Tweets by @NYFedResearch

Economic Research

Why Do Fewer Renters Expect to Move?
Americans are moving less than they used to. Moving rates have declined steadily for decades, falling from close to 20 percent annually in the mid-1980s to below 10 percent by 2019. In this post, the authors use data from the annual SCE Housing Survey to show that this decline in mobility holds for homeowners and renters alike—with growing challenges to owning a home being an important contributing factor for renters.
By Christopher Gresh, Andrew Haughwout, Eungik Lee, and Wilbert van der Klaauw
Street Level: AI’s Impact on Labor and Hiring
In this inaugural Street Level post, Research Director Kartik Athreya discusses recent work by New York Fed staff on artificial intelligence and the labor market. He examines how AI is changing the labor market and hiring behaviors, highlighting research about how AI is likely to affect the economy overall and labor markets in particular—a top-of-mind topic for almost everyone in the workforce today.
By Kartik Athreya
A Window into Bond Investors' Uncertainty About R-Star
Monetary policymakers closely monitor the term structure of sovereign bond yields to uncover market participants' beliefs about the future monetary policy stance, inflation, and activity. A particular object of interest is the natural real rate of return, or "r-star," which acts as a guide for monetary policy decisions. But how much do bond investors know about r-star? The author explores what the term structure of interest rates can teach us about r-star and how it’s perceived by investors.
By Guillaume Roussellet
Stablecoins and (Non)Crypto Shocks: A 2026 Update
Stablecoins are digital assets whose value is pegged to that of a fiat currency, typically the U.S. dollar at a peg of one dollar per token. The authors document the continued growth of stablecoins since April 2025. They then examine how shocks from outside the crypto industry can impact the composition of stablecoins' reserve assets, using the 2023 failure of Silicon Valley Bank and its impact on USD Coin as a case study.
By Kenechukwu Anadu, Pablo D. Azar, Sean Baker, Marco Cipriani, Thomas Eisenbach, Mattia Landoni, Gabriele La Spada, Marco Machiavelli, and J. Christina Wang
AI generated image of a glass square vessel with glass squares and pyramid inside with the words Bank Holding Company on the large vessel and insurer, fintech and broker-dealer on the small glass items inside it.
Nonbank Subsidiaries and the Hidden Fragility of Internal Capital Markets Reallocation
Did Basel III make bank holding companies safer? Bank subsidiaries accumulated capital, improved asset quality, and reduced risk; however, each dollar injected into a bank came out of a nonbank affiliate. Did the reallocation reduce risk for the organization or merely move it to a less visible part of the firm? The authors’ evidence finds that the same internal capital markets that helped banks meet tighter requirements left nonbank affiliates with thinner buffers and riskier business models.
By Nicola Cetorelli and Shohini Kundu
AI generated image of a glass square vessel with glass squares and pyramid inside with the words Bank Holding Company on the large vessel and insurer, fintech and broker-dealer on the small glass items inside it.AI generated image of a glass square vessel with glass squares and pyramid inside with the words Bank Holding Company on the large vessel and insurer, fintech and broker-dealer on the small glass items inside it.
How Basel III Changes Where Capital Sits: Nonbank Subsidiaries as Equity Reservoir
When Basel III's binding capital minimums took effect for U.S. banks in January 2015, a bank holding company (BHC) whose depository subsidiary fell short had two options: raise fresh equity in external markets (a costly option), or, if it owned equity-rich nonbank affiliates, it could move capital from its subsidiary to itself—satisfying the regulator, avoiding issuance costs, and leaving consolidated equity where it was. The authors show that this second option is precisely what organizationally complex BHCs did.
By Nicola Cetorelli and Shohini Kundu
RESEARCH TOPICS
Bank Runs With and Without Bank Failure
The authors study the causes and consequences of bank runs. By applying large language models to historical newspapers, they create a comprehensive database of bank runs in U.S. history with information on 3,984 runs on individual banks from 1863 to 1934. Their novel data establishes that runs are considerably more likely in weak banks but also occur in strong banks; however, runs typically only result in failure for banks with poor fundamentals.
Sergio Correia, Stephan Luck, and Emil Verner, Staff Report 1198, July 2026
The International RBC Model Finally Works!
