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<title>Federal Reserve Bank of St. Louis publications</title>
<description>Economic research and commentary from Federal Reserve Bank of St. Louis</description>
<link>https://fedinprint.org/search?facets[]=provider_literal_array:Federal+Reserve+Bank+of+St.+Louis</link>
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<pubDate>Tue, 14 Jul 2026 22:57:14 +0000</pubDate>
<item>
<title>The Baby Bust: How Economics Can Explain Demographic Changes</title>
<link>https://fedinprint.org/item/fedlpo/103529</link>
<description>
<![CDATA[Learn how economic forces and opportunity costs help explain declining birth rates in wealthy nations.]]>
</description>
<guid>https://fedinprint.org/item/fedlpo/103529</guid>
<dc:creator>Vandenbroucke, Guillaume; Kaiman, Mike</dc:creator>
<dc:date>2026-07-10</dc:date>
<dc:subject>birth rates; productivity; opportunity cost; per capita income</dc:subject>
<bibo:series>Page One Economics Newsletter</bibo:series>
</item>
<item>
<title>How Are &quot;Disconnected&quot; Young Adults Spending Their Time?</title>
<link>https://fedinprint.org/item/l00001/103528</link>
<description>
<![CDATA[An analysis of survey data on young adults who aren’t working or in school suggests constraints on how they can allocate their time rather than inactivity.]]>
</description>
<guid>https://fedinprint.org/item/l00001/103528</guid>
<dc:creator>Kassens, Alice; Rodgers, William M.</dc:creator>
<dc:date>2026-07-14</dc:date>
<dc:subject>young adults; unemployment; educational attainment</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>Guiding Monetary Policy during a Productivity Boom: Evidence from the 1990s</title>
<link>https://fedinprint.org/item/l00001/103527</link>
<description>
<![CDATA[This post examines how the IT-driven productivity boom affected the U.S. economy and shaped the Federal Reserve’s monetary policy decisions in the 1990s.]]>
</description>
<guid>https://fedinprint.org/item/l00001/103527</guid>
<dc:creator>Wheelock, David C.; Kliesen, Kevin L.</dc:creator>
<dc:date>2026-07-13</dc:date>
<dc:subject>productivity; information technology; artificial intelligence</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>Geopolitical Distance and Targeted Trade: Evidence from Product-Level Export Controls</title>
<link>https://fedinprint.org/item/fedlwp/103525/original</link>
<description>
<![CDATA[Trade policy in advanced economies is closely intertwined with concerns about technology and geopolitical rivalry. Using product-level data on export-related trade interventions, we characterize how contemporary export-side interventions are allocated across products, destinations, and bilateral trade relationships. We show that export controls are broad in regulatory scope but economically concentrated on high-value trade flows. Export controls disproportionately target high-technology products and economically important trade relationships, while geopolitical distance shapes their allocation in a nonlinear manner, with the strongest associations for high-technology trade between geopolitical rivals. Finally, a decomposition of targeting patterns shows that modern export controls are organized primarily around products rather than destinations, consistent with a technology-centered regulatory framework.]]>
</description>
<guid>https://fedinprint.org/item/fedlwp/103525/original</guid>
<dc:creator>Santacreu, Ana Maria; Patro, Bontu Ankit</dc:creator>
<dc:date>2026-07-14</dc:date>
<rdau:hasExtent>35 pages</rdau:hasExtent>
<dc:subject>trade policy; geopolitics; export controls; technology; non-tariff barriers</dc:subject>
<swpo:hasNumber>2026-014</swpo:hasNumber>
<identifiers:doi>10.20955/wp.2026.014</identifiers:doi>
<bibo:series>Working Papers</bibo:series>
</item>
<item>
<title>How Does the Fed Interpret and Pursue the Dual Mandate?</title>
<link>https://fedinprint.org/item/l00100/103504</link>
<description>
<![CDATA[The Fed's monetary policy framework includes how the FOMC interprets maximum employment and price stability and the strategy to achieve those objectives.]]>
</description>
<guid>https://fedinprint.org/item/l00100/103504</guid>
<dc:creator>Engemann, Kristie M.</dc:creator>
