Uncertainty-Driven Business Cycles: Assessing the Markup Channel

89 Pages Posted: 9 Jan 2017 Last revised: 6 May 2020

See all articles by Benjamin Born

Benjamin Born

Frankfurt School of Finance & Management

Johannes Pfeifer

University of Mannheim - School of Economics (VWL)

Multiple version iconThere are 2 versions of this paper

Date Written: January 2017

Abstract

Precautionary pricing and increasing markups in representative-agent DSGE models with nominal rigidities are commonly used to generate negative output effects of uncertainty shocks. We assess whether this theoretical model channel is consistent with the data. We use a New Keynesian model 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 uncertainty. Consistent with precautionary wage setting, we find that wage markups increase after uncertainty shocks. The impulse responses of price markups, on the other hand, are largely inconsistent with the standard model, both at the aggregate as well as at the industry level, regardless of whether it is measured along the intensive labor or the intermediate input margin. The only exception is the extensive labor margin, where price markups tend to increase, indicating the potential for search-and-matching models to deliver data-consistent responses to uncertainty shocks.

Keywords: markup channel, precautionary pricing, price markup, Uncertainty shocks, wage markup

JEL Classification: E01, E24, E32

Suggested Citation

Born, Benjamin and Pfeifer, Johannes, Uncertainty-Driven Business Cycles: Assessing the Markup Channel (January 2017). CEPR Discussion Paper No. DP11745, Available at SSRN: https://ssrn.com/abstract=2896035

Benjamin Born (Contact Author)

Frankfurt School of Finance & Management ( email )

Adickesallee 32-34
Frankfurt am Main, 60322
Germany

Johannes Pfeifer

University of Mannheim - School of Economics (VWL) ( email )

Mannheim 68131
Germany

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
0
Abstract Views
636
PlumX Metrics