In today's data-driven world, efficiency and accuracy in economic analysis are paramount. The FRED Add-In for Microsoft Excel is an indispensable tool for professionals and researchers, offering a seamless integration with Excel that unlocks access to an extensive database of over 820,000 data series from esteemed sources. This powerful plugin not only streamlines the process of collecting and organizing macroeconomic data but also enhances productivity with features like one-click downloads, instant data refresh, and sophisticated data conversion and analysis capabilities. On this page, we'll explore the essentials of Fred Economic Data, the transformative plugins connecting Fred to Excel, their common use cases, and we'll address frequently asked questions to ensure you harness the full potential of these tools.
FRED, short for Federal Reserve Economic Data, is an extensive online database that aggregates economic data time series from a variety of national and international, public and private sources. It comprises hundreds of thousands of time series, which are meticulously maintained by the Research Department at the Federal Reserve Bank of St. Louis. This platform serves as a crucial source for economic data, with over two million users annually accessing FRED from nearly every country around the globe.
The database includes a subsidiary called ALFRED, which stands for ArchivaL Federal Reserve Economic Data. ALFRED specializes in capturing and preserving vintage data, which is essentially economic data that has undergone revisions over time. This allows users to observe and analyze how data points have been updated and to understand the historical context of these changes.
FRED's inception in 1991 has led to the accumulation of 823,000 time series from 114 different sources. The service offers a wide array of data, including, but not limited to, banana prices, the U.S. / Euro Foreign Exchange Rate, the Unemployment Rate, the Consumer Price Index, the 10-Year Treasury Constant Maturity Rate, the Industrial Production Index, Nonfarm Payrolls, initial claims, and reverse repurchase agreements. This data encompasses both international and U.S. statistics, making FRED a comprehensive tool for economic analysis.
The FRED Add-In offers free access to an extensive repository of over 820,000 data series, providing a wealth of information for economic analysis.
With the FRED Add-In, users can download economic time series data into their spreadsheets with a single click, streamlining the data collection process.
The add-in allows for immediate refreshes and updates, ensuring that spreadsheets reflect the most current data available without manual intervention.
Users can instantly convert data frequencies and calculate growth rates, enhancing the flexibility and analytical capabilities of their economic models within Excel.
The FRED add-in is available in the Microsoft store and can be installed from the Insert tab in Excel.
No, the software is free.
The Add-In offers access to over 820,000 data series from various sources like BEA, BLS, Census, and OECD.
Yes, users can instantly refresh and update spreadsheets with new data using the FRED Add-In.
There is a User Guide for additional information on the add-in's functionality, and inquiries about FRED data can be sent via email with a response expected within two business days.
In conclusion, the FRED Add-In for Excel revolutionizes the way users access and analyze macroeconomic data by leveraging over 820,000 data series from respected sources. The ease of one-click downloads, coupled with advanced features like data frequency conversion and growth rate calculations, empowers users to make informed decisions. The add-in not only saves time but also enhances the accuracy of data analysis with its robust capabilities. However, if you want to streamline the process even further, consider bypassing the plugin by using Sourcetable. Sourcetable allows you to import data directly into your spreadsheets, simplifying your workflow. Sign up for Sourcetable today to get started and unlock the full potential of your data analysis.