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Posts tagged with: "CPIAUCSL"

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Inflation in the dollar zone

In a recent FRED Blog post, we showed how the exchange rate regime has had an impact on inflation rates in Europe. This time, we look at the dollar zone. Indeed, several countries have adopted the U.S. dollar as legal tender, and it is startling how their inflation rates have rapidly converged toward the U.S. rate. Just look at the graph. This convergence was likely the intention of those countries: Ecuador in 2000 and El Salvador in 2001 switched to the U.S. dollar to fight against very high inflation rates. Panama had already adopted the U.S. dollar in 1904 and has had no such problems with inflation.

How this graph was created: Search for “Inflation” and the respective countries. In the case of the U.S., change the units to “Percent Change from Year Ago” to match the units of the other series. The line width for the U.S. was increased and the color changed to black.

Suggested by Christian Zimmermann

View on FRED, series used in this post: CPIAUCSL, FPCPITOTLZGECU, FPCPITOTLZGPAN, FPCPITOTLZGSLV

M2 velocity and inflation

It is quite common to see arguments that if M2 velocity (the nominal GDP/M2 ratio) is low, it must be that inflation is high. While M2 velocity is currently at historical lows, inflation is clearly not high. Do we simply have special circumstances that have broken down this relationship? Is there such a relationship in the first place? Let us look at the data:

Eyeballing the graph, we see no clear relationship between these variables. There is a better alternative than line graphs to eyeball correlations, though: scatter plots. For each quarter, CPI inflation is plotted on one axis (horizontal) and M2 velocity is plotted on the other (vertical):

Not much of a relationship can be found here. If anything, there is a slight upward slope, indicating that higher M2 velocity is associated with higher inflation, although this would not be statistically significant.

How these graphs were created: Search for M2 velocity, then add CPI. Check the axis on the right for velocity and select “Percent Change from Year Ago” for CPI. This gives you the first graph. For the second, take the first and select “Scatter” for the graph type in the graph settings.

Suggested by Christian Zimmermann

View on FRED, series used in this post: CPIAUCSL, M2V

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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