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DTSTART;TZID=Europe/Helsinki:20230406T103000
DTEND;TZID=Europe/Helsinki:20230406T113000
DTSTAMP:20260711T073902
CREATED:20230330T054640Z
LAST-MODIFIED:20230330T054640Z
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SUMMARY:Guillaume CHEVILLON (ESSEC) "WHAT DOES IT TAKE TO CONTROL GLOBAL TEMPERATURES? PROSPECTIVE AND COUNTERFACTUAL CARBON ABATEMENT POLICIES IN A COINTEGRATED VECTOR AUTOREGRESSIVE MODEL"
DESCRIPTION:Finance & Financial Econometrics : \nTime: 10.30 am\nDate: 06th of April 2023\nRoom 3001 \nGuillaume CHEVILLON (ESSEC) “WHAT DOES IT TAKE TO CONTROL GLOBAL TEMPERATURES? PROSPECTIVE AND COUNTERFACTUAL CARBON ABATEMENT POLICIES IN A COINTEGRATED VECTOR AUTOREGRESSIVE MODEL” \nAbstract :This paper performs an empirical historical analysis of a Stochastic Integrated Model of Climate and the Economy cast into an integrated-cointegrated Vector Autoregressive Model and estimated over years A.D. 800-2001. Extending previous results on Control Theory in nonstationary systems\, we ask whether and quantify to what extent carbon abatement poli cies can effectively reduce global temperatures\, using atmospheric carbon concentrations as an intermediate policy target. Using an extended dataset predating the industrial revolution\, we also show how our econometric model for policy analysis can be used for counterfactual analyses. Our policy feasibility test shows that carbon abatement can have a significant long run impact and policies can render temperatures stationary around a chosen long run mean. Provisional results show that the counterfactual cost of carbon abatement for a retrospective policy aiming to keep global temperatures close to their 1900 historical level is about 40% of the observed 2010 level of world GDP\, a cost equivalent to reverting to levels of output historically observed in the early 1990s.\nJoint work : with Takamitsu Kurita (Kyoto Sangyo University)\n \n\nOrganizers:\n\nJean-Michel ZAKOIAN (CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/guillaume-chevillon-essec-what-does-it-take-to-control-global-temperatures-prospective-and-counterfactual-carbon-abatement-policies-in-a-cointegrated-vector-autoregressive-model/
CATEGORIES:Finance-Insurance,Financial Econometrics
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DTSTART;TZID=Europe/Helsinki:20230406T113000
DTEND;TZID=Europe/Helsinki:20230406T123000
DTSTAMP:20260711T073902
CREATED:20230330T054918Z
LAST-MODIFIED:20230405T063602Z
UID:14813-1680780600-1680784200@crest.science
SUMMARY:Mariia ARTEMOVA (VU Amsterdam) "An order-invariant score-driven dynamic factor model"
DESCRIPTION:Finance & Financial Econometrics: \nTime: 11.30 am\nDate: 06th of April 2023\nRoom 3001 \nMariia ARTEMOVA (VU Amsterdam) “An Order-Invariant Score-Driven Dynamic Factor Model” \nAbstract :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 the update of the time-varying parameter to be potentially non-linear and robust to outliers. We derive stochastic properties of the time series generated by the model\, such as stationarity and ergodicity\, and establish the invertibility of the filter. We prove that the identification of the factors and loadings is achieved by incorporating an orthogonality constraint on the loadings which is invariant to the order of the series in the panel. We propose to estimate the static and time-varying parameters jointly using a maximum likelihood estimation on the Stiefel manifolds and establish the asymptotic properties of the constrained estimator. In a series of Monte Carlo experiments\, we find evidence of appropriate finite sample properties of the estimator and resulting score filter for the time-varying parameters. We reveal the empirical usefulness of our factor model for constructing indexes of economic activity from a set of macroeconomic and financial variables during the period 1981–2022. Empirical application highlights the importance of the robust update for the time-varying parameters in the presence of a V-shaped recession. \nOrganizers:\nJean-Michel ZAKOIAN (CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/mariia-artemova-vu-amsterdam-an-order-invariant-score-driven-dynamic-factor-model/
CATEGORIES:Finance-Insurance,Financial Econometrics
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DTSTART;TZID=Europe/Helsinki:20230406T120000