The standard International Real Business Cycle (RBC) model, driven by aggregate productivity shocks, fails to reconcile the empirical behavior of real exchange rates and macroeconomic variables. The authors show that incorporating uninsurable countercyclical income risk into a standard international RBC model can qualitatively and quantitatively account for the quantity puzzles in open-economy macro, which can be broadly categorized into three groups: quantity puzzles, exchange rate puzzles, and macroeconomic comovement.
Sushant Acharya, Edouard Challe, and Louphou Coulibaly, Staff Report 1197, July 2026
Regulatory Arbitrage Within the Firm
Regulation shapes the boundaries of firms. When prudential standards bind asymmetrically across subsidiaries of an integrated organization, internal capital markets become a mechanism for regulatory arbitrage. The authors study this in U.S. banking, where holding companies encompass both heavily regulated depository institutions and lightly regulated nonbank affiliates. They find that organizational structure is a fundamental determinant of regulatory outcomes.
Nicola Cetorelli and Shohini Kundu, Staff Report 1196, revised July 2026
Micro and Macro Cost-Price Dynamics in Normal Times and During Inflation Surges
Firms adjust output prices infrequently despite continuously evolving economic conditions, leading their prices to drift from those that maximize flow profits. The authors study cost-price dynamics in a cross-section of firms in order to jointly explain the time series of aggregate inflation and the frequency of price changes, both during normal times and inflation surges. Their analysis provides novel evidence and insights about the passthrough of costs into prices in both the cross-section of firms and aggregate time-series.
Luca Gagliardone, Mark Gertler, Simone Lenzu, and Joris Tielens, Staff Report 1195, May 2026
Bayesian Persuasion and Cryptography
Bayesian Persuasion assumes that a sender can commit ex ante to an information structure and then release the realized signal ex post. This paper asks when that commitment technology can itself be implemented. The author defines “Receiver-Private Certified Bayesian Persuasion” and shows that this benchmark is equivalent in cryptographic power to secure two-party computation, demonstrating that hiding the signal from the sender is necessary.
Pablo D. Azar, Staff Report 1194, May 2026
Financial Shocks, Productivity, and Prices
Financial crises are frequently followed by persistent slowdowns in aggregate productivity growth. The authors study the interconnection between the productivity and pricing effects of financial shocks. They show that a tightening of credit conditions has a persistent, yet delayed, negative effect on firms’ long-run physical productivity growth while also inducing firms to change their pricing policies. Also, they demonstrate that the pricing adjustments themselves have productivity implications.
Simone Lenzu, David A. Rivers, Joris Tielens, and Shi Hu, Staff Report 1193, April 2026
Artificial Intelligence and Monetary Policy: A Framework and Perspective on Cyclical Transmission, Structural Transition, and Financial Stability
The author develops a framework analyzing how artificial intelligence (AI) reshapes monetary policy through three interrelated channels: cyclical transmission, structural transition, and financial stability. Given that central bank mandates center on price stability and financial stability, these developments place AI squarely within the domain of central banking. The author argues that AI does not call for a redefinition of central banks’ objectives, but it does require a recalibration of existing frameworks.
Simone Lenzu, Staff Report 1192, April 2026
Estimating Demand Shocks from Foot Traffic: A Big-Data Approach
Demand shocks in the service, retail trade, and health sectors are challenging to measure because output only occurs when a customer arrives at an establishment. The authors leverage high-frequency foot-traffic data to estimate demand shocks across New York City’s retail, service, and health sectors. Their analysis shows that demand dynamics in these customer-facing industries are fundamentally heterogeneous: establishments differ systematically in the persistence, volatility, and growth patterns of their demand processes.
Marina Azzimonti, David Wiczer, and Yang Xuan, Staff Report 1191, April 2026



The Research Mission
“A central goal of New York Fed Research is to make sure that as we learn, we share.”
     –Kartik Athreya, Research Director

 
The Aggregate
Subscribe to this twice-monthly newsletter covering the latest economic research from the New York Fed.
By continuing to use our site, you agree to our Terms of Use and Privacy Statement. You can learn more about how we use cookies by reviewing our Privacy Statement.   Close