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:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20191027T010000
END:STANDARD
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20191027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20190520T110000
DTEND;TZID=Europe/Helsinki:20190520T120000
DTSTAMP:20260822T132139
CREATED:20190515T155254Z
LAST-MODIFIED:20190515T155254Z
UID:12267-1558350000-1558353600@crest.science
SUMMARY:Michael Visser - "Are Jury Decisions Interrelated? Evidence from the Labor Court of Paris"
DESCRIPTION:CREST Microeconomics Seminar :  \n\nTime: 11:00 pm – 12:00pm\nDate: 20th May 2019\nPlace: Room 3105.\nMichael Visser – “Are Jury Decisions Interrelated? Evidence from the Labor Court of Paris” \nAbstract: \nThis paper analyzes what are the determinants of decisions taken by juries at labor courts. These juries decide how much money defendants (employers) should pay to plaintiffs (employees)\, based on the claims filed by the latter and the evidence revealed during court sessions. We have compiled a new data set from archives of the labor court of Paris (le Conseil de prud’hommes de Paris) covering the period 2013-2017. Applying models frequently used in the peer-effect literature\, we estimate the parameters via instrumental variables methods and maximization of a conditional likelihood function proposed by Lee (2007). Our (still preliminary) results indicate that only a few defendant-plaintiff characteristics have statistically significant impacts on the amount of compensation awarded to plaintiffs. Jury-specific effects\, however\, play an important role in explaining this variable. We also find that the (average) amount awarded to other plaintiffs\, in the same session and by the same jury\, has a strongly negative effect. Some possible explanations for this last finding are provided.\n\n\nOrganizers:\nAlexis Larousse (CREST)\nSponsors:\nCREST\nLunch registration:\nno registration needed\n\n  \n
URL:https://crest.science/event/michael-visser-are-jury-decisions-interrelated-evidence-from-the-labor-court-of-paris/
LOCATION:3105
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20190520T140000
DTEND;TZID=Europe/Paris:20190520T151500
DTSTAMP:20260822T132139
CREATED:20190403T085349Z
LAST-MODIFIED:20190403T085349Z
UID:12256-1558360800-1558365300@crest.science
SUMMARY:Yohann DE CASTRO (Ecole Ponts ParisTech) - "Exact False Negative Control using Stopping Times on the LAR's Path"
DESCRIPTION:\nThe Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:15 pm\nDate: 20 th of May 2019\nPlace: Room 3001.\nYohann DE CASTRO (Ecole Ponts ParisTech) – “Exact False Negative Control using Stopping Times on the LAR’s Path” \nAbstract: In this talk we introduce a new exact testing procedure in high dimensional linear regression framework using the outcomes of the standard Least Angle Regression (LAR) algorithm. Under the Gaussian noise assumption\, we give the exact law of the sequence of knots conditional on the sequence of variables entering the model (i.e.\, the ‘‘post-selection” law of the knots of the LAR). Based on this result\, we introduce a new exact testing procedure on the existence of false negatives. This testing procedure can be deployed after any support selection procedure that will produce an estimation of the support (i.e.\, the indexes of nonzero coefficients). The type I error of the test can be exactly controlled as long as the selection procedure follows some elementary hypotheses\, referred to as ‘‘admissible selection procedures”. These support selection procedures are such that the estimation of the support is given by the k first variables entering the model where the random variable k is a stopping time. \n \nOrganizers:\nCristina BUTUCEA\, Alexandre TSYBAKOV\, Julie JOSSE\, Eric MOULINES\, Mathieu ROSENBAUM\nSponsors:\nCREST-CMAP\n \n\n
URL:https://crest.science/event/yohann-de-castro-ecole-ponts-paristech/
CATEGORIES:Statistics
ATTACH;FMTTYPE=:
END:VEVENT
END:VCALENDAR