Paralyzed by Fear: Rigid and Discrete Pricing Under Demand Uncertainty.

We propose a new theory of price rigidity based on firms' Knightian uncertainty about their competitive environment. This uncertainty has two key implications. First, firms learn about the shape of their demand function from past observations of quantities sold. This learning gives rise to kinks in...

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Bibliographic Details
Published in:Econometrica Vol. 88; no. 5; pp. 1899 - 1939
Main Authors: Ilut, Cosmin, Valchev, Rosen, Vincent, Nicolas
Format: Article
Published: Wiley-Blackwell Sep2020
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Sep2020
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      pub: Wiley-Blackwell
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        146079675
        10.3982/ECTA14234
      ppf: 1899
      ppct: 40
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      tig:
        atl: Paralyzed by Fear: Rigid and Discrete Pricing Under Demand Uncertainty.
      aug:
        au:
          Ilut, Cosmin
          Valchev, Rosen
          Vincent, Nicolas
        affil:
          Economics Department, Duke University
          NBER
          Economics Department, Boston College
          Department of Applied Economics, HEC Montréal
      su:
        Uncertainty
        Microeconomics
        Fear
        Demand function
      sug:
        subj:
          Uncertainty
          Microeconomics
          Fear
          Demand function
      keyword:
        ambiguity aversion
        non‐parametric learning
        Price rigidity
        ambiguity aversion
        non‐parametric learning
        Price rigidity
      ab: We propose a new theory of price rigidity based on firms' Knightian uncertainty about their competitive environment. This uncertainty has two key implications. First, firms learn about the shape of their demand function from past observations of quantities sold. This learning gives rise to kinks in the expected profit function at previously observed prices, making those prices both sticky and more likely to reoccur. Second, uncertainty about the relationship between aggregate and industry‐level inflation generates nominal rigidity. We prove the main insights analytically and quantify the effects of our mechanism. Our estimated quantitative model is consistent with a wide range of micro‐level pricing facts that are typically challenging to match jointly. It also implies significantly more persistent monetary non‐neutrality than in standard models, allowing it to generate large real effects from nominal shocks.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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