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Economic Science

Most read posts in 2023

Posted by e-axes on December 21, 2023

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In 2023, research and commentaries on central banks’ independence, balance sheets, and forecasting methodologies resonated with a significant segment of our readers. Beyond central banking, research on the realignment of global supply chains and the SVB collapse were the other subjects that captured the attention of the majority of our audience.
  1. The Changing and Growing Roles of Independent Central Banks Now Do Require a Reconsideration of Their Mandate
    Authors: Charles Goodhart, Rosa Lastra
    From: LSE, Queen Mary University of London
    (September 26, 2023)
  2. Silicon Valley Bank Blinders
    By: John Cochrane – Hoover Institution, Stanford University
    (March 14, 2023)
  3. The two-regime view of inflation
    Authors: Claudio Borio, Marco Lombardi, James Yetman, Egon Zakrajšek
    From: BIS

    (April 4, 2023)
  4. Central Bank Forecasting: A Survey
    Authors: Carola Conces Binder, Rodrigo Sekkel
    From: Haverford College, Bank of Canada
    (April 6, 2023)
  5. Central banks are incurring losses, but critics’ concerns are overblown
    By: Patrick Honohan – Peterson Institute for International Economics
    (January 24, 2023)
  6. Has monetary policy cared too much about a poor measure of r-star?
    Author: Ricardo Reis
    From: LSE
    (May 4, 2023)
  7. Mapping the realignment of global value chains
    Authors: Han Qiu, Hyun Song Shin, Leanne Si Ying Zhang
    From: BIS
    (October 4, 2023 )
  8. Global Supply Chains: The Looming “Great Reallocation”
    Authors: Laura Alfaro, Davin Chor
    From: Harvard Business School, Tuck School of Business at Dartmouth
    (October 4, 2023)
  9. ESG investing, versus those who would ban it
    By: Jeffrey Frankel – Harvard University
    (March 2, 2023 )
  10. Another Predictable Bank Failure
    By: Joseph Stiglitz – Columbia University
    (March 14, 2023)
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Economic Science

When AI Solves Economics’ Computational Barriers

Economic Science

Most Read Posts in 2025

Economic Science

New Computational Methods in Macroeconomic Modeling

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