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PRODID:-//Department of Economics at Columbia University - ECPv4.6.23//NONSGML v1.0//EN
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METHOD:PUBLISH
X-WR-CALNAME:Department of Economics at Columbia University
X-ORIGINAL-URL:https://econ.columbia.edu
X-WR-CALDESC:Events for Department of Economics at Columbia University
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210325T110000
DTEND;TZID=America/New_York:20210325T123000
DTSTAMP:20260418T084449
CREATED:20210308T170047Z
LAST-MODIFIED:20210330T165816Z
UID:24760-1616670000-1616675400@econ.columbia.edu
SUMMARY:Nowcasting Inflation
DESCRIPTION:\n\n\n\n\n \n\nVenue and Time:\nThis event will take place as a Zoom webinar on Thursday\, March 25th from 11:00AM to 12:30PM (EST). Registration is required. \nNowcasting Inflation is co-sponsored by Columbia University’s Program for Economic Research and Capital Fund Management (CFM) as part of the CFM-PER Alternative Data Initiative. \n\n\n\nThis event was livestreamed via the Economics Department’s YouTube channel.   A direct link to our event video can be found here. Closed captions and a transcript are available. \n\n\n\nAbout:\nTrillions of dollars of stimulus by both monetary and fiscal authorities are leading to renewed concerns of inflation.  The goal of this event is to explore the use of big data to generate high-frequency inflation forecasts.  This panel is part of a series of events on the economic and financial applications of alternative data sponsored by Capital Fund Management (CFM) and Program for Economic Research (PER) at Columbia University’s Department of Economics.  The panel will feature a talk by Alberto F. Cavallo\, Edgerley Family Associate Professor of Business Administration at the Harvard Business School\, and one of the preeminent researchers on this topic.  \n\nFeaturing: \nAlberto F. Cavallo\nEdgerley Family Associate Professor of Business Administration\nHarvard Business School\n“Real-Time Inflation Measurement” \n\nYves Lemperiere\nHead of Alpha Predictor Research\nCapital Fund Management (CFM) \n\n\n\n\n  \n\nAdam Rej\nHead of Macro Research\nCapital Fund Management (CFM) \n\n  \n \n\n\nJosé A. Scheinkman\nCharles and Lynn Zhang Professor of Economics\nColumbia University \n  \n \n\n\nMichael Woodford\nJohn Bates Clark Professor of Political Economy\nColumbia University \n  \nModerator: \n\n\n\nHarrison Hong\nJohn R. Eckel\, Jr. Professor of Financial Economics\nExecutive Director\, Program for Economic Research\nColumbia University \n\n\n\n  \n  \n\n\n\nDownload the Event Program \n\nRegistration: \n\n\nThis event is open to the public. Registration is required. \nLivestream and Accessibility:\nA recording of Nowcasting Inflation will be made available via the Columbia Economics YouTube channel. This recording includes closed captioning. Closed captions and a transcript are available. \n\nYou may watch our livestream via the Department’s YouTube Channel. \n\nCode of Conduct:\nBy attending\, all conference participants agree to abide by the event’s Code of Conduct. \nVideo and Photography Policy:\nPortions of this conference will be live-streamed and all sessions will be video/audio taped. By registering\, your attendance at or in participation in this conference constitutes your consent to the use and distribution by Columbia University of the attendee’s image or voice for informational live stream\, publicity\, promotional and/or reporting purposes in print or electronic communications media. Video recording by participants and other attendees during any portion of the conference is not allowed without special prior written permission. Photographs of copyrighted PowerPoint or other slides are for personal use only and are not to be reproduced or distributed. Do not photograph any such images that are labeled as confidential and/or proprietary. \nThis conference is co-sponsored by Columbia University’s Program for Economic Research (PER) and Capital Fund Management (CFM). \nPlease direct all questions to econ-per@columbia.edu. \n\n\n\n\n\n\n\n\n\n\n
URL:https://econ.columbia.edu/event/nowcasting-inflation/
LOCATION:Zoom Conference\, NY\, United States
CATEGORIES:PER
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