Arbeitspapier

Uncertainty-driven Business Cycles: Assessing the Markup Channel

A growing recent literature relies on a precautionary pricing motive embedded in representative agent DSGE models with sticky prices and wages to generate negative output effects of uncertainty shocks. We assess whether this theoretical model channel is consistent with the data. Building a New Keynesian model, we show that indeed with sufficient nominal rigidities markups increase and output falls after uncertainty shocks. The model is also used as a business cycle accounting device to construct aggregate markups from the data. Time-series techniques are employed to study the conditional comovement between markups and output in the data. Consistent with the model’s precautionary wage setting, we find that wage markups increase after uncertainty shocks. Price markups in contrast fall. This finding - inconsistent with the model - is corroborated by industry-level data. Overall, these results point to a prominent role for sticky wages in the transmission of uncertainty shocks.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 6303

Klassifikation
Wirtschaft
Business Fluctuations; Cycles
Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Thema
uncertainty shocks
price markup
wage markup

Ereignis
Geistige Schöpfung
(wer)
Born, Benjamin
Pfeifer, Johannes
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Born, Benjamin
  • Pfeifer, Johannes
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2017

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