Search Results
Speech
Communicating a systematic monetary policy
Society of American Business Editors and Writers Fall Conference, City University of New York (CUNY) Graduate School of Journalism. New York, NY. President Charles Plosser gives his views on the regional and national economy and discusses why he remains optimistic about the economic outlook. He also shares his thoughts about monetary policy and explains why he departed from the majority view at the July and September FOMC meetings.
Briefing
Creating Data Citation Templates for Economics
Copy and paste citation tools exist for traditional academic publication types from places like Citation Machine or Google Scholar, but similar plugins for datasets are scarce. In response, the Federal Reserve Bank of Kansas City built a data citation template for all acquired proprietary data sources and selected open data sources to allow economists to copy and paste data citations into their preferred word processing program.
Discussion Paper
Monetizing Privacy with Central Bank Digital Currencies
In prior research, we documented evidence suggesting that digital payment adoptions have accelerated as a result of the COVID-19 pandemic. While digitalization of payment activity improves data utilization by firms, it can also infringe upon consumers’ right to privacy. Drawing from a recent paper, this blog post explains how payment data acquired by firms impacts market structure and consumer welfare. Then, we discuss the implications of introducing a central bank digital currency (CBDC) that offers consumers a low-cost, privacy-preserving electronic means of payment—essentially, digital ...
Discussion Paper
A New Public Data Source: Call Reports from 1959 to 2025
Call Reports are regulatory filings in which commercial banks report their assets, liabilities, income, and other information. They are one of the most-used data sources in banking and finance. In this post, we describe a new dataset made available on the Federal Reserve Bank of New York’s website that contains time-consistent balance sheets and income statements for commercial banks in the United States from 1959 to 2025.
Will Digital Wallets Replace Cash?
Dialogue with the Fed attendees hear about the opportunities and challenges involved with digital wallets like Venmo.
Discussion Paper
A New Dataset for Consumer Spending in the New York Fed EHIs
We are enhancing our set of Economic Heterogeneity Indicators (EHIs) by adding a set of metrics on consumer spending with data presented by income, education, race and ethnicity, age, and urban status. The data will help track the evolution of aggregate behavior by analyzing the spending of specific groups in a more timely manner than is possible using public surveys.
Journal Article
Federal Reserve: Good Data is Hard to Find
Fed officials frequently describe their monetary policy decisions as data dependent. As the central bank has navigated the recovery from the COVID-19 pandemic, a common refrain in its policy statements is that the Federal Open Market Committee (FOMC) will "carefully assess incoming data, the evolving outlook, and the balance of risks" when considering further adjustments."We are looking at the data to guide us in what we should do," Fed Chair Jerome Powell said at the press conference following the FOMC's meeting at the end of January.The demand for data in economics as a whole has only grown ...
Discussion Paper
Insights from Newly Digitized Banking Data, 1867-1904
Call reports—regulatory filings in which commercial banks report their assets, liabilities, income, and other information—are one of the most-used data sources in banking and finance. Though call reports were collected as far back as 1867, the underlying data are only easily accessible for the recent past: the mid-1980s onward in the case of the FDIC’s FFIEC call reports. To help researchers look farther back in time, we’ve begun creating a complete digital record of this “missing” call report data; this data release covers 1867 through 1904, the bulk of the National Banking Era. ...
Working Paper
Evaluating Local Language Models: An Application to Bank Earnings Calls
This study evaluates the performance of local large language models (LLMs) in interpreting financial texts, compared with closed-source, cloud-based models. We first introduce new benchmarking tasks for assessing LLM performance in analyzing financial and economic texts and explore the refinements needed to improve its performance. Our benchmarking results suggest local LLMs are a viable tool for general natural language processing analysis of these texts. We then leverage local LLMs to analyze the tone and substance of bank earnings calls in the post-pandemic era, including calls conducted ...