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Spencer Yongwook Kwon

Personal Details

First Name:Spencer Yongwook
Middle Name:
Last Name:Kwon
Suffix:
RePEc Short-ID:pkw41
[This author has chosen not to make the email address public]

Affiliation

Department of Economics
Harvard University

Cambridge, Massachusetts (United States)
http://www.economics.harvard.edu/
RePEc:edi:deharus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Pedro Bordalo & John J. Conlon & Nicola Gennaioli & Spencer Yongwook Kwon & Andrei Shleifer, 2023. "How People Use Statistics," NBER Working Papers 31631, National Bureau of Economic Research, Inc.
    • Pedro Bordalo & John Conlon & Nicola Gennaioli & Spencer Kwon & Andrei Shleifer, 2023. "How People Use Statistics," Working Papers 699, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  2. Pedro Bordalo & John J. Conlon & Nicola Gennaioli & Spencer Yongwook Kwon & Andrei Shleifer, 2021. "Memory and Probability," NBER Working Papers 29273, National Bureau of Economic Research, Inc.
  3. Hassan Afrouzi & Spencer Yongwook Kwon & Augustin Landier & Yueran Ma & David Thesmar, 2020. "Overreaction and Working Memory," NBER Working Papers 27947, National Bureau of Economic Research, Inc.
  4. Pedro Bordalo & Nicola Gennaioli & Spencer Yongwook Kwon & Andrei Shleifer, 2018. "Diagnostic Bubbles," NBER Working Papers 25399, National Bureau of Economic Research, Inc.

Articles

  1. Bordalo, Pedro & Gennaioli, Nicola & Kwon, Spencer Yongwook & Shleifer, Andrei, 2021. "Diagnostic bubbles," Journal of Financial Economics, Elsevier, vol. 141(3), pages 1060-1077.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Pedro Bordalo & John J. Conlon & Nicola Gennaioli & Spencer Yongwook Kwon & Andrei Shleifer, 2023. "How People Use Statistics," NBER Working Papers 31631, National Bureau of Economic Research, Inc.
    • Pedro Bordalo & John Conlon & Nicola Gennaioli & Spencer Kwon & Andrei Shleifer, 2023. "How People Use Statistics," Working Papers 699, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.

    Cited by:

    1. Katherine B. Coffman & Scott Kostyshak & Perihan O. Saygin & Katie Coffman, 2024. "Choosing and Using Information in Evaluation Decisions," CESifo Working Paper Series 11024, CESifo.
    2. Peter Andre & Philipp Schirmer & Johannes Wohlfart, 2023. "Mental Models of the Stock Market," ECONtribute Discussion Papers Series 259, University of Bonn and University of Cologne, Germany.
    3. Ingar Haaland & Christopher Roth & Stefanie Stantcheva & Johannes Wohlfart, 2024. "Measuring What Is Top of Mind," CEBI working paper series 24-10, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    4. Peter Andre & Ingar Haaland & Christopher Roth & Mirko Wiederholt & Johannes Wohlfart, 2021. "Narratives about the Macroeconomy," ECONtribute Discussion Papers Series 127, University of Bonn and University of Cologne, Germany.
    5. Sebastian Link & Andreas Peichl & Christopher Roth & Johannes Wohlfart, 2023. "Attention to the Macroeconomy," ECONtribute Discussion Papers Series 256, University of Bonn and University of Cologne, Germany.
    6. Cappelen, Alexander & Haan, Thomas de & Tungodden, Bertil, 2022. "Fairness and limited information: Are people Bayesian meritocrats?," Discussion Paper Series in Economics 7/2022, Norwegian School of Economics, Department of Economics.
    7. Pedro Gonzalez-Fernandez, 2024. "Belief Bias Identification," Papers 2404.09297, arXiv.org, revised Nov 2024.

  2. Pedro Bordalo & John J. Conlon & Nicola Gennaioli & Spencer Yongwook Kwon & Andrei Shleifer, 2021. "Memory and Probability," NBER Working Papers 29273, National Bureau of Economic Research, Inc.

