Federal Reserve Economic Data: Your trusted data source since 1991

The FRED® Blog

Has wage growth been slower than normal in the current business cycle?

You may have read in the popular press that wage growth seems much slower since the Great Recession compared with previous business cycles. Let’s see what FRED data can tell us. The graph above shows wage growth, defined as the annualized percentage change in the average hourly earnings of private production and nonsupervisory employees. To interpret the graph, note the gray bars, which indicate recessions since 1976, and the green vertical lines, which indicate the peaks of each business cycle. A generally U-shaped pattern occurs between the starts of consecutive recessions. At the start of a recession, the rate of wage growth falls for a number of months, then the trend is reversed as wages increase until the next recession, and the cycle repeats.

To better compare how wages behave across business cycles, we graph the wage behavior observed for each of the prior three business cycles and the current business cycle together. Each cycle is centered at zero, which denotes the month with the lowest wage growth for each business cycle. The current business cycle is identified by the purple line. This cycle started at a lower level of wage increases than the prior three cycles. More importantly, the wage increase from the low point has been following a lower trend: In prior cycles, wage increases exceeded 4%; the current cycle’s wage increases still have yet to reach 3%.

In a future blog post, we’ll look into possible reasons why the current business cycle’s wages have been increasing much more slowly.

How these graphs were created (plus some background): For the first graph, search for wages and select “Average Hourly Earnings of Production and Nonsupervisory Employees: Total Private.” From the “Edit Graph” panel, change the units to “Percent Change from a Year Ago.” The business cycles can be accented by adding green lines to the graph corresponding to each peak using the “Create user-defined line” option under the “Add Line” tab. For the second graph, change the units to “Index” and enter the date “1986-12-01.” This was the lowest point in wage growth for the associated business cycle, which had begun 65 months earlier and would last 43 months longer. To capture the entire business cycle with monthly data, check the “Display integer periods…” box and set the range from -65 to 43. If the units under the “Customize data” tab are changed to “Percent Change from a Year Ago,” the resulting graph shows the section of the first graph from July 1981 to July 1990. While this same result could have been achieved more easily by changing the date range of the original graph, an advantage of this approach is that it allows the same series to be plotted from multiple separate date ranges. Use the “Add Line” tab to add this same series to the graph four times. The options for each line will be the same as those for the first line, except that the custom index date and length of the date range will be different: A second low point occurred in September of 1992, 26 months into a cycle that would last 102 months longer, and the next in January 2004, 35 months into a cycle that would last 46 months longer. The present cycle had its low point 58 months in, during October 2004, and the end date of the cycle has yet to be determined. One way to resolve this problem is to set an unnecessarily high integer end date, like 200. FRED will then automatically fill in the latest available data.

Suggested by Ryan Mather and Don Schlagenhauf.

View on FRED, series used in this post: AHETPI

Corporate profits versus labor income

Risk and reward versus slow and steady

This FRED graph shows the evolution of two sources of income in our national economy: the compensation of employees through wages and other salary compensation, and the compensation of capital through profits. Both series are adjusted for inflation and both start at the level of 100 in 1954, which is the first year that’s considered “post-war” for economic purposes. (NOTE: The economic impact of the Korean War has essentially vanished.)

Eyeballing the data leads to two major conclusions. First, corporate profits move a lot, especially in response to general business activity. Profits tend to tank during recessions (noted with gray bars), which is understandable. After all, it’s well understood that investing in a business is a risky undertaking that deserves and often acquires compensation. Employee income is much more stable, but still suffers during recessions. Second, the trends of the two series tend to track each other over several decades, reflecting the general growth of the economy. The past decade and a half seems to be different, though. Never have corporate profits outgrown employee compensation so clearly and for so long. Is it because there’s been a particularly risky climate for investment, or is something else afoot?

How this graph was created: From the release table about national income by type of income, check the two series and click on “Add to Graph.” From the “Edit Graph” panel, add a series by searching for and selecting “GDP deflator,” apply formula a/b, and finally set the index value of 100 to 1954-05. Repeat for the second line.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: CPROFIT, GDPDEF, WASCUR

Is there a skills gap in the South?

Mapping education and unemployment across the U.S.

Much research has been published on the labor market transition from low-skill and routine jobs to high-skill and non-routine jobs at both a national and a local level. But is this job polarization occurring to the same degree across the country? A recent report co-sponsored by the St. Louis Fed looks at the issue of workforce development in light of this changing economy, especially in southern regions of the U.S. that typically rely more on a low-skilled and low-wage labor force. These GeoFRED maps show that the southern states typically have lower levels of educational attainment for both high school (map above) and bachelor’s degrees (map below).

With a currently tight labor market, there’s demand for skilled workers, since these positions are also seeing the most growth. But for some regional economies, especially in southern states, there seems to also be an unmet demand for middle-skill jobs that require more than a high school education but not a four-year college degree.

The FRED graph below shows that the unemployment rate is lower for those with some college and/or an associate’s degree than (i) for those with only a high school diploma and (ii) the overall national unemployment rate.

The southern states trail the rest of the nation in median wages and there are more persistently poor counties in the south. There seems to be an opportunity, then, for investing in that workforce to create a better-skilled labor pool to help grow the regional economy.

How these maps were created: The original post referenced interactive maps from our now discontinued GeoFRED site. The revised post provides replacement maps from FRED’s new mapping tool. To create FRED maps, go to the data series page in question and look for the green “VIEW MAP” button at the top right of the graph. See this post for instructions to edit a FRED map. Only series with a green map button can be mapped. For the FRED graph, search for “civilian unemployment rate.” In the “Edit Graph” panel, add two lines by searching for “unemployment rate associate degree” (series ID LNS14027689) and “unemployment rate high school” (series ID LNS14027660).

Suggested by Shuowei Qin and Christian Zimmermann.

View on FRED, series used in this post: LNS14027660, LNS14027689, UNRATE


Subscribe to the FRED newsletter


Follow us

Back to Top