SI 2019 Macroeconomics Within and Across Borders
Mark A. Aguiar, Patrick J. Kehoe, and Mark L.J. Wright, Organizers
July 15, 2019
Skyline Rooms
Royal Sonesta Hotel, Edwin H. Land Blvd., Cambridge, MA
Summer Institute 2019 master schedule
| Monday, July 15 | ||||
| 8:30 am | Coffee and Pastries | |||
| 9:00 am |
Juan Morelli, Federal Reserve Board Pablo Ottonello, University of Maryland and NBER Diego Perez, New York University and NBER Global Banks and Systemic Debt Crises
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| 10:00 am | Break | |||
| 10:15 am |
Anmol Bhandari, University of Minnesota and NBER David Evans, University of Oregon Mikhail Golosov, University of Chicago and NBER Thomas J. Sargent, New York University and NBER The Optimal Maturity of Government Debt
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| 11:15 am | Break | |||
| 11:30 am |
Jennifer La'O, Columbia University and NBER Alireza Tahbaz-Salehi, Northwestern University Optimal Monetary Policy in Production Networks
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| 12:30 pm | Lunch | |||
| 1:30 pm |
Cristina Arellano, Federal Reserve Bank of Minneapolis Yan Bai, University of Rochester and NBER Gabriel P. Mihalache, The Ohio State University Monetary Policy and Sovereign Risk in Emerging Markets
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| 2:30 pm | Break | |||
| 2:40 pm |
Patrick J. Kehoe, Stanford University and NBER Pierlauro Lopez, Federal Reserve Bank of Cleveland Virgiliu Midrigan, New York University and NBER Elena Pastorino, Stanford University and NBER Asset Prices and Employment Fluctuations
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| 3:40 pm | Break | |||
| 3:50 pm |
Chang-Tai Hsieh, University of Chicago and NBER Peter J. Klenow, Stanford University and NBER Ishan Nath, Federal Reserve Bank of San Francisco A Global View of Creative Destruction
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| 4:50 pm | Break | |||
| 5:00 pm |
David W. Berger, Duke University and NBER Luigi Bocola, Stanford University and NBER Alessandro Dovis, University of Pennsylvania and NBER Imperfect Risk-Sharing and the Business Cycle
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| 6:00 pm |
Adjourn |
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Suggestions on Format Introduction: Please keep these to 5 minutes. And the audience should refrain from essentially all questions. Clarifying Questions: Welcome at all times. If you do not understand something, it is highly likely that other people do not as well, so please ask. Deeper Questions: These typically have much higher value added when brought up after the main results have been given, so that the audience understands the framework the author is using and the author has narrowed down the question to a precise one. Anticipatory Questions: Questions such as ``Will this feature be important’’ or ``Are you going to look at x’’ are typically very low value added. It is much better to let the author put up the results and then ask such questions. |
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