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DTSTART;VALUE=DATE:20250220
DTEND;VALUE=DATE:20250222
DTSTAMP:20260710T092211
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UID:17648-1740009600-1740182399@crest.science
SUMMARY:Modelling and Forecasting in Central Banking: Methods and Developments
DESCRIPTION:\n\n\n\n\n\n\n\nEvent date: 20 February 2025\, 8:00am\n\n\n\n\n\n\n\n\nto 21 February 2025\, 5:00pm\n\n\n\n\n\n\n\n\n\n\nLocation: Future Africa Campus\, Pretoria\n\n\n\n\n\n\n\n\n\n\n\nWith recent events having brought the topic of modelling and forecasting at central banks in the spotlight\, ERSA\, in collaboration with the South African Reserve Bank\, is organising a two-day conference for academics\, policymakers\, central bankers and other experts to examine methods and developments in central bank modelling and forecasting. The event will serve as a platform to assess and validate the modelling and forecasting agendas employed by central banks\, bringing together researchers and practitioners to discuss advances in modelling. \nThe conference will be a combination of technical presentations and roundtable discussions between academics and policymakers. It will also include a keynote address by Michele Lenza\, Head of Section in the Monetary Policy Research Division of the European Central Bank. \nSouth African researchers are invited to submit papers related to the topic of interest for the organising panel to consider. We also invite researchers in Southern African Central Banks to submit their current research and modelling developments. \nTopics of Interest \nERSA invites submissions of economic research papers for the conference that offer insight into methods and developments for modelling and forecasting in central banking. The conference should be viewed as an opportunity to test and share ideas and receive feedback to strengthen the research. \nTopics to consider include: \n\nIdentifying monetary policy transmission\nIdentifying underlying long term trends\nImplications of agent heterogeneity for monetary policy\nEconomic and financial consequences of artificial intelligence\nInnovations in deep learning for macroeconomic modelling\nForecasting using large language models\nModelling innovations on the macroeconomic impact of nature and/or climate adaptation\nother relevant research\n\nKeynote Speaker \nMichele Lenza is the Head of Section in the Monetary Policy Research Division of the European Central Bank. He received a Ph.D. in Economics and Statistics from the Université Libre de Bruxelles and he is a Fellow of the Centre for Economic Policy Research (CEPR)\, the International Association for Applied Econometrics (IAAE) and the Euro Area Business Cycle Network. His research interests cover monetary economics\, business cycle analysis and macroeconometric methods. His research appeared in peer-reviewed journals\, such as Econometrica\, the Journal of the American Statistical Association\, the Journal of Econometrics\, The Review of Economics and Statistics\, the Journal of the European Economic Association and the Economic Journal\, among others.  \nOrganisers \nRomain Houssa (University of Namur\, ERSA)\nGiovanni Ricco (CREST – ´Ecole Polytechnique\, CEPR\, ERSA)\nNicola Viegi (University of Pretoria\, ERSA) \nPaper Submission Details \nFor those interested in presenting their research or policy analysis\, we invite you to submit a working paper. \nAuthors of successful papers will be notified by 15 January 2025. \nFor any further information or if you have any questions\, please email Claudine Tshabalala\, organiser at ERSA (claudine@econrsa.org) with the subject header “Modelling and Forecasting in Central Banking: Methods and Developments”. \n\n\n
URL:https://crest.science/event/modelling-and-forecasting-in-central-banking-methods-and-developments/
CATEGORIES:Conferences and Workshops,Economics
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