Central banks

Inflation and floating-rate loans: evidence from the euro-area

We provide novel evidence on the supply-side transmission of monetary policy through a floating-rate channel. After a rate hike, firms with floating-rate loans keep prices elevated to offset higher borrowing costs, thereby reducing the effectiveness of monetary policy. Using monthly data on product-level prices, industry-level inflation rates and the euro-area credit register from 2021 to 2023, we find that the short-run impact of monetary tightening on inflation is 50% smaller when firms rely on floating-rate loans.

Inflation and floating-rate loans: evidence from the euro-area

We provide novel evidence on the supply-side transmission of monetary policy through a floating-rate channel. After a rate hike, firms with floating-rate loans keep prices elevated to offset higher borrowing costs, thereby reducing the effectiveness of monetary policy. Using monthly data on product-level prices, industry-level inflation rates and the euro-area credit register from 2021 to 2023, we find that the short-run impact of monetary tightening on inflation is 50% smaller when firms rely on floating-rate loans.

IFDP Paper: Transformative and Subsistence Entrepreneurs: Origins and Impacts on Economic Growth

Ufuk Akcigit, Harun Alp, Jeremy Pearce, and Marta PratoThis paper explores the symbiotic relationship between transformative entrepreneurs and inventors, which is crucial for economic growth. We utilize microdata from Denmark to demonstrate that while the relationship between IQ and general entrepreneurship tends to be negative, it is strongly positive among transformative entrepreneurs.

Enhancing GDP nowcasts with ChatGPT: a novel application of PMI news releases

This study involves tasking ChatGPT with classifying an “activity sentiment score” based on PMI news releases. It explores the predictive power of this score for euro area GDP nowcasting. We find that the PMI text scores enhance GDP nowcasts beyond what is embedded in ECB/Eurosystem Staff projections and Eurostat’s first GDP estimate. The ChatGPT-derived activity score retains its significance in regressions that also include the composite output PMI diffusion index.

Enhancing GDP nowcasts with ChatGPT: a novel application of PMI news releases

This study involves tasking ChatGPT with classifying an “activity sentiment score” based on PMI news releases. It explores the predictive power of this score for euro area GDP nowcasting. We find that the PMI text scores enhance GDP nowcasts beyond what is embedded in ECB/Eurosystem Staff projections and Eurostat’s first GDP estimate. The ChatGPT-derived activity score retains its significance in regressions that also include the composite output PMI diffusion index.

FEDS Paper: Shovel Ready Projects and Commercial Construction Activity's Long and Variable Lags(Revised)

David Glancy, Robert J. Kurtzman, and Lara LoewensteinWe use microdata on the phases of commercial construction projects to document three facts regarding the sector's time-to-plan lags: (1) plan times are long and highly variable, (2) nearly half of projects in planning are abandoned, and (3) property price appreciation reduces the likelihood of abandonment.

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