<dc:date>2026-07-08</dc:date>
<dc:subject>dual mandate; maximum employment; price stability; Federal Open Market Committee (FOMC)</dc:subject>
<ebucore:publicationChannel>Open Vault</ebucore:publicationChannel>
</item>
<item>
<title>Banking Analytics: Allowance for Credit Losses Remains Stable at U.S. Banks</title>
<link>https://fedinprint.org/item/l00001/103492</link>
<description>
<![CDATA[The ACL coverage ratio, which was stable at 1.66% for U.S. banks in the first quarter of 2026, offers insight about the risk in banks’ loan portfolios.]]>
</description>
<guid>https://fedinprint.org/item/l00001/103492</guid>
<dc:creator>Romanko, Reed</dc:creator>
<dc:date>2026-07-06</dc:date>
<dc:subject>aggregate allowance for credit losses (ACL) coverage ratio; loan loss reserves; loan delinquencies; charge-offs; economic uncertainty</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>The Tradition of Federal Reserve Independence</title>
<link>https://fedinprint.org/item/fedlwp/103485/original</link>
<description>
<![CDATA[The tradition of Federal Reserve independence is encoded in statute in important ways but is also rooted in norms and practices. To articulate this tradition, we discuss how those norms and practices emerged historically from compromises over the concentration of power, actions taken by political leaders and Fed officials to define the boundaries of the Fed’s independence, and in reaction to evolving monetary theories and practices. We argue that understanding these historic roots provides essential context for evaluating challenges to the Fed's independence today and in the future.]]>
</description>
<guid>https://fedinprint.org/item/fedlwp/103485/original</guid>
<dc:creator>Wheelock, David C.; Rose, Jonathan D.</dc:creator>
<dc:date>2026-07-06</dc:date>
<rdau:hasExtent>34 pages</rdau:hasExtent>
<dc:subject>Federal Reserve; central bank independence; monetary policy</dc:subject>
<swpo:hasNumber>2026-013</swpo:hasNumber>
<identifiers:doi>10.20955/wp.2026.013</identifiers:doi>
<bibo:series>Working Papers</bibo:series>
</item>
<item>
<title>The Story of U.S. Central Banking</title>
<link>https://fedinprint.org/item/l00100/103481</link>
<description>
<![CDATA[The history of the creation of U.S. central banks includes political battles, financial crises, 77 years without a central bank—and one founding father’s enduring vision.]]>
</description>
<guid>https://fedinprint.org/item/l00100/103481</guid>
<dc:creator>Whipple, Jona</dc:creator>
<dc:date>2026-07-01</dc:date>
<dc:subject>central banking; economic history; financial history; financial panics; financial crises</dc:subject>
<ebucore:publicationChannel>Open Vault</ebucore:publicationChannel>
</item>
<item>
<title>Expectations on Wealth Returns: Implications for Labor Supply During the Retirement Boom</title>
<link>https://fedinprint.org/item/fedlwp/102353/original</link>
<description>
<![CDATA[We use an overlapping-generations model with incomplete markets and a frictional labor market to study how assumptions about agents’ expectations of changes in returns to wealth affect labor supply and retirement decisions. Focusing on 2020–23, when returns fluctuated sharply and retirements rose above trend, we find that when individuals internalize the dependence of returns on wealth and view changes in returns as persistent, the model generates counterfactual labor-market outcomes. Retirements fall because expectations of persistently high returns boost labor supply, outweighing wealth effects, and the model predicts retirements concentrated among the very wealthy, contrary to the microdata.]]>
</description>
<guid>https://fedinprint.org/item/fedlwp/102353/original</guid>
<dc:creator>Birinci, Serdar; Faria-e-Castro, Miguel; See, Kurt</dc:creator>
<dc:date>2025-11-17</dc:date>
<rdau:hasExtent>6 pages</rdau:hasExtent>
<dc:subject>labor supply; retirement; heterogeneous returns; incomplete markets</dc:subject>
<swpo:hasNumber>2025-031</swpo:hasNumber>
<identifiers:doi>10.20955/wp.2025.031</identifiers:doi>
<bibo:series>Working Papers</bibo:series>
</item>
<item>
<title>How Shifts in Labor Supply and Demand Shape Outcomes for Young Workers</title>
<link>https://fedinprint.org/item/l00001/103464</link>
