Nonlinear Dynamics in Menu Cost Economies? Evidence from U.S. Data
Andres Blanco,
Corina Boar,
Callum Jones and
Virgiliu Midrigan
No 19268, CEPR Discussion Papers from C.E.P.R. Discussion Papers
Abstract:
We show that standard menu cost models cannot simultaneously reproduce the dispersion in the size of micro-price changes and the extent to which the fraction of price changes increases with inflation in the U.S. time-series. Though the Golosov and Lucas (2007) model generates fluctuations in the fraction of price changes, it predicts too little dispersion in the size of price changes and therefore little monetary non-neutrality. In contrast, versions of the model that reproduce the dispersion in the size of price changes and generate stronger monetary non-neutrality predict a nearly constant fraction of price changes.
JEL-codes: E3 (search for similar items in EconPapers)
Date: 2024-07
References: Add references at CitEc
Citations:
Downloads: (external link)
https://cepr.org/publications/DP19268 (application/pdf)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
Related works:
Working Paper: Nonlinear Dynamics in Menu Cost Economies? Evidence from U.S. Data (2024) 
Working Paper: Nonlinear Dynamics in Menu Cost Economies? Evidence from U.S. Data (2024) 
Working Paper: Nonlinear Dynamics in Menu Cost Economies? Evidence from U.S. Data (2024) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:19268
Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP19268
Access Statistics for this paper
More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().