  \n  \n  \nOrganizers: \nAnna KORBA (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST) \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/emilie-kauffmann-cnrs-inria-lille-tba/
CATEGORIES:Seminars,Statistics
ATTACH;FMTTYPE=:
END:VEVENT
END:VCALENDAR