Federal Reserve Economic Data

The FRED® Blog

Job volatility among races

This graph traces employment over the past 43 years for three categories of people: Black, Hispanic, and White. Specifically, the graph shows the percentage of these groups who are employed. Each group’s employment follows basically the same general trend line, at different levels, but we can see some clear differences.

White employment has been the least volatile—that is, least likely to change rapidly or unpredictably from point to point. Black employment and Hispanic employment are not as steady; and, until recently, Hispanic employment has been especially volatile. These sharp upturns and downturns for Hispanic and Black workers mean they are hired more quickly but are also fired more quickly.

Besides becoming less volatile, Hispanic employment has closed the gap with White employment: It had generally been between White and Black employment, but since 2000 it has most often been at the top. Black employment, however, has consistently maintained a gap of 5-10% compared with White employment.

Look to FRASER, FRED’s sibling site, for a deeper examination of historical demographics related to employment: The statistical publications “Employment and Earnings” (1954-2007) and “Women in the Labor Force: A Databook” (2004-2010) are good examples. The latter focuses mainly on differences between the sexes, but also provides statistical tables that relate to race, including one on multiple jobholders.

How this graph was created: Search for “Employment-Population Ratio” and then “Black,” “Hispanic,” and “White.”

Suggested by Emily Furlow.

View on FRED, series used in this post: LNS12300003, LNS12300006, LNS12300009, LNU02300009

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

CPI component volatility

Most people recognize the CPI (consumer price index) as a common measure of U.S. inflation. But the CPI sometimes seems at odds with the personal experiences of some consumers, who often point out that particular goods have become more expensive than the CPI seems to imply. This incongruity occurs mostly because the CPI is an index that covers many products; the variations in prices are averaged out when forming the aggregate CPI. Case in point: We show here how price fluctuations increase as the range of products narrows. The graph shows the inflation rate for the CPI covering all items (blue line), which is quite stable. But compare this with energy prices (red line), which fluctuate wildly. Narrow down energy prices to just gasoline (green line) and you find even more volatility. CPI data even include particular types of gasoline for particular regions, which display even more volatility (purple line). It is true that the volatility of energy prices is most stark, but similar trends do appear for other categories as well.

How this graph was created: Search for the various series and add them to a graph. Change each series to “Percent Change from Year Ago” and adjust the sample to eliminate the years where only the all-items CPI was available.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: CPIAUCSL, CPIENGSL, CUSR0000SETB01, CUUR0300SS47015


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