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X-WR-CALNAME:CREST
X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
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TZID:Europe/Helsinki
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DTSTART:20240331T010000
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DTSTART:20241027T010000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240118
DTEND;VALUE=DATE:20240120
DTSTAMP:20260710T223208
CREATED:20231129T141703Z
LAST-MODIFIED:20231129T141703Z
UID:16284-1705536000-1705708799@crest.science
SUMMARY:PhD Lectures 2023
DESCRIPTION:Xavier D’Haultfoeuille is invited to the annual series of PhD lectures\, co-organised ECORES\, Free University of Brussels and Brussels Catholic University.\nXavier D’Haultfoeuille –  Econometrics – \nDate: January 18 – 19\, 2024\nLocation: ULB\nProgram and informations: https://feb.kuleuven.be/research/economics/ces/phd/phd-lectures \n
URL:https://crest.science/event/phd-lectures-2023/
CATEGORIES:Conferences and Workshops,Economics
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240118
DTEND;VALUE=DATE:20240120
DTSTAMP:20260710T223208
CREATED:20231220T144250Z
LAST-MODIFIED:20231220T144250Z
UID:16370-1705536000-1705708799@crest.science
SUMMARY:ECORES PhD Lectures Series 2024
DESCRIPTION:Financed by FNRS & the Gaston Eyskens Chair\nXavier D’Haultfoeuille  (CREST-ENSAE) \nDifference-in-Differences for Simple and Complex Natural Experiments \n📅 January 18-19\, 2024 \n📌 ECARES\, Solvay Brussels School of Economics and Management\, ULB \nhttps://feb.kuleuven.be/research/economics/ces/phd/phd-lectures \n
URL:https://crest.science/event/ecores-phd-lectures-series-2024/
CATEGORIES:Conferences and Workshops,Economics
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240118
DTEND;VALUE=DATE:20240120
DTSTAMP:20260710T223208
CREATED:20240116T153259Z
LAST-MODIFIED:20240116T153259Z
UID:16472-1705536000-1705708799@crest.science
SUMMARY:ECORES PhD lectures 2024
DESCRIPTION:“Difference-in-Differences for Simple and Complex Natural Experiments” \nBy Xavier D’Haultfoeuille (CREST-ENSAE) \n18-19 January 2024 \nAt ECARES\, Solvay Brussels School of Economics and Management \n
URL:https://feb.kuleuven.be/research/economics/ces/phd/phd-lectures#new_tab
CATEGORIES:Conferences and Workshops,Economics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240118T110000
DTEND;TZID=Europe/Helsinki:20240118T123000
DTSTAMP:20260710T223208
CREATED:20240112T170437Z
LAST-MODIFIED:20241104T113922Z
UID:16464-1705575600-1705581000@crest.science
SUMMARY:Ruixun Zhang (Peking University)"A Quantitative Approach to Optimal Impact Portfolios"
DESCRIPTION:Quantitative Sustainable Economics and Finance\nTime: 11.00 am\nDate: 18th of January  2023\nRoom 2036 \nRuixun Zhang (Peking University)”A Quantitative Approach to Optimal Impact Portfolios” \nAbstract : We develop a mathematical framework for constructing optimal impact portfolios and quantifying their financial performance by characterizing the returns of impact-ranked assets using induced order statistics and copulas. The distribution of induced order statistics can be represented by a mixture of order statistics and uniformly distributed random variables\, where the mixture function is determined by the dependence structure between residual returns and impact factors—characterized by copulas—and the marginal distribution of residual returns. This representation theorem allows us to explicitly and efficiently compute optimal portfolio weights under any copula. This framework provides a recipe for constructing and quantifying the performance of optimal impact portfolios with arbitrary dependence structures and return distributions. \nOrganizers:  \nPeter TANKOV (CREST) – Olivier David ZERBIB (CREST) \n  \nSponsors:\nCREST \n
URL:https://crest.science/event/ruixun-zhang-peking-universitya-quantitative-approach-to-optimal-impact-portfolios/
CATEGORIES:Finance-Insurance,Quantitative Sustainable Economics and Finance,Seminars
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20240118T121500
DTEND;TZID=Europe/Helsinki:20240118T133000
DTSTAMP:20260710T223208
CREATED:20240104T091242Z
LAST-MODIFIED:20240104T093144Z
UID:16405-1705580100-1705584600@crest.science
SUMMARY:Andrea Salvati (UCL) "Teacher Instruction\, Classroom Composition\, and Student Achievement"
DESCRIPTION:Applied  Seminar \nTime: 12:15 pm – 13:30 pm\nDate: 18th of January\nRoom : 3001 \n  \nAndrea Salvati (UCL) “Teacher Instruction\, Classroom Composition\, and Student Achievement” \nAbstract : This paper explores teachers’ instructional decisions and their implications for the distribution of student achievement. Canonical models of student performance often assume that teacher effectiveness is independent of the classroom environment. In practice\, however\, teachers can endogenously adapt instruction based on the composition of the classroom. This can have impli- cations for the design of education policies whose impact is likely mediated by teachers’ behavior. I exploit unique data from US elementary schools with rich information on teacher instruction to develop and estimate an equilibrium model of endogenous teacher instructional choices\, student effort\, and student achievement. Teachers are heterogeneous in their teaching ability and choose instructional effort and the allocation of class time across topics. Students vary by initial ability and choose study effort. Student achievement depends on both teacher and student inputs. The model specification allows me to assess whether teachers value unequally the achievement of stu- dents with different levels of ability. I find that teachers place a higher value on the achievement of students at the bottom of the ability distribution. I then perform a counterfactual analysis where I reallocate students to classrooms based on prior test score performance (ability tracking) and teachers to classrooms based on teaching ability (assortative matching). Results show that track- ing has heterogeneous effects on students with different levels of ability\, and that the distribution of these impacts depends on how teachers endogenously adjust their instructional choices to the composition of the classroom. Moreover\, the combination of tracking with assigning high-ability teachers to low-ability students would benefit students both at the top and at the bottom of the ability distribution. High-ability students would benefit from spillovers from high-ability peers\, while low-ability students would gain from the higher quality and better tailored instruction pro- vided by high-ability teachers. \nOrganizer: Clément MALGOUYRES \n
URL:https://crest.science/event/andrea-salvati-ucl-teacher-instruction-classroom-composition-and-student-achievement/
CATEGORIES:Applied Seminar,Seminars
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