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Code and data files for "A Bayesian DSGE Approach to Modelling Cryptocurrency"

Author

Listed:
  • Stylianos Asimakopoulos

    (Brunel University)

  • Marco Lorusso

    (Newcastle University)

  • Francesco Ravazzolo

    (Libera Universita di Bolzano)

Programming Language

Matlab Dynare

Abstract

Code and data to replicate the results of the article.

Suggested Citation

  • Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2023. "Code and data files for "A Bayesian DSGE Approach to Modelling Cryptocurrency"," Computer Codes 21-87, Review of Economic Dynamics.
    • Handle: RePEc:red:ccodes:21-87
    as

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    File URL: https://red-files-public.s3.amazonaws.com/codes/21/21-87/readme.txt
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    File URL: https://red-files-public.s3.amazonaws.com/codes/21/21-87/Data_&_Code.zip
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    More about this item

    Keywords

    Matlab; Dynare;

    JEL classification:

    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    Statistics

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