    Cited by:

    1. Pedro Bordalo & John J. Conlon & Nicola Gennaioli & Spencer Yongwook Kwon & Andrei Shleifer, 2023. "How People Use Statistics," NBER Working Papers 31631, National Bureau of Economic Research, Inc.
      • Pedro Bordalo & John Conlon & Nicola Gennaioli & Spencer Kwon & Andrei Shleifer, 2023. "How People Use Statistics," Working Papers 699, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Pierpaolo Battigalli & Nicolò Generoso, 2021. "Information Flows and Memory in Games," Working Papers 678, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    3. Jean-Paul L'Huillier & Sanjay R. Singh & Donghoon Yoo, 2021. "Incorporating Diagnostic Expectations into the New Keynesian Framework," Working Papers 339, University of California, Davis, Department of Economics.
    4. Matteo Bizzarri & Daniele d'Arienzo, 2023. "The social value of overreaction to information," CSEF Working Papers 690, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    5. Pedro Gonzalez-Fernandez, 2024. "Belief Bias Identification," Papers 2404.09297, arXiv.org, revised Nov 2024.
    6. Enke, Benjamin & Schwerter, Frederik & Zimmermann, Florian, 2024. "Associative memory, beliefs and market interactions," Journal of Financial Economics, Elsevier, vol. 157(C).
    7. Luca Braghieri, 2023. "Biased Decoding and the Foundations of Communication," CESifo Working Paper Series 10432, CESifo.
    8. Benson, Alan & Lepage, Louis-Pierre, 2023. "Learning to Discriminate on the Job," Working Paper Series 10/2023, Stockholm University, Swedish Institute for Social Research.

  3. Hassan Afrouzi & Spencer Yongwook Kwon & Augustin Landier & Yueran Ma & David Thesmar, 2020. "Overreaction and Working Memory," NBER Working Papers 27947, National Bureau of Economic Research, Inc.

    Cited by:

    1. Philippe Andrade & Erwan Gautier & Eric Mengus, 2021. "What Matters in Households' Inflation Expectations?," CESifo Working Paper Series 9005, CESifo.
    2. Rava Azeredo da Silveira & Yeji Sung & Michael Woodford, 2020. "Optimally Imprecise Memory and Biased Forecasts," Working Papers hal-03033626, HAL.
    3. Alistair Macaulay & James Moberly, 2022. "Heterogeneity in imperfect inflation expectations:theory and evidence from a novel survey," Economics Series Working Papers 970, University of Oxford, Department of Economics.
    4. Hassan Afrouzi & Choongryul Yang, 2021. "Dynamic Rational Inattention and the Phillips Curve," CESifo Working Paper Series 8840, CESifo.
    5. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    6. Oliver Pfauti, 2021. "Inflation -- who cares? Monetary Policy in Times of Low Attention," Papers 2105.05297, arXiv.org, revised Oct 2023.
    7. Neligh, Nathaniel, 2024. "Rational memory with decay," Journal of Economic Behavior & Organization, Elsevier, vol. 223(C), pages 120-145.
    8. Hagenhoff, Tim & Lustenhouwer, Joep, 2023. "The role of stickiness, extrapolation and past consensus forecasts in macroeconomic expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).

  4. Pedro Bordalo & Nicola Gennaioli & Spencer Yongwook Kwon & Andrei Shleifer, 2018. "Diagnostic Bubbles," NBER Working Papers 25399, National Bureau of Economic Research, Inc.

    Cited by:

    1. James Graham, 2022. "Boom and Bust: A Global History of Financial Bubbles," The Economic Record, The Economic Society of Australia, vol. 98(322), pages 324-326, September.

Articles

  1. Bordalo, Pedro & Gennaioli, Nicola & Kwon, Spencer Yongwook & Shleifer, Andrei, 2021. "Diagnostic bubbles," Journal of Financial Economics, Elsevier, vol. 141(3), pages 1060-1077.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EXP: Experimental Economics (2) 2020-11-09 2021-09-27. Author is listed
  2. NEP-HRM: Human Capital and Human Resource Management (1) 2020-11-09. Author is listed
  3. NEP-ISF: Islamic Finance (1) 2021-09-27. Author is listed
  4. NEP-MIC: Microeconomics (1) 2019-01-28. Author is listed
  5. NEP-NEU: Neuroeconomics (1) 2020-11-09. Author is listed
  6. NEP-UPT: Utility Models and Prospect Theory (1) 2021-09-27. Author is listed

Corrections

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