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Code and data files for "The Role of Dispersed Information in Inflation and Inflation Expectations"

Author

Listed:
  • Zhao Han

    (College of William and Mary)

  • Xiaohan Ma

    (Texas Tech University)

  • Ruoyun Mao

    (Grinnell University)

Programming Language

Matlab Stata

Abstract

Code and data to replicate the results of the article.

Suggested Citation

  • Zhao Han & Xiaohan Ma & Ruoyun Mao, 2022. "Code and data files for "The Role of Dispersed Information in Inflation and Inflation Expectations"," Computer Codes 20-423, Review of Economic Dynamics.
    • Handle: RePEc:red:ccodes:20-423
    as

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    More about this item

    Keywords

    Matlab; Stata;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    Statistics

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