Federal Reserve Economic Data

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The high-tech trade balance

Importing and exporting U.S. aerospace, nuclear, and weaponry technology

The graph above shows FRED data on U.S. exports and imports of advanced technology products, which include the categories of advanced materials, aerospace, biotechnology, electronics, flexible manufacturing, information and communications technology, life sciences, optoelectronics, nuclear technology, and weapons. A report from the Brookings Institution noted that the advanced technology sector in the U.S. added $143 billion to GDP in 2013-15 and accounted for more than 20 percent of the growth of the economy. Despite the boost from this sector, the graph shows that the U.S. has turned from a net exporter to a net importer of these products. Now, these products are subject not only to market forces but also to export regulations and restrictions. Indeed, U.S. national interests prevent some technologies from being exported to some countries. In any case, this part of the trade deficit is minor compared with the total trade deficit, as shown in the graph below.

How these graphs were created: For the first graph, search for “advanced technology products,” which should give you the two series (exports and imports). Select them and click on “Add to Graph.” For the second graph, start with the first graph, but remove the imports series. Use the “Customize data” section to add that imports series to the first line (the exports series); then apply formula a-b. Add the second line to the graph by searching for and selecting “Trade Balance: Goods and Service, Balance of Payments Basis.”

Suggested by Christian Zimmermann.

View on FRED, series used in this post: BOPGTB, EXP0007, IMP0007

Checking up on hospital price inflation

Rising medical costs are not a foregone conclusion

Many people are concerned with the persistent rise in medical costs. But as long as medical services are delivered (for the most part) by people, economic theory tells us that rising costs are normal: As technological progress makes the production of goods less expensive, the production of services becomes comparatively more expensive. Of course, technological progress can also occur with the delivery of services. A good example is the introduction of ATMs, which have dramatically reduced the cost of simple bank transactions.

The delivery of medical care has not (yet) seen such cost-saving technological advances; hence, its relative costs continue to generally increase, in line with basic economic theory. But the pace of that increase may differ under different circumstances. In international comparisons, health care delivery operates under vastly different market mechanisms. The graph above shows inflation for hospital stays in four countries: the United States, where health care is largely privately provided and paid for (except for the poorest and for retirees); the U.K. and France, where health care is provided and paid for by the state; and Switzerland, where people must enroll in private, but regulated, health insurance (not unlike Obamacare).

Surprisingly, the inflation experience is remarkably similar in the U.K. and the U.S., despite having health care institutions that are polar opposites. France shows much less inflation, and Switzerland even shows some deflation. Note that general inflation was similar in all these countries over this period, so dividing each hospital price index by the corresponding general price index yields a similar picture—shown in the graph below. But keep in mind that these are just four examples, and many other factors may matter. So, one shouldn’t generalize from such a small sample. But one also shouldn’t say that health prices always go up.

How these graphs were created: Search for “hospital CPI,” check the series you want, and click on “Add to Graph.” From the “Edit Graph” section, open the panel with the U.S. series and set the units to 100 for 2015-01-01 to match the other series. Finally, start the sample period on 2001-01-01. For the second graph, add to each line a second series (the CPI for the U.S., the harmonized consumer price index for all items for the other countries), apply formula a/b, and set the units to 100 for 2015-01-01.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: CP0000CHM086NEST, CP0000FRM086NEST, CP0000GBM086NEST, CP0630CHM086NEST, CP0630FRM086NEST, CP0630GBM086NEST, CPIAUCSL, CUSR0000SEMD

Measuring inflation trends

Why use different inflation measures for policy analysis?

Congress has instructed the Federal Reserve to pursue monetary policies that promote maximum employment and price stability. The Federal Open Market Committee (FOMC) has determined that “inflation at the rate of 2 percent, as measured by the annual change in the price index for personal consumption expenditures [PCE], is most consistent over the longer run with the Federal Reserve’s statutory mandate” for price stability. As of March 2018, the year-over-year percent change in the PCE was 2.01 percent, or just 1 basis point above the FOMC’s 2 percent target. However, inflation was substantially lower over much of the past year—as low as 1.40 percent in July 2017—and economists were uncertain whether the low readings reflected temporary factors that would soon dissipate or an underlying inflation rate that was below the level consistent with price stability.

Because the inflation rate measured by the headline PCE tends to be volatile from month to month, many observers monitor other measures, such as the PCE excluding food and energy prices (“core PCE”), to gauge underlying inflation trends. The near-term growth in core PCE is among the economic variables that the FOMC includes in its quarterly Summary of Economic Projections. As of March 2018, the year-over-year growth in core PCE was 1.88 percent. Some critics argue that this measure of inflation is “rotten,” however, because it arbitrarily excludes particular categories of goods whose prices affect the cost of living.

An alternative, and somewhat less arbitrary, measure of underlying inflation trends is based on the mean of changes in the prices of the individual goods and services that make up the price index after dropping items with exceptionally large or exceptionally small price changes in a given month. For example, the Federal Reserve Bank of Dallas calculates a trimmed mean PCE inflation measure designed to hew closely to the trend in overall PCE inflation. By omitting price changes for goods and services having the largest or smallest price movements in a given month, extreme values have less impact on the measured inflation rate, which arguably is a better measure of underlying inflation trends than the traditional core measure.

The graph shows the data at the time of this writing: It plots the headline, core, and Dallas Fed trimmed mean PCE inflation rates, measured as percent changes over the past 12 months, for the past year. Whereas the headline PCE inflation rate increased from 1.73 percent in February to 2.01 percent in March, and the core rate rose from 1.57 percent to 1.88 percent, the trimmed mean rose only from 1.71 percent to 1.77 percent. Hence, in contrast with the headline and core measures, the trimmed mean indicates little, if any, change in underlying inflation pressures in recent months, suggesting that low inflation readings might be more reflective of underlying trends than temporary special factors.

How this graph was created: Search for “PCE,” check the three series, and click on “Add to Graph.” From the “Edit Graph” menu, change the units to “Percent Change from Year Ago.” Change the frequency to “Monthly” and the starting date to “2017-03-01.”

Suggested by David Wheelock.

View on FRED, series used in this post: PCEPI, PCEPILFE, PCETRIM12M159SFRBDAL


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