<description>
<![CDATA[Fewer job openings and AI-related job demand have contributed to weaker labor market conditions for young workers, especially recent college graduates.]]>
</description>
<guid>https://fedinprint.org/item/l00001/103464</guid>
<dc:creator>Kassens, Alice; Rodgers, William M.</dc:creator>
<dc:date>2026-06-30</dc:date>
<dc:subject>labor market conditions; young adult workers; recent college graduates; job openings; artificial intelligence (AI)</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>Import Tariffs and Illegal Immigration: A Strategic Analysis</title>
<link>https://fedinprint.org/item/fedlrv/103433</link>
<description>
<![CDATA[We examine the effects of tariffs in a two-country specific-factors model with endogenous illegal immigration. While tariffs generate the usual terms-of-trade gains in goods markets for the host country, they also raise wages and attract additional illegal immigration. Increased immigration-related costs and higher wage costs of hiring immigrants may reduce the welfare of citizens of the host country. We also show that within the context of our two-nation framework, free trade need not maximize joint welfare when illegal immigration and certain immigration-related costs are present. Finally, we analyze a sequential game in which the host nation announces a contingent tariff schedule to induce the source nation to adopt emigration-deterring border enforcement. Under a credible commitment mechanism, the host nation can achieve a free-trade equilibrium with lower illegal immigration and higher welfare compared with the baseline equilibrium without contingent tariffs.]]>
</description>
<guid>https://fedinprint.org/item/fedlrv/103433</guid>
<dc:creator>Pinto, Santiago; Bandyopadhyay, Subhayu</dc:creator>
<dc:date>2026-06-24</dc:date>
<rdau:hasExtent>1-12</rdau:hasExtent>
<dc:subject>tariffs; imports; illegal immigration; international trade</dc:subject>
<bibo:volume>108</bibo:volume>
<bibo:issue>7</bibo:issue>
<identifiers:doi>10.20955/r.2026.07</identifiers:doi>
<bibo:series>Review</bibo:series>
</item>
<item>
<title>Banking Analytics: U.S. Banks Increase Treasury Securities Holdings in Q1</title>
<link>https://fedinprint.org/item/l00001/103432</link>
<description>
<![CDATA[U.S. banks added $65 billion in Treasury securities to their balance sheets during the first quarter of 2026, bringing total holdings to $1.8 trillion.]]>
</description>
<guid>https://fedinprint.org/item/l00001/103432</guid>
<dc:creator>Loesch, Kathryn</dc:creator>
<dc:date>2026-06-25</dc:date>
<dc:subject>Treasury securities; bank assets</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>Living in Infamy: Bad Reputations in Emerging Markets</title>
<link>https://fedinprint.org/item/fedlwp/103431/original</link>
<description>
<![CDATA[We present a model of sovereign borrowing in the presence of default risk and asymmetric information. Optimizing sovereigns come in two persistent types with different levels of patience and hence different proclivities to default and borrow. In a stylized model, we construct a pooling equilibrium that is 'infamous' in the sense that the patient sovereign is constrained to borrow like the impatient sovereign on the equilibrium path. We argue that this provides an explanation for the observed lack of private capital markets for many low- and middle-income countries, and use the model to evaluate proposed policy interventions aimed at building a good reputation for such countries.]]>
</description>
<guid>https://fedinprint.org/item/fedlwp/103431/original</guid>
<dc:creator>Stangebye, Zachary; Wright, Mark L. J.</dc:creator>
<dc:date>2026-06-15</dc:date>
<rdau:hasExtent>58 pages</rdau:hasExtent>
<dc:subject>sovereign debt; sovereign default; market access</dc:subject>
<swpo:hasNumber>2026-012</swpo:hasNumber>
<identifiers:doi>10.20955/wp.2026.012</identifiers:doi>
<bibo:series>Working Papers</bibo:series>
</item>
<item>
<title>Explaining the Federal Reserve’s Master Accounts</title>
<link>https://fedinprint.org/item/l00100/103425</link>
<description>
<![CDATA[Master accounts have long been the gateway for depository institutions to access Fed financial services, such as electronically transferring funds and distributing cash.]]>
