9/29/2025
<a href="https://www.federalreserve.gov/econres/jeffrey-s-allen.htm">Jeffrey S. Allen</a> and Max S. S. Hatfield<br><br>We examined the performance of four families of large language models (LLMs) and a variety of common fuzzy matching algorithms in assessing the similarity of names and addresses in a sanctions screening context. On average, across a range of realistic matching thresholds, the LLMs in our study reduc...
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<a href="https://www.federalreserve.gov/econres/yesol-huh.htm">Yesol Huh</a> and Matthew Vanderpool Kling<br><br>This 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 sa...
Read more9/26/2025
Anne Lundgaard Hansen and <a href="https://www.federalreserve.gov/econres/seung-jung-lee.htm">Seung Jung Lee</a><br><br>This 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 hum...
Read more9/25/2025
<a href="https://www.federalreserve.gov/econres/anushka-mitra.htm">Anushka Mitra</a><br><br>The 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 ab...
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<a href="https://www.federalreserve.gov/econres/rehim-kilic.htm">Rehim Kilic</a><br><br>This paper investigates whether the “virtue of complexity” (VoC), documented in equity return prediction, extends to exchange rate forecasting. Using nonlinear Ridge regressions with Random Fourier Features (Ridge–RFF), we compare the predictive performance of complex models against linear regression and the robu...
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<a href="https://www.federalreserve.gov/econres/viktors-stebunovs.htm">Viktors Stebunovs</a><br><br>A 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 ...
Read more9/24/2025
<a href="https://www.federalreserve.gov/econres/vitaly-m-bord.htm">Vitaly M. Bord</a>, Agnes Kovacs, and <a href="https://www.federalreserve.gov/econres/patrick-moran.htm">Patrick Moran</a><br><br>In the United States, credit card companies frequently use machine learning algorithms to proactively raise credit limits for borrowers. In contrast, an increasing number of countries have begun to prohibit credit limit inc...
Read more9/19/2025
<a href="https://www.federalreserve.gov/econres/daniel-o-beltran.htm">Daniel O. Beltran</a> and <a href="https://www.federalreserve.gov/econres/julio-l-ortiz.htm">Julio L. Ortiz</a><br><br>We explore differences in the dynamics of core inflation between Europe and North America using a Bayesian time series filter that decomposes the level of core inflation in the major advanced economies into regional, global, and co...
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<a href="https://www.federalreserve.gov/econres/manuel-p-gonzalez-astudillo.htm">Manuel González-Astudillo</a>, <a href="https://www.federalreserve.gov/econres/diego-vilan.htm">Diego Vilán</a><br><br>A challenge for conducting monetary policy in a currency union is the diverse economic conditions among member states. Such disparities can drive natural interest rates apart, thereby undermining the stabilizing role o...
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<a href="https://www.federalreserve.gov/econres/robert-m-adams.htm">Robert M. Adams</a> and <a href="https://www.federalreserve.gov/econres/shane-m-sherlund.htm">Shane M. Sherlund</a><br><br>This study examines changes in household and employment access to bank branches in the United States from 2014 to 2024, calculating distances with highly granular census block-level data. We develop a continuous measure of bank b...
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<a href="https://www.federalreserve.gov/econres/jake-d-orchard.htm">Jacob Orchard</a><br><br>This paper shows that adverse macroeconomic shocks systematically increase inflation for low-income households relative to high-income households. I document two key facts: (i) during every U.S. recession since 1959, aggregate spending shifts toward products disproportionately purchased by low-income households (necessities);...
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Jaemin Jeong, Eunseong Ma, <a href="https://www.federalreserve.gov/econres/choongryul-yang.htm">Choongryul Yang</a><br><br>When do households listen to the Fed? We show the answer lies in a simple but powerful force: household attention to macroeconomic conditions. We develop a model where attention acts as a crucial gatekeeper for the pass-through of policy news to beliefs, and confirm its predictions using househol...
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<a href="https://www.federalreserve.gov/econres/daniel-a-dias.htm">Daniel A. Dias</a>; Sophia C. Scott<br><br>This paper shows that U.S. commercial banks' funding betas rise predictably with the length, magnitude, and direction of each monetary policy cycle: longer cycles and those with larger changes in the policy rate yield stronger pass-through in both tightening and loosening cycles, with modest asymmetry fav...
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<a href="https://www.federalreserve.gov/econres/shengwu-du.htm">Shengwu Du</a>, <a href="https://www.federalreserve.gov/econres/travis-d-nesmith.htm">Travis D. Nesmith</a>, Yang Heppe<br><br>Financial stress can impact trading behavior in the U.S. commodity futures markets. To clarify the impact, we study absolute changes and relative exposure dynamics in traders' positions during two recent crises: the 2008 Glob...
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<a href="https://www.federalreserve.gov/econres/david-m-arseneau.htm">David M. Arseneau</a> and <a href="https://www.federalreserve.gov/econres/gazi-i-kara.htm">Gazi I. Kara</a><br><br>This paper uses a large-scale redrawing of flood zone maps for the City of New Orleans in 2016 to identify how banks respond to changes in perceived flood risk in residential mortgage origination. Using geo-coding, we separate loan-lev...
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