Central banks

FEDS Paper: Parallel Trends Forest: Data-Driven Control Sample Selection in Difference-in-Differences

Yesol Huh and Matthew Vanderpool KlingThis paper introduces parallel trends forest, a novel approach to constructing optimal control samples when using difference-in-differences (DiD) in a relatively long panel data with little randomization in treatment assignment. Our method uses machine learning techniques to construct an optimal control sample that best meet the parallel trends assumption. We demonstrate that our approach outperforms existing methods, particularly with noisy, granular data.

The Great Moderation at 40: learning from the cross section

This study examines the drivers of inflation levels, inflation variability, and growth variability collectively representing long-term central bank performance across 37 advanced economies in the Great Moderation era. A key finding is that central bank performance is consistently linked to the overall quality of institutions, while central bank-specific factors such as independence, exchange rate regimes, or inflation targeting show no significant impact. The analysis is extended to the 2022 inflation resurgence, using pre-2022 country characteristics.

The Great Moderation at 40: learning from the cross section

This study examines the drivers of inflation levels, inflation variability, and growth variability collectively representing long-term central bank performance across 37 advanced economies in the Great Moderation era. A key finding is that central bank performance is consistently linked to the overall quality of institutions, while central bank-specific factors such as independence, exchange rate regimes, or inflation targeting show no significant impact. The analysis is extended to the 2022 inflation resurgence, using pre-2022 country characteristics.

Business cycles with pricing cascades

Business cycles with pronounced inflation can have sectoral origins and often feature a growing share of price-adjusting firms. Rationalizing such phenomena requires enhancing our modeling toolkit. We do that by building a non-linear equilibrium multi-sector framework featuring a general input-output network and optimal decisions on the timing and size of price adjustments. The interaction of our ingredients creates equilibrium cascades: large movements in aggregates trigger price adjustment decisions on the extensive margin.

Business cycles with pricing cascades

Business cycles with pronounced inflation can have sectoral origins and often feature a growing share of price-adjusting firms. Rationalizing such phenomena requires enhancing our modeling toolkit. We do that by building a non-linear equilibrium multi-sector framework featuring a general input-output network and optimal decisions on the timing and size of price adjustments. The interaction of our ingredients creates equilibrium cascades: large movements in aggregates trigger price adjustment decisions on the extensive margin.

FEDS Paper: Financial Stability Implications of Generative AI: Taming the Animal Spirits

Anne Lundgaard Hansen and Seung Jung LeeThis paper investigates the impact of the adoption of generative AI on financial stability. We conduct laboratory-style experiments using large language models to replicate classic studies on herd behavior in investment decisions. Our results show that AI agents make more rational decisions than humans, relying predominantly on private information over market trends.

IFDP Paper: Imperfect Information and Slow Recoveries in the Labor Market

Anushka MitraThe unemployment rate remains elevated long after recessions, a persistence that standard search-and-matching models cannot explain. I show that noise shocks—expectational errors due to the noise in received signals about aggregate shocks—account for much of this sluggishness. Using a structural VAR, I find that absent noise shocks unemployment would have recovered to its pre-recession level six quarters earlier over 1968–2019.

IFDP Paper: Clean Money, High Costs?

Viktors StebunovsA cornerstone of the law-and-finance literature is that stronger institutions reduce financial intermediation costs. Using global data on cross-border payment costs, I show this relationship can reverse in heavily regulated sectors. Anti-money laundering risks have larger cost effects in advanced economies with strong enforcement than in developing countries with weak enforcement, despite the former having lower underlying risks.

What can newspaper articles reveal about the euro area economy?

This study introduces a novel approach to dictionary-based sentiment analysis that extracts valuable insights from economic newspaper articles in the euro area without requiring article translation. We develop sentiment indices that accurately measure economic, labour, and inflation perceptions in Germany, France, Italy, and Spain using native-language texts. The aggregation of these country-specific sentiments provides a reliable indicator for the euro area as a whole, demonstrating the effectiveness of our approach in several nowcasting and forecasting experiments.

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