</description>
<guid>https://fedinprint.org/item/l00100/103425</guid>
<dc:creator>Brennan, Vincent</dc:creator>
<dc:date>2026-06-24</dc:date>
<dc:subject>Federal Reserve Financial Services; Federal Reserve master accounts</dc:subject>
<ebucore:publicationChannel>Open Vault</ebucore:publicationChannel>
</item>
<item>
<title>The Mortgage Borrower Who Can’t Fail and the One Who Can’t Win</title>
<link>https://fedinprint.org/item/l00001/103424</link>
<description>
<![CDATA[Why do first-time buyers face higher mortgage denial rates than those buying a second house? This analysis examines the structural market forces that shape access to credit.]]>
</description>
<guid>https://fedinprint.org/item/l00001/103424</guid>
<dc:creator>García, Manu; Garriga, Carlos</dc:creator>
<dc:date>2026-06-23</dc:date>
<dc:subject>homebuyers; mortgage denials; access to credit</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>It’s (Still) the Business Cycle: Young Adult Workers in a “Low-Hire, Low-Fire” Labor Market</title>
<link>https://fedinprint.org/item/l00001/103408</link>
<description>
<![CDATA[A look at job openings, employment-to-population ratios and other metrics helps quantify the impact of a ‘low-hire, low-fire’ labor market on young workers.]]>
</description>
<guid>https://fedinprint.org/item/l00001/103408</guid>
<dc:creator>Kassens, Alice; Rodgers, William M.</dc:creator>
<dc:date>2026-06-22</dc:date>
<dc:subject>young adult workers; recent college graduates; labor market weakness; employment-to-population ratio; job vacancies; unemployment</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>Challenges and Strategies for Expanding Apprenticeships in the St. Louis Region</title>
<link>https://fedinprint.org/item/l00100/103409</link>
<description>
<![CDATA[Learn how apprenticeships are expanding in the St. Louis region and why they are key to addressing workforce needs and improving career pathways for local talent.]]>
</description>
<guid>https://fedinprint.org/item/l00100/103409</guid>
<dc:creator>Chalise, Nishesh; Panth, Neelu</dc:creator>
<dc:date>2026-06-17</dc:date>
<dc:subject>apprenticeships; Federal Reserve District, 8th; workforce development</dc:subject>
<ebucore:publicationChannel>Open Vault</ebucore:publicationChannel>
</item>
<item>
<title>Banking Analytics: Lower Asset Yields Squeeze Bank Interest Margins in Q1</title>
<link>https://fedinprint.org/item/l00001/103407</link>
<description>
<![CDATA[U.S. banks’ net interest margin declined to 3.22% in the first quarter of 2026 from 3.30% in the fourth quarter of 2025. Learn what’s behind the decrease.]]>
</description>
<guid>https://fedinprint.org/item/l00001/103407</guid>
<dc:creator>Baer, Julianne</dc:creator>
<dc:date>2026-06-18</dc:date>
<dc:subject>banking metrics; net interest margins</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>The Local-Spillover Decomposition of an Aggregate Causal Effect</title>
<link>https://fedinprint.org/item/fedlrv/103392</link>
<description>
<![CDATA[This article presents a method to decompose the causal effects of U.S. defense spending on income into a local effect and a spillover effect using panel data. We estimate positive local and spillover multipliers. By construction, the sum provides an estimate of the aggregate multiplier, which is slightly greater than one in our benchmark specification. Using disaggregate data improves precision relative to using aggregate data alone. More generally, we provide a template to conduct inference on local, spillover, and aggregate causal effects in a unified framework.]]>
</description>
<guid>https://fedinprint.org/item/fedlrv/103392</guid>
<dc:creator>McCrory, Peter B.; Dupor, Bill; Ebsim, Mahdi; Li, Jingchao; Conley, Timothy G.</dc:creator>
<dc:date>2026-06-05</dc:date>
<dc:subject>defense spending; local-spillover decomposition; panel data</dc:subject>
<identifiers:doi>10.20955/r.2026.06</identifiers:doi>
<bibo:series>Review</bibo:series>
</item>
<item>
<title>Declining Fertility Rates across the World</title>
<link>https://fedinprint.org/item/l00001/103391</link>
<description>
<![CDATA[The average number of births per woman—one factor affecting population growth—has been declining among both high-income and low-income countries for several decades.]]>
