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Learning, confidence, and business cycles

Publication ,  Scholarly Edition
Ilut, C; Saijo, H
January 1, 2021

We argue that information accumulation provides a quantitatively successful propagation mechanism that challenges and empirically improves on the conventional New Keynesian models with many nominal and real rigidities. In particular, we build a tractable heterogeneous-firm business cycle model where firms face Knightian uncertainty about their profitability and learn it through production. The feedback between uncertainty and economic activity maps fundamental shocks into an as if procyclical equilibrium confidence process, generating co-movement driven by demand shocks, amplified and hump-shaped dynamics, countercyclical correlated wedges in the equilibrium conditions for labor, risk-free and risky assets, and countercyclical firm-level and aggregate dispersion of forecasts.

Duke Scholars

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Publication Date

January 1, 2021

Start / End Page

354 / 376

Related Subject Headings

  • Economics
  • 3803 Economic theory
  • 3801 Applied economics
  • 3502 Banking, finance and investment
  • 1403 Econometrics
  • 1402 Applied Economics
  • 1401 Economic Theory
 

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Ilut, C., & Saijo, H. (2021). Learning, confidence, and business cycles. https://doi.org/10.1016/j.jmoneco.2020.01.010
Ilut, C., and H. Saijo. “Learning, confidence, and business cycles,” January 1, 2021. https://doi.org/10.1016/j.jmoneco.2020.01.010.
Ilut C, Saijo H. Learning, confidence, and business cycles. 2021. p. 354–76.
Ilut, C., and H. Saijo. Learning, confidence, and business cycles. 1 Jan. 2021, pp. 354–76. Scopus, doi:10.1016/j.jmoneco.2020.01.010.
Ilut C, Saijo H. Learning, confidence, and business cycles. 2021. p. 354–376.

DOI

Publication Date

January 1, 2021

Start / End Page

354 / 376

Related Subject Headings

  • Economics
  • 3803 Economic theory
  • 3801 Applied economics
  • 3502 Banking, finance and investment
  • 1403 Econometrics
  • 1402 Applied Economics
  • 1401 Economic Theory