Federal Reserve Economic Data

The FRED® Blog

The volatility of GDP’s components

The four components of GDP—investment spending, net exports, government spending, and consumption—don’t move in lockstep with each other. In fact, their levels of volatility differ greatly. We can observe this in FRED by graphing the annual percent changes of each component. Investment (solid red) and net exports (solid yellow) are extremely volatile, varying greatly during economic contractions and expansions. In contrast, government spending (dashed blue) and consumption (dashed green) are highly stable; although they also vary with the business cycle, they do so to a much smaller extent. This pattern can be important for the effectiveness of monetary policy. According to economic textbooks, when the Fed lowers interest rates, investment spending and U.S. exports become cheaper, all else being equal. So, when the Fed lowers rates, it affects the two variables that disproportionately contribute to any given change in GDP.

How this graph was created: Add all of the series listed below to one graph with the “Add Data Series” function. Set their units to “Percent Change from Year Ago.” Use the “Line Style” option to give solid lines to the first two series and dashed lines to the last two and set “Line Width” to 1 for all four. Finally, take advantage of the “Color” option for each series to color the lines as you wish.

Series used in this post: GPDIC1, NETEXC, PCECC96, GCEC96.

Suggested by Ian Tarr.

View on FRED, series used in this post: GCEC96, GPDIC1, NETEXC, PCECC96

Stress test indicators

Screenshot from 2015-07-15 13:11:20
Click on image to get to dashboard

Sometimes you need to consider an assortment of data, and FRED’s dashboard tool lets you assemble and simultaneously view multiple economic variables. For example, the image above links to a dashboard of “stress test” indicators that help the Fed assess the resilience of banking institutions. As part the Dodd-Frank Wall Street Reform and Consumer Protection Act, the Fed crafts hypothetical economic scenarios (e.g., a spike in interest rates or a sharp contraction in GDP) and then analyzes banks to see how they would hold up. To learn more about the Fed’s stress test methods, click here.

How this dashboard was created: Go to the Fed’s stress test website, which is linked above, to see the variables used. Search for these stress test variables (or close equivalents) in FRED. Create each graph and then select “Save Graph.” If you have a FRED account, you will be prompted to log in. If you do not, you must create an account. Once you’ve saved as many graphs as you’d like, go to “My Dashboards” and click the “Create” button. To add the saved graphs, use the “Saved Graphs” option under “Add Widget.” If you are logged into your FRED account, you can save a copy of the dashboard to your account and then customize it. To learn more about FRED dashboards, click here.

Suggested by Ian Tarr.

Inflation’s dual cores

According to the Bureau of Labor Statistics, U.S. core inflation (i.e., excluding food and energy) is about 1.75%. Overall inflation measures combine the prices of both goods and services, but these two categories do not always behave in the same way. The graph above shows annual changes in the consumer price index for core services (purple) and core commodities (red). For about three years after the end of the recession, prices for goods and services changed at about equal rates. But the inflation environment has become a bit more complex in recent years: In 2012, growth in commodities prices began to slow and eventually turned negative. In contrast, prices for services have continued to grow at close to 2.5%.

How this graph was created: Add the two series listed below and use the “Graph Settings” option to set “Graph type” to “Bar.” Make sure that “Stacking” is listed as “None.” Then set “Units” to “Percent Change from Year Ago” for each series. Change “Frequency” to “Quarterly” and “Aggregation Method” to “End of Period.”

Suggested by Ian Tarr.

View on FRED, series used in this post: CUSR0000SACL1E, CUSR0000SASLE


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