</description>
<guid>https://fedinprint.org/item/l00001/103391</guid>
<dc:creator>Vandenbroucke, Guillaume; Ravikumar, B.</dc:creator>
<dc:date>2026-06-09</dc:date>
<dc:subject>fertility; birth rates; global population; high-income countries; low-income countries</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>Real-Life Examples of Opportunity Cost</title>
<link>https://fedinprint.org/item/l00100/103362</link>
<description>
<![CDATA[How do we define opportunity cost? It’s the 'value of the next-best alternative when a decision is made; it's what is given up,' explains Senior Economic Education Specialist Andrea Caceres-Santamaria.]]>
</description>
<guid>https://fedinprint.org/item/l00100/103362</guid>
<dc:creator>Fagan, Doreen</dc:creator>
<dc:date>2026-06-03</dc:date>
<dc:subject>opportunity cost; decisionmaking</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>What 30 Million Applications Reveal about Mortgage Denial Thresholds</title>
<link>https://fedinprint.org/item/l00001/103361</link>
<description>
<![CDATA[A debt-to-income ratio of 43% was long considered to be a threshold for mortgage applicants. This analysis finds the true threshold is 50%.]]>
</description>
<guid>https://fedinprint.org/item/l00001/103361</guid>
<dc:creator>Garriga, Carlos; García, Manu</dc:creator>
<dc:date>2026-06-04</dc:date>
<dc:subject>mortgage denials; debt-to-income ratio</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>Tracking the Shift from Mortgage Refinancings to HELOCs</title>
<link>https://fedinprint.org/item/l00001/103356</link>
<description>
<![CDATA[HELOC use has surged broadly in recent years as homeowners seeking liquidity have pursued alternatives to refinancing low fixed-rate mortgages.]]>
</description>
<guid>https://fedinprint.org/item/l00001/103356</guid>
<dc:creator>Mori, Masataka; Sanchez, Juan M.</dc:creator>
<dc:date>2026-06-02</dc:date>
<dc:subject>home equity lines of credit (HELOCs); mortgage finance; refinancing</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>Measuring AI Adoption among Firms: How You Ask Matters</title>
<link>https://fedinprint.org/item/l00001/103354</link>
<description>
<![CDATA[Worker-based surveys find higher rates of AI adoption in the U.S. than in Europe. Yet firm-level surveys reveal the opposite. What is behind this difference?]]>
</description>
<guid>https://fedinprint.org/item/l00001/103354</guid>
<dc:creator>Blandin, Adam; Deming, David; Fuchs-Schündeln, Nicola; Jessen, Jonas; Bick, Alexander</dc:creator>
<dc:date>2026-06-01</dc:date>
<dc:subject>worker surveys; artificial intelligence (AI); technology adoption; firm-level surveys</dc:subject>
<ebucore:publicationChannel>On the Economy</ebucore:publicationChannel>
</item>
<item>
<title>Algorithms as Shadow Regulation: Secondary Market Access Overrides Home Buyer Credit Risk</title>
<link>https://fedinprint.org/item/fedlwp/103329/original</link>
<description>
<![CDATA[Using confidential HMDA data on 30 million purchase applications, we show how automated underwriting distorts credit allocation. We document a severe 7.5-percentage point jump in denials at the 50% debt-to-income threshold. This "cliff" is unique to Fannie Mae’s software, whereas Freddie Mac’s algorithm exhibits no matching friction. By exploiting institutional routing to isolate secondary market access as the causal mechanism, we find a stark price-quantity asymmetry: the interest rate penalty is a mere 3 basis points, yet the threshold suppresses $7.7 billion in conventional originations annually, diverting 40,000 households into higher-cost financing.]]>
</description>
<guid>https://fedinprint.org/item/fedlwp/103329/original</guid>
<dc:creator>García, Manu; Garriga, Carlos</dc:creator>
<dc:date>2026-05-29</dc:date>
<rdau:hasExtent>60 pages</rdau:hasExtent>
<dc:subject>mortgage lending; debt-to-income ratio; automated underwriting; algorithmic decision-making; regression discontinuity</dc:subject>
<swpo:hasNumber>2026-011</swpo:hasNumber>
<identifiers:doi>10.20955/wp.2026.011</identifiers:doi>
<bibo:series>Working Papers</bibo:series>
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