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:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20230101T000000
END:STANDARD
TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20231029T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20231113T080000
DTEND;TZID=UTC:20231123T170000
DTSTAMP:20260726T152936
CREATED:20231019T101825Z
LAST-MODIFIED:20231110T134923Z
UID:16119-1699862400-1700758800@crest.science
SUMMARY:Natural Language Processing\, Julien Boelaert (CERAPS\, Université de Lille)
DESCRIPTION:  \n\n\n\n  \n  \nSCHEDULE\n  \nMonday\n  \n13th November 2023 \n20th November 2023\n  \nFrom 13:00 to 16:15\n  \nRoom 2033\n\n\n  \nThursday\n  \n16th November 2023 \n23rd November 2023\n  \nFrom 13:00 to 16:15\n  \nRoom 2033\n\n\n\nAims and objectives\nThe aim of this course is to provide an introduction to the main contemporary methods for natural language processing\, and to illustrate them with recent uses of text as data in social sciences. \nNatural language processing has made giant steps during the last decade\, as illustrated in 2023 by the resounding popularity of chatGPT. In addition\, text corpora have become increasingly available for exploitation by social scientists\, be it through digitization of originally paper sources (eg. Parliamentary sessions transcripts\, printed newspapers\, books\, historical sources\, …) or audio sources (through automatic transcription)\, or through the advent of natively digital sources (from social media\, online newspapers\, …). \nThe course will start with the standard (aka pre-neural) methods of the late 20th century\, based on large document-feature matri-ces. We will then cover more recent developments: word embeddings (for improved NLP\, or studies about bias in text corpora)\, topic modeling with Latent Dirichlet Allocation (unsupervised detection of topics)\, and Transformer models (current state of the art\, BERT- and GPT-like models). Each session will comprise a theoretical lecture\, and applied examples on R or python. \n\n
URL:https://crest.science/event/natural-language-processing-julien-boelaert-ceraps-universite-de-lille/
LOCATION:2033
CATEGORIES:Doctoral Courses,Sociology
ORGANIZER;CN="Etienne%20Ollion":MAILTO:etienne.ollion@ensae.fr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20231113T121500
DTEND;TZID=Europe/Helsinki:20231113T133000
DTSTAMP:20260726T152936
CREATED:20231003T045928Z
LAST-MODIFIED:20231017T101722Z
UID:16035-1699877700-1699882200@crest.science
SUMMARY:SANTAMARIA Clara  (Sciences Po)  "Delayed Childbearing and Urban Revival"
DESCRIPTION:Macro seminar\nTime : 12h15 – 13h30 \nDate : 13 Novembre 2023 \nSalle 3001 \nClara SANTAMARIA (Sciences Po) “Delayed Childbearing and Urban Revival” \nAbstract: This paper highlights the role of delayed childbearing as an important driver of urban revival in U.S. cities. While downtown neighborhoods provide shorter commuting times and more consumption amenities\, limited housing space and schools’ worse quality considerably reduce the value of this location when children are born. As households postponed parenthood\, the life period in which individuals benefit the most from living downtown extended. Consequently\, demand for downtown locations increased\, contributing to urban revival. We first provide reduced-form evidence of the interaction between delayed childbearing and urban revival. We exploit exogenous variation in access to Assisted Reproductive Technology (ART) to obtain causal estimates of the impact of delayed parenthood. The higher availability of ART increased income downtown by 5.4% relative to the suburbs. We then estimate a spatial equilibrium model that incorporates a fertility timing decision and a within-city location choice. We calculate the counterfactual urban revival keeping the incentives to have children constant at its 1990 level. We explore the incentives coming from (i) taste for children\, (ii) downtown amenities\, and (iii) income child penalties. We find that the change in incentives to delay childbearing can generate a large share of the faster income growth downtown relative to the suburbs. \nSuzanne BELLUE (CREST) \n
URL:https://crest.science/event/santamaria-clara-sciences-po-t-b-a/
CATEGORIES:Macroeconomics,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20231113T161500
DTEND;TZID=Europe/Helsinki:20231113T173000
DTSTAMP:20260726T152936
CREATED:20231012T042722Z
LAST-MODIFIED:20231110T135141Z
UID:16061-1699892100-1699896600@crest.science
SUMMARY:Yinchu Zhu (Brandeis University) - "New Possibilities in Identification of Binary Choice Models with Fixed Effects"
DESCRIPTION:Paris Econometrics Seminar CREST – PSE – Sciences Po\nTime: 04:15 pm – 05:30 pm\nDate: 13th of  November\nZoom : \n  \nYinchu Zhu (Brandeis University) – New Possibilities in Identification of Binary Choice Models with Fixed Effects \nAbstract : \n  \nCoauthored with \n  \nOrganizers:\nElia Lapenta – CREST/ENSAE\nPhilipp Ketz – CNRS/PSE\nClément de Chaisemartin – Sciences Po \nSponsors:\nCREST \n
URL:https://crest.science/event/yinchu-zhu-brandeis-university-t-b-a/
CATEGORIES:Paris Econometrics Seminar,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
END:VCALENDAR