Inflation persistence, noisy information and the Phillips curve

José-Elías Gallegos

No 2309, Working Papers from Banco de España

Abstract: A vast literature has documented how US inflation persistence has fallen in recent decades, but this finding is difficult to explain in monetary models. Using survey data on inflation expectations, I document a positive co-movement between ex-ante average forecast errors and forecast revisions (suggesting forecast sluggishness) from 1968 to 1984, but no co-movement thereafter. I extend the New Keynesian setting to include noisy and dispersed information about the aggregate state, and show that inflation is more persistent in periods of greater forecast sluggishness. My results suggest that changes in firm forecasting behavior explain around 90% of the fall in inflation persistence since the mid-1980s. I also find that the changes in the dynamics of the Phillips curve can be explained by the change in information frictions. After controlling for changes in information frictions, I estimate only a modest decline in the slope. I find that a more significant factor in the dynamics of the Phillips curve is the shift towards greater forward-lookingness and less backward-lookingness. Finally, I find evidence of forecast underrevision in the post-COVID period, which explains the increase in the persistence of current inflation.

Keywords: inflation persistence; Phillips curve; noisy information (search for similar items in EconPapers)
JEL-codes: E31 E32 E52 E70 (search for similar items in EconPapers)
Pages: 119 pages
Date: 2023-02
New Economics Papers: this item is included in nep-eec and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:bde:wpaper:2309

DOI: 10.53479/29569

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