Inflation and Wage Expectations of Firms and Employees
Lukas Buchheim,
Sebastian Link and
Sascha Möhrle
No 17269, IZA Discussion Papers from Institute of Labor Economics (IZA)
Abstract:
We study the link between expected inflation and wages using novel panel data from German firms and employees. We find that pass-through—the percentage point change in wage growth given a one percentage point change in expected inflation—is small: 0.11–0.17 for firms and 0.03–0.07 for employees. Utilizing variation in the coverage length of collective agreements, we estimate that passthrough at the intensive margin is 1.4-2 times larger than average pass-through, highlighting the importance of wage rigidities for pass-through. Pass-through also rises with the bargaining power of employees. At the extensive margin, expected inflation has little effect on additional wage negotiations.
Keywords: wage expectations; inflation; pass-through; wage-price spirals; bargaining; firms; employees; survey data (search for similar items in EconPapers)
JEL-codes: D84 E24 E31 (search for similar items in EconPapers)
Pages: 73 pages
Date: 2024-09
New Economics Papers: this item is included in nep-eec, nep-ipr, nep-lma and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://docs.iza.org/dp17269.pdf (application/pdf)
Related works:
Working Paper: Inflation and Wage Expectations of Firms and Employees (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:iza:izadps:dp17269
Ordering information: This working paper can be ordered from
IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany
Access Statistics for this paper
More papers in IZA Discussion Papers from Institute of Labor Economics (IZA) IZA, P.O. Box 7240, D-53072 Bonn, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Holger Hinte ().