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Additional Research Resources

The selected economic research data, code, and/or models on this page are from the Federal Reserve Bank of Cleveland’s publications, including working papers, Economic Commentaries, District Data Briefs, or external academic journal articles, published by one of our economists. The data are updated by the authors and are not an official product of the Federal Reserve Bank of Cleveland. They are subject to change without notice.

See also our official indicators and data.

Topic Publication Title Summary Data Frequency Bank Author
Labor economics Advance Layoff Notices and Aggregate Job Loss We collect data from advance layoff notices filed under the Worker Adjustment and Retraining Notification (WARN) Act in the United States. We aggregate these data into an unbalanced, monthly panel of the state-level number of workers affected by WARN notices. We also aggregate this panel to a national-level indicator of job loss (the “WARN factor”) using a dynamic factor model. openICPSR Twice per month Pawel Krolikowski
&
Kurt Lunsford
Inflation Indirect Consumer Inflation Expectations We provide an indirect way of measuring consumer inflation expectations: Given consumers’ expectations about developments in prices of goods and services during the next 12 months, we ask them how their incomes would have to change to make them equally well-off relative to their current situation such that they could buy the same amount of goods and services as they can today. We report indirect consumer inflation expectations weekly for the US and monthly across 15 other countries. CEBRA Weekly US measures and monthly international measures Ina Hajdini,
Edward S. Knotek II,
&
Robert Rich
Econometrics, modeling, and forecasting; Business cycles Reconciled Estimates of Monthly GDP in the US We provide reconciled historical estimates of “true” GDP at a monthly frequency. This is achieved using a Bayesian mixed frequency vector autoregression (MF-VAR) involving GDP on the expenditure- (GDPE) and income-sides (GDPI), unobserved true GDP, and monthly indicators of short-term economic activity. openICPSR Monthly James Mitchell
Recessions, Econometrics, modeling, and forecasting; State and local economies  Regional Economic Sentiment: Constructing Quantitative Estimates from the Beige Book and Testing Their Ability to Forecast Recessions We use natural language processing methods to quantify the sentiment expressed in the Federal Reserve's anecdotal summaries of current economic conditions in the national and 12 Federal Reserve District-level economies as published eight times per year in the Beige Book since 1970. openICPSR Each 6-8 weeks, following Beige Book Publication Christian Garciga
&
James Mitchell
Monetary policy Strained Relations, US Foreign-Exchange Operations and Monetary Policy in the Twentieth Century This project traces the evolution of US policies regarding foreign-currency market interventions and their interactions with US monetary policy from the Second Bank of the United States to their demise in early 2000s. Federal Reserve System and US Treasury Foreign Exchange Transactions 1961 – 1997 No updates planned Owen F. Humpage
Econometrics, modeling, and forecasting; Economic growth We provide estimates of trend labor productivity growth in the US nonfarm business sector over the postwar period. This is achieved using a Markov regime-switching model that allows productivity to alternate between a high- and low growth regime. We also provide probabilistic assessments of the likelihood of being in the low-growth regime as well as forecasts of productivity growth over a five-year horizon. Trend Productivity Update Twice per quarter Robert Rich
Urban economic conditions; State and local economies Urban and Regional Migration Estimates This project provides two sets of estimates for the major US metro areas. The first measures net migration to and from urban neighborhoods. The second breaks down net migration to other regions by four region types: (1) high-cost metros, (2) affordable, large metros, (3) midsized metros, and (4) small metros and rural areas. openICPSR Quarterly Stephan Whitaker