Calendar

Events Calendar

Preceding Year
2021
Following Year
January, 2021

  • Yongbo Sim, Rutgers University - Empirical Microeconomics

    "The Spillover Effects of OxyContin’s Introduction on Crime in the U.S."

    02:00pm - 03:00pm | Virtual - ZOOM | Coordinator: Jacob Bastian

February, 2021
March, 2021

  • Masato Shizume, Waseda University, Japan - Money, History and Finance

    "Modern Banking Reforms and Financial Activities of Indigenous Merchants: A Case from Japan in the Late 19th Century"

    02:30pm - 04:00pm | Virtual - ZOOM | Coordinator: Michael D. Bordo

  • Morris Davis, Rutgers University Business School -  Macroeconomic Theory

    "The Work at Home Technology Boon and Its Consequences"
    (with A. Ghent)

    03:00pm - 04:00pm | Virtual - ZOOM - Link | Coordinator: Roberto Chang and Carlos Esquivel Alvarez

  • Chris Cotter, Oberlin College - Money, History and Finance

    "Off the Rails: The Real Effects of Railroad Bond Defaults Following the Panic of 1873"

    02:30pm - 04:00pm | Virtual - ZOOM | Coordinator: Michael D. Bordo

  • Vivian Yue, Emory University -  Macroeconomic Theory

    "Sovereign Risk and Financial Risk"

    03:00pm - 04:00pm | Virtual - ZOOM Link | Coordinator: Roberto Chang and Carlos Esquivel Alvarez

  • Matias Cattaneo, Princeton University -  Econometrics

    04:15pm - 05:45pm | Zoom | Coordinator: Yuan Liao

  • Conrad Miller, University of California - Berkeley - Empirical Microeconomics

    "Employer Size, Referral Hiring, and Racial Inequality: Evidence from Brazil".

    02:00pm - 03:30pm | Virtual - ZOOM | Coordinator: Jacob Bastian

  • Anders Ogren, Uppsala University, Sweden - Money, History and Finance

    Paper: "The Highs and the Lows: Bank Failures in Sweden through Inflation and Deflation, 1913-1927" by Sean Kenny, Anders Ogren, and Liang Zhao

    02:30pm - 04:00pm | Virtual - ZOOM | Coordinator: Michael D. Bordo

  • Jim Ziliak, University of Kentucky - Empirical Microeconomics

    Title: "Selection, Time, and the Profile of Life Cycle Earnings across Cohorts" by Richard Blundell, Higo Lopez Lopez, and James P. Ziliak

    02:00pm - 03:30pm | Virtual - ZOOM | Coordinator: Jacob Bastian

April, 2021

  • Marco Del Angelo, California State University - Los Angeles - Money, History and Finance

    02:30pm - 04:00pm | Virtual - ZOOM | Coordinator: Michael D. Bordo

  • Tim Armstrong, University of Southern California -  Econometrics

    04:30pm - 06:00pm | Virtual - ZOOM | Coordinator: Roger Klein

  • Steve Billings, University of Colorado - Empirical Microeconomics

    02:00pm - 03:30pm | Virtual - ZOOM | Coordinator: Jacob Bastian

  • Riu Esteves, Graduate Institute Geneva - Money, History and Finance

    02:30pm - 04:00pm | Virtual - ZOOM | Coordinator: Michael D. Bordo

  • Andy Neumeyer, Universidad Torcuato Di Tella -  Macroeconomic Theory

    "Financial Inclusion and the Macroeconomics of Pandemics in Small Open Economies" (with M. Gonzalez-Rozada, C. Hevia, M. Macera)

    03:00pm - 04:00pm | Virtual - ZOOM - Link | Coordinator: Roberto Chang and Carlos Esquivel Alvarez

  • Lee E. Ohanian, University of California - Los Angeles -  Macroeconomic Theory , Money, History and Finance

    *Note: (joint with Money, History & Finance and Macroeconomic Theory Workshops)

    02:30pm - 04:00pm | Virtual - ZOOM | Coordinator: MIchael D. Bordo

  • Matthew Thirkettle, Rice University -  Econometrics

    "Identification and Estimation of Network Statistics with Missing Link Data"

    Abstract

    I obtain informative bounds on network statistics in a partially observed network whose formation I explicitly model. Partially observed networks are commonplace due to, for example, partial sampling or incomplete responses in surveys. Network statistics (e.g., centrality measures) are not point identified when the network is partially observed. Worst-case bounds on network statistics can be obtained by letting all missing links take values zero and one. I dramatically improve on the worst-case bounds by specifying a structural model for network formation. An important feature of the model is that I allow for positive externalities in the network-formation process. The networkformation model and network statistics are set identified due to multiplicity of equilibria. I provide a computationally tractable outer approximation of the joint identified region for preferences determining network-formation processes and network statistics. In a simulation study on Katz-Bonacich centrality, I find that worst-case bounds that do not use the network formation model are 44 times wider than the bounds I obtain from my procedure.

    04:15pm - 05:45pm | Virtual - ZOOM Link | Coordinator: Roger Klein

  • Marianne Bitler, University of California - Davis - Empirical Microeconomics

    02:00pm - 03:30pm | Virtual - ZOOM | Coordinator: Jacob Bastian

  • Sebastian Alvarez, University of Oxford - Money, History and Finance

    02:30pm - 04:00pm | Virtual - ZOOM | Coordinator: Michael D. Bordo

  • Ethan Ilzetzki, London School of Economics -  Macroeconomic Theory

    "Government Purchases and Plant Level Productivity"

    03:00pm - 04:00pm | Virtual - ZOOM Link | Coordinator: Roberto Chang and Carlos Esquivel Alvarez

  • Bob Sherman, California Institute of Technology -  Econometrics

    04:30pm - 06:00pm | Virtual - ZOOM | Coordinator: Roger Klein

May, 2021

News & Events

Upcoming Events

Thu Apr 22 @ 4:15PM - 05:45PM
Econometrics
Matthew Thirkettle, Rice University
Fri Apr 23 @ 2:00PM - 03:30PM
Empirical Microeconomics
Marianne Bitler, University of California - Davis
Mon Apr 26 @ 2:30PM - 04:00PM
Money, History and Finance
Sebastian Alvarez, University of Oxford
Tue Apr 27 @ 3:00PM - 04:00PM
Macroeconomic Theory
Ethan Ilzetzki, London School of Economics
Thu Apr 29 @ 4:30PM - 06:00PM
Econometrics
Bob Sherman, California Institute of Technology
Mon May 03 @ 2:30PM - 04:00PM
Money, History and Finance
Sebastian Edwards - University of California - Los Angeles
Mon May 10 @ 2:30PM - 04:00PM
Macroeconomic Theory , Money, History and Finance
Eric Sims, University of Notre Dame
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