Announcements

It seems like only yesterday that ALFRED, our source for vintage data, decided to steal…er…we mean imitate FRED’s look. Well, ALFRED has gone and done it again. So, to repeat ourselves: “If you know how to use FRED to visualize and download the latest data, you know how to use ALFRED to visualize specific vintages of those data.” Here’s an example of a graph showing the recent GDP revisions:

The FRED monthly database for macroeconomic research (FRED-MD) now includes the July 2016 vintage. This database, designed for the empirical analysis of “big data,” is described in detail in a St. Louis Fed working paper by Michael W. McCracken and Serena Ng.

FRED has added an additional 203 annual and quarterly series from the Labor Productivity and Costs dataset published by the Bureau of Labor Statistics. These data are broken down into business, nonfarm business, nonfinancial corporations, and manufacturing for the United States.

FRED has added 127 series from the Three Centuries of Macroeconomic Data research project published by the Bank of England. These data cover national accounts and other financial and macroeconomic data in the United Kingdom going back to the late 17th century.

FRED has added 987 annual World Development Indicators series originally published by the World Bank. The data cover a multitude of indicators spanning from inflation rates to population levels for both individual nations and transnational regions. The information in FRED includes notes that outline which nations are included in the transnational data published and a brief explanation about what the indicators measure.

The FRED monthly database for macroeconomic research (FRED-MD) now includes the June 2016 vintage. This database, designed for the empirical analysis of “big data,” is described in detail in a St. Louis Fed working paper by Michael W. McCracken and Serena Ng.

FRED has added 808 quarterly series covering credit to the non-financial sector, originally published by the Bank for International Settlements. The data cover credit to areas such as households, non-profit institutions serving households, and the general government. The data are published in domestic currencies, U.S. dollars, and percentage of GDP. Notes have been added relating to the source of the credit.