DTEND;TZID=Europe/Helsinki:20230406T131500
DTSTAMP:20260711T073902
CREATED:20230330T101438Z
LAST-MODIFIED:20230405T080708Z
UID:14814-1680782400-1680786900@crest.science
SUMMARY:Roza MEULEMAN (Radboud de Nimègue University) - "The conversion of cultural capital into socioeconomic returns in the Netherlands"
DESCRIPTION:Sociology Seminar: Thursdays\nTime: 12:00 pm – 1:15 pm – \nDate: 6th of April 2023\nPlace: ZOOM \nRoza MEULEMAN (Radboud de Nimègue University) – “The conversion of cultural capital into socioeconomic returns in the Netherlands” \nAbstract:  \nMy talk will cover two studies on the conversion of cultural capital and social network resources into occupational returns in the Netherlands. In the first study\, we argue that cultural and economic network resources constitute an important – yet understudied – explanation for why an individuals’ cultural capital yields returns at the labor market. We aim to disentangle to what extent a person’s cultural capital is directly related to occupational attainment\, and/or is indirectly connected to occupational success via resourceful networks that help people in their occupational career. Moreover\, we test ideas on general versus field-specific conversion by examining to what extent individuals’ cultural capital is differently related to cultural versus economic occupational position\, and mediated differently by cultural versus economic network resources. In the second study\, we examine to what extent these cultural\, economic\, (and professional) network resources partly explain the differences in men’s and women’s wages (capital differences) – and whether these impact men’s and women’s wages differently (return differences)? Similar to the first study\, we examine field-specificity by testing whether possible gender differences in access and return vary between cultural\, economic\, and professional network resources. To answer our research questions\, we collected representative panel data in the Netherlands with information on individuals’ cultural capital\, offline core and extended social networks\, and occupational outcomes. \nOrganizers: Hadrien Le Mer\, Etienne Ollion\, Patrick Präg (CREST Sociology unit)\nSponsors: CREST \nLink to seminar: https://zoom.us/j/96081193256?pwd=ekM5ZEJHZ0VXdHdZbTdjTnZtT0VWdz09 \n
URL:https://crest.science/event/roza-meuleman-radboud-de-nimegue-university-the-conversion-of-cultural-capital-into-socioeconomic-returns-in-the-netherlands/
CATEGORIES:Sociology
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DTSTART;TZID=Europe/Helsinki:20230406T170000
DTEND;TZID=Europe/Helsinki:20230406T183000
DTSTAMP:20260711T073902
CREATED:20230116T111553Z
LAST-MODIFIED:20230405T055235Z
UID:14555-1680800400-1680805800@crest.science
SUMMARY:Friedolin MERHOUT (Université de Copenhague) - "Airsent. A Sentiment Dictionary for the Social Sciences On site and on-line"
DESCRIPTION:Sociology seminar – Thursdays\nTime: 5:00 pm – 6:30 pm \nDate: 6th of April 2023\nPlace: room 3105 + Zoom \nFriedolin Merhout (University of Copenhagen) – “Airsent. A Sentiment Dictionary for the Social Sciences On site and on-line”\nAbstract: \nThe growth and accessibility of textual data from online sources holds great promise for a variety of social scientific applications. At the same time\, the volume of these newly available data poses challenges to traditional social science methods and calls for different approaches. These quantitative or automated text analysis approaches range from long-standing techniques such as keyword counts to novel unsupervised methods for topic discovery. Among these techniques\, dictionary-based sentiment analysis is particularly suited for the study of social relations but existing dictionaries suffer from known limitations for these applications. This talk will outline a project combining online rating and review data from Airbnb with crowd-sourced sentiment evaluations to generate a sentiment dictionary specifically tailored to the study of social relations. \nOrganizers: Hadrien Le Mer\, Etienne Ollion\, Patrick Präg (CREST Sociology unit) \nSponsors: CREST \nLink to seminar: https://liu-se.zoom.us/j/68736427875 \n
URL:https://crest.science/event/friedolin-merhout-universite-de-copenhague/
CATEGORIES:Sociology
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