We produce a wide range of publications that share the latest data, analysis, and insights from various teams at the SF Fed. Our publications help inform and strengthen public understanding of economic issues and its impact on people and communities.
Economic Research Publications
FRBSF Economic Letter >
Economic analysis for general audiences
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AI-Powered Algorithmic Pricing and Monetary Policy
The business practice of adjusting prices using algorithms powered by artificial intelligence—known as AI pricing—has grown rapidly and spread across many sectors in the economy. Unlike traditional price setting, AI pricing uses predictive analysis of large data sets to incorporate real-time changes in supply and demand conditions into pricing decisions. This enables businesses to adjust prices more quickly in response to unexpected changes in market conditions and monetary policy. Industry-level evidence suggests that price adjustments are more sensitive to monetary policy in sectors where AI pricing is more prevalent.
SF FedViews >
Analysis of current economic developments and the outlook
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SF FedViews: Volatile Oil Markets Cloud the Economic Outlook
Adam Shapiro, vice president at the Federal Reserve Bank of San Francisco, shared views on the current economy and the outlook from the Economic Research Department as of April 16, 2026.
Working Papers >
The latest in economic research
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Measuring Inflation Shock Momentum
We develop a non-parametric filter that identifies sustained directional runs in shocks to monthly inflation—a concept we define as “inflation shock momentum.” By assessing the shocks to over 100 disaggregated Personal Consumption Expenditures (PCE) inflation categories, we isolate the share of categories experiencing positive or negative inflation shock momentum in a given month. We define […]
Community Engagement and Analysis Publications
Community Development Articles>
Short-form insights on key community development topics, informed by research and engagement in the 12th District.
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Understanding the Evolving AI Landscape and Its Implications for Community Development
The latest Community Investments series examines the evolving landscape of AI and its implications for community development. This article summarizes the range of topics and stakeholders explored in this issue.
Community Development Research Briefs >
Research briefs feature data and commentary on community development trends and issues.
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On-the-Job Exposure to AI Among Lower-Income Workers
To better understand the potential impacts of AI on the economy, this analysis assesses workers likely to be exposed to AI on the job, paying particular attention to workers in lower-income households, what occupations and industries they work in, and how exposure varies across different parts of the country.
Community Development Working Papers >
Working papers provide in-depth analysis of emerging community development issues from practitioners and scholars.
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Housing Market Interventions and Residential Mobility in the San Francisco Bay Area
Limited evaluation research exists on which housing solutions are most effective in stabilizing communities so that those who wish to stay are able to do so in the midst of an influx of newcomers. This study seeks to fill this gap by assessing patterns of individual and household mobility related to specific housing interventions in the nine-county San Francisco Bay Area. Specifically, this study examines impacts of market-rate and subsidized development, and tenant protections, including rent stabilization and just cause for evictions protections.