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10:30 am

Guillaume CHEVILLON (ESSEC) “WHAT DOES IT TAKE TO CONTROL GLOBAL TEMPERATURES? PROSPECTIVE AND COUNTERFACTUAL CARBON ABATEMENT POLICIES IN A COINTEGRATED VECTOR AUTOREGRESSIVE MODEL”

April 6, 2023 @ 10:30 am - 11:30 am

Finance & Financial Econometrics :  Time: 10.30 am Date: 06th of April 2023 Room 3001 Guillaume CHEVILLON (ESSEC) "WHAT DOES IT TAKE TO CONTROL GLOBAL TEMPERATURES? PROSPECTIVE AND COUNTERFACTUAL CARBON ABATEMENT POLICIES IN A COINTEGRATED VECTOR AUTOREGRESSIVE MODEL" Abstract :This paper performs an empirical historical analysis of a Stochastic Integrated Model of Climate and the […]

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11:30 am

Mariia ARTEMOVA (VU Amsterdam) “An order-invariant score-driven dynamic factor model”

April 6, 2023 @ 11:30 am - 12:30 pm

Finance & Financial Econometrics:  Time: 11.30 am Date: 06th of April 2023 Room 3001 Mariia ARTEMOVA (VU Amsterdam) "An Order-Invariant Score-Driven Dynamic Factor Model" Abstract :This paper introduces a novel score-driven dynamic factor model designed for filtering cross-sectional co-movements in panels of time series. The model is formulated based on an elliptical distribution, thus allowing […]

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12:00 pm

Roza MEULEMAN (Radboud de Nimègue University) – “The conversion of cultural capital into socioeconomic returns in the Netherlands”

April 6, 2023 @ 12:00 pm - 1:15 pm

Sociology Seminar: Thursdays Time: 12:00 pm - 1:15 pm - Date: 6th of April 2023 Place: ZOOM Roza MEULEMAN (Radboud de Nimègue University) - "The conversion of cultural capital into socioeconomic returns in the Netherlands" Abstract:  My talk will cover two studies on the conversion of cultural capital and social network resources into occupational returns […]

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5:00 pm

Friedolin MERHOUT (Université de Copenhague) – “Airsent. A Sentiment Dictionary for the Social Sciences On site and on-line”

April 6, 2023 @ 5:00 pm - 6:30 pm

Sociology seminar - Thursdays Time: 5:00 pm - 6:30 pm  Date: 6th of April 2023 Place: room 3105 + Zoom Friedolin Merhout (University of Copenhagen) - "Airsent. A Sentiment Dictionary for the Social Sciences On site and on-line" Abstract: The growth and accessibility of textual data from online sources holds great promise for a variety […]

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