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Graphing GDP components with our new release view

FRED makes it easy to create a stacked area graph of GDP components using our new release view feature:

How this graph was created: Navigate to the gross domestic product release page using the “Releases” link on the FRED homepage. Choose “Gross Domestic Product” (page 2) and then click on the “Section 1 – Domestic Product and Income” release link. Select Table 1.1.5 and then select the “Quarterly” series (they’re all quarterly). Now you have reached the components of GDP, and the page will look like this:

Screenshot from 2014-11-20 15:13:17

From here, you can easily see the components of GDP as a hierarchy with the latest value, the previous period’s value, and the value from a year ago. Check the boxes next to personal consumption expenditures, gross private domestic investment, net exports of goods and services, and government consumption expenditures and gross investment. Then click the “Add to Graph” button.

You’ll see a line graph of the four series. Under the graph tab, expand the “Graph Settings” menu. Change the graph type to “Area” and the stacking to “Normal.” Finally, so that net exports are easier to see, expand the menu for that series and click the “move down” button.

Suggested by Keith Taylor

View on FRED, series used in this post: GCE, GPDI, NETEXP, PCEC

Measuring labor costs

Some economic analysts are looking for signs of faster wage growth (labor costs). In their view, faster wage growth is a sign of building inflation pressures. In October’s employment report (released Nov. 7), average hourly earnings of production and nonsupervisory employees on private nonfarm payrolls rose by only 2.2 percent over the past 12 months. A rather modest increase. Although closely followed, this series excludes most employee benefits, such as employer-paid health insurance and retirement benefits.

Broader measures that better account for these benefits include the employment cost index (ECI) and compensation per hour (CPH) in the business sector, both published by the Bureau of Labor Statistics. In the third quarter of 2014, the ECI increased by 2.3 percent over the past four quarters, while the CPH increased by 3.1 percent. But these two series are also incomplete: The reason is that businesses tend to care more about unit costs: that is, costs of labor and non-labor inputs adjusted for productivity changes. For example, if compensation is increasing solely because of faster gains in worker productivity, then unit labor costs will be unchanged and a firm’s profit margins will be largely unaffected. This can be seen in the graph. After the past recession, compensation per hour was increasing, but because labor productivity was increasing by a larger amount, unit labor costs were falling.

In the productivity and costs report released earlier this month, the Bureau of Labor Statistics reported that unit labor costs in the business sector had increased by 2.4 percent in the third quarter from a year earlier. The modest acceleration in unit labor costs over the past three quarters reflects, on net, slower growth in labor productivity and slightly faster growth in compensation per hour.

How this graph was created: Search for “Nonfarm Business Sector: Unit Labor Cost.” In the “Edit Data Series” function, change the units to “Percent Change from a Year Ago.” Repeat the process by adding these series: “Nonfarm Business Sector: Compensation Per Hour” and “Business Sector: Real Output Per Hour of All Persons” (labor productivity).

Suggested by Kevin Kliesen

View on FRED, series used in this post: HCOMPBS, OPHPBS, ULCBS

Federal, state, and local expenditures

The graph above uses U.S. national income and product account data to show three shares of government expenditures—state and local, federal defense, and federal nondefense—among total government expenditures. Note that this covers only government consumption and investment, not redistribution. These NIPA data start only in 1999, but we can still see some changes, in particular that the share of state and local government expenditures has become smaller.

The graph below shows exactly the same data but in a different way. It displays the absolute numbers instead of shares. State and local government expenditures have increased slightly, while federal expenditures have increased much more.

How these graphs were created: Search for “Real Government Consumption Expenditures & Gross Investment,” select the relevant series, and add them to the graph. In the graph settings, set type to “Area” and stacking to “Percent.” For the second graph, set type to “Bar” and stacking to “None.”

Suggested by Christian Zimmermann

View on FRED, series used in this post: A824RX1Q020SBEA, A825RX1Q020SBEA, SLCEC96

Transportation indexes

FRED recently added a set of transportation services indexes from the U.S. Department of Transportation. The freight index covers all domestic transport of commercial freight, including pipeline movements for oil and gas. It does not cover in-house trucking, courier, or postal services. The passenger index covers local public transportation (except taxi) and intercity rail and air transportation. (The FRED Blog previously discussed miles traveled, which covered personal transportation by automobile.) The graph shows freight transportation declining more than passenger transportation during the past recession; in the previous recession, passenger transportation suffered more.

How this graph was created: Look up the Transportation Services Index (TSI) and select the three indexes.

Suggested by Christian Zimmermann

View on FRED, series used in this post: TSIFRGHT, TSIPSNGR, TSITTL

Renting and owning homes

It should not surprise anyone that the homeownership rate has declined nationwide in the most recent years after a large number of foreclosures. Many former homeowners must have moved into rental units, pushing down the rental vacancy rate, as seen in the graph. What is surprising is that the homeowner vacancy rate is actually declining as well. How could this happen? Was the housing stock significantly reduced? Did homeowners become renters of the same home? Has there been significantly more household creation? Anything else?

How this graph was created: Search for one of these series, then add the other. For the homeownership rate, check “right” for the Y-axis position.

Suggested by Christian Zimmermann

View on FRED, series used in this post: RHVRUSQ156N, RRVRUSQ156N, USHOWN


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