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Capacity utilization

Economists are always looking for ways to better understand and predict the business cycle. Studying capacity utilization can help. Capacity is the maximum volume of productive resources that can be used by firms to produce goods. Capacity utilization is how much of that available capacity is actually being used to produce goods. The capacity index tries to measure the utilization rate of the available productive capacity in different sectors. It sheds light on how much more output firms could produce without adding additional capital stock (structures, machinery, etc.) to the economy. As we can see in the graph, capacity utilization is very volatile in general, especially for the manufacturing sectors, declining sharply during recessions. In particular, capacity utilization for durable-goods manufacturing drops more than for nondurable-goods manufacturing. However, the mining sector and utility sector tend to have a significantly higher capacity utilization rate on average than the manufacturing sectors. In fact, capacity utilization in the manufacturing sectors often starts to decline just before a recession starts; so, the manufacturing sector’s capacity utilization could be a useful leading indicator of a downturn.

How this graph was created: Search for and select “Total Industry Capacity Utilization (TCU).” Then, from the “Edit Graph” panel, use the “Add Line” feature to search for and select the rest of the series, clicking “Add data series” for each.

Suggested by Brian Reinbold and Yi Wen.

View on FRED, series used in this post: CAPUTLG21S, CAPUTLG2211A2S, CAPUTLGMFDS, CAPUTLGMFNS, MCUMFN, TCU

Japan’s anti-retirement miracle

The graph above shows real GDP growth for two countries, Japan and the United States. It’s pretty clear the U.S. growth rate has consistently been higher than Japan’s. (Recently, there have been only a few quarters where Japan has higher growth.) But can we really compare these two growth rates? One important difference between the two countries is that the U.S. population is growing while Japan’s is stagnant, if not declining.

The second graph shows GDP growth adjusted by the working age population—that is, the growth rate of GDP less the growth rate of the working age population. Now the story is different: Japan performs better than the U.S. in most quarters.

How does Japan do it? One way is through increasing its labor force participation, which the third graph shows. More women in Japan have joined the labor force, and more older people are staying in the labor force. This latter point is especially important for Japan, which has one of the oldest populations (if not the oldest) in the world.

How these graphs were created: For the first graph, search for Japan real GDP, select the series, and click on “Add to Graph.” From the “Edit Graph” panel, add a line by searching for “real GDP,” select as units “percent change from previous year,” and click “Apply to all.” For the second graph, take the first and for each line add a series by searching for “working age population 15-64,” choose units “percent change from previous year,” and apply formula a-b. For the third graph, search for “employment rate 15-64” and the two series should be among your top choices. For all graphs, adjust the sample period to start when both series are available.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: GDPC1, JPNRGDPEXP, LFWA64TTJPM647S, LFWA64TTUSM647S, LREM64TTJPA156N, LREM64TTUSM156S

Which workers quit more?

Obviously, workers move from job to job over time and across sectors of the economy. FRED has some convenient release tables you can use to create a graph like the one above, which shows the rate of voluntary turnover (quits) for workers in four sectors: accommodation and food services, retail trade, manufacturing, and government. It’s striking that the ranking of these sectors doesn’t change despite variations in their levels of employment over time.

The consistency of these and other sectors becomes even more striking once you strip out the seasonal adjustments, as in the graph below, created with another convenient release table. In fact, seasonal variation seems to be stronger than variation caused by the business cycle. For example, people quit more when the unemployment rate is lower.

If we look closely, we can see some details: It’s remarkable that, on a regular basis, monthly quits in accommodation and food services represent about 5% of that workforce. And, in both graphs, the government sector consistently has the lowest quit rate. Given the right circumstances, of course, even consistent patterns can change.

How these graphs were created: Go to the release tables noted above, select the series you want displayed, and click “Add to Graph.”

Suggested by Christian Zimmermann.

View on FRED, series used in this post: JTS3000QUR, JTS4400QUR, JTS7200QUR, JTS9000QUR, JTU3000QUR, JTU4000QUR, JTU510099QUR, JTU7200QUR, JTU9000QUR


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