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Inflation Expectations and Misallocation of Resources: Evidence from Italy

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  • Ropele, Tiziano

    (Bank of Italy)

  • Gorodnichenko, Yuriy

    (University of California, Berkeley)

  • Coibion, Olivier

    (University of Texas at Austin)

Abstract

Using Italian data that includes both inflation forecasts of firms and external information on their balance sheets, we study the causal effect of changes in the dispersion of beliefs about future inflation on the misallocation of resources. We find that as disagreement increases, so does misallocation. In times of low inflation, the aggregate TFP loss of the dispersed expectations-induced misallocation is moderate, but we argue that it likely becomes quite significant in times of high inflation.

Suggested Citation

  • Ropele, Tiziano & Gorodnichenko, Yuriy & Coibion, Olivier, 2023. "Inflation Expectations and Misallocation of Resources: Evidence from Italy," IZA Discussion Papers 16106, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp16106
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    References listed on IDEAS

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    1. Guido Ascari & Tiziano Ropele, 2009. "Trend Inflation, Taylor Principle, and Indeterminacy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(8), pages 1557-1584, December.
    2. Yuriy Gorodnichenko & Debora Revoltella & Jan Svejnar & Christoph T. Weiss, 2018. "Resource Misallocation in European Firms: The Role of Constraints, Firm Characteristics and Managerial Decisions," NBER Working Papers 24444, National Bureau of Economic Research, Inc.
    3. Diego Restuccia & Richard Rogerson, 2017. "The Causes and Costs of Misallocation," Journal of Economic Perspectives, American Economic Association, vol. 31(3), pages 151-174, Summer.
    4. Olivier Coibion & Yuriy Gorodnichenko & Johannes Wieland, 2012. "The Optimal Inflation Rate in New Keynesian Models: Should Central Banks Raise Their Inflation Targets in Light of the Zero Lower Bound?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(4), pages 1371-1406.
    5. George-Marios Angeletos & Zhen Huo & Karthik A. Sastry, 2021. "Imperfect Macroeconomic Expectations: Evidence and Theory," NBER Macroeconomics Annual, University of Chicago Press, vol. 35(1), pages 1-86.
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    7. Olivier Coibion & Yuriy Gorodnichenko & Johannes Wieland, 2012. "The Optimal Inflation Rate in New Keynesian Models: Should Central Banks Raise Their Inflation Targets in Light of the Zero Lower Bound?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(4), pages 1371-1406.
    8. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
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    10. Jordi Galí, 2015. "Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework and Its Applications Second edition," Economics Books, Princeton University Press, edition 2, number 10495.
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    15. Sheremirov, Viacheslav, 2020. "Price dispersion and inflation: New facts and theoretical implications," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 59-70.
    16. Bottone, Marco & Tagliabracci, Alex & Zevi, Giordano, 2022. "Inflation expectations and the ECB’s perceived inflation objective: Novel evidence from firm-level data," Journal of Monetary Economics, Elsevier, vol. 129(S), pages 15-34.
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    Cited by:

    1. Ding Dong & Zheng Liu & Pengfei Wang & Min Wei, 2024. "Inflation Disagreement Weakens the Power of Monetary Policy," Working Paper Series 2024-27, Federal Reserve Bank of San Francisco.
    2. Masuda, Kazuto, 2024. "The Special Theory of Employment, Exchange Rate, and Money With the Focus on Inflation and Technological Progress," SocArXiv nxshd, Center for Open Science.

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    More about this item

    Keywords

    misallocation; inflation expectations;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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