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Posts tagged with: "CPIAUCSL"

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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

Getting back to normal? Part 2

Are real interest rates trending down to "normal"?

In our previous post, we mentioned that the Federal Open Market Committee (FOMC) is trying to normalize interest rates by gradually increasing the target for the federal funds rate. But what is the “normal” interest rate? Some people are arguing that it’s actually lower than what it has been before. One way to try to identify this normal state is by looking at long-term trends in interest rates: Presumably, long-term forces are what move the normal level of interest rates. (In contrast, interest rates respond in the short term to economic fluctuations rather than trends.) So we’ve graphed three popular interest rates that have a longer time series: the 1-year Treasury bond rate, Moody’s Aaa corporate bond rate, and the federal funds rate.

Can you see a trend? Of course, you can. There’s a trend increase until the end of the 1970s and then a trend decrease. And, of course, this has to do with the history of inflation. This is why people tend to discuss trends in real interest rates without the inflation component. But it’s not perfectly clear how to determine that inflation component: Indeed, interest rates are driven by markets and what they think inflation will be over the life of the bond or the period of credit. The data we have cover past inflation. While past and future inflation may be correlated, they’re not the same thing. Over the longer run, however, using realized inflation as a proxy for expected inflation works reasonably well, with exceptions. So we move to the second graph, where we’ve taken the same three interest rates and subtracted the CPI inflation rate from each. Do we see a downward trend? It looks like there’s one from 1980 to the Great Recession. After that, it’s subject to debate.

How these graphs were created: For the first graph, search for “1- year treasury rate” and take the monthly, constant maturity series. Then from the “Edit Graph” section, use the “Add Line” option and search for and add “aaa” and then also “fed funds rate,” each time taking the monthly rate. Finally, start the graph in 1955. For the second graph, repeat this process for each line: search for and add “CPI,” modify its units to “Percent Change from Year Ago,” and apply formula a-b.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: AAA, CPIAUCSL, FEDFUNDS, GS1

Taking the pulse of the economy

Connecting the San Francisco Tech Pulse with other economic indicators

The San Francisco Tech Pulse is a measure of the overall health of the American tech sector; it’s calculated using variables such as employment and consumption in the sector and investment in technology. The graph shows the Tech Pulse as well as total U.S. employment, CPI, and GDP indexed to January 2000. These other indicators are common benchmarks of general economic health: Rising GDP, slow changes in CPI, and high employment all indicate a strong economy.

During the 2008 recession, the indicators behaved as we would expect them to during such an economic downturn: employment fell steadily, as did GDP, and CPI spiked and then fell in a spell of high inflation followed by deflation. The tech pulse also plummeted, which makes sense considering it’s the sum of the above indicators in a specific area of the economy. Yet the Pulse began to rise earlier than the general indicators. This early recovery, beginning in April 2009, could indicate that the tech sector was one of the first parts of the economy to gain strength after the recession and assisted in the overall economic recovery.

However, the overall impact of technology shouldn’t be overestimated. During the earlier recession, in 2001, the other indicators remained fairly stable compared with the Tech Pulse, which decreased substantially. This drastic fall could demonstrate the opposite of the pattern we see in 2008: that the technology sector was a major loser in that recession and it was the rest of the economy that helped maintain relative stability.

How this graph was created: Search for and select “San Francisco Tech Pulse.” From the “Edit Graph” panel and the “Add Line” tab, search for and select the other series shown here: “GDP,” “CPI,” and “Employment.” In the “Units” section, select “Index (Scale value to 100 for chosen date),” set the date as January 1, 2000, and click “Apply to all.”

Suggested by Maria Hyrc and Christian Zimmermann.

View on FRED, series used in this post: CPIAUCSL, GDPC1, PAYEMS, SFTPINDM114SFRBSF


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