Federal Reserve Economic Data

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An economic encomium for Sub-Saharan Africa

Good news from Ethiopia, Ghana, and Rwanda

Sub-Saharan Africa has long been hindered by economic development traps: National economies have not been able to sustain significant growth for various reasons—such as high poverty leading to low savings, which  leads to low or negative economic growth. These days, there are some good reasons for optimism, as several countries have shown robust growth for a couple of decades. The FRED data in the graph above focus on three of these countries: Ethiopia, Ghana, and Rwanda, which have all more than doubled their per capita GDP in less than two decades.

Of course, not all African countries follow this pattern. But the example of the “Asian Tigers” (Hong Kong, Singapore, South Korea, and Taiwan) has shown that a few leading countries can help propel other countries forward as well. It may be that these “African Lions” are following the same strategy: concentrating on labor-intensive manufacturing and limiting agriculture to highly productive crops.*

How this graph was created: Search FRED for “Constant GDP Ethiopia” and click on the link. From the “Edit Graph” panel, use the “Add Line” tab to search for and select “Constant GDP Ghana” and “Constant GDP Rwanda.” Select “Index” as the units with a date of 1990-01-01 and click “Apply to all.”

*While we’re accentuating the positive… Ethiopia, Ghana, and Rwanda have also been celebrating some political, cultural, and resource developments.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: NYGDPPCAPKDETH, NYGDPPCAPKDGHA, NYGDPPCAPKDRWA

Whither the workers?

How the working-age population affects productive capacity

One way to measure the productive capacity of a country is to look at its working-age population. Members of this group are most likely to be available for productive employment that can sustain a country’s economic growth. The age range is generally considered to be 15 to 64, although some statistics start later. The graph above shows this population for the United States, Canada, and Japan.

Japan stands out in this trio: Its working-age population has been declining as a result of declining fertility and little immigration. These conditions make it difficult for Japan’s economy to grow. If sustained positive growth is the objective, Japan would need to improve the productivity of its smaller workforce much more than other countries with larger workforces would need to.

The story is different for the United States and Canada. They show continuous growth. While fertility rates have declined a little, immigration has helped sustain population growth. Immigrants are typically of working age, so immigration can increase the working-age population specifically. Although these populations for the United States and Canada track each other pretty well (they were almost identical in late 2016), a little bit of separation has occurred in recent years.

How this graph was created: Search FRED for “population 15-64,” check the relevant series, and click “Add to Graph.” Then change the sample to start on 1995-01-01. Click “Edit Graph,” choose units “Index” with 1995-01-01, and click on “Apply to All.”

Suggested by Christian Zimmermann.

View on FRED, series used in this post: LFWA64TTCAM647N, LFWA64TTJPM647N, LFWA64TTUSM647N

A lesson in measuring the federal debt

The many ways to calculate how much the U.S. federal government owes

What’s the debt level of the U.S. federal government? The answer isn’t as straightforward as it may seem. A quick search on FRED for “federal debt” delivers the graph above, which shows the total level of the federal debt, in millions of dollars, at a quarterly frequency since first quarter 1966. The latest figure, as of the writing of this post, corresponds to second quarter 2019 and amounts to over $22 trillion. We can also express the federal debt as a percentage of GDP, like so:

The federal debt reached 103% of GDP in second quarter 2019. These numbers, however, don’t properly reflect the amount owed by the federal government to private bondholders, since certain federal agencies (primarily, the Social Security trust funds) also hold federal debt. These agency bond holdings are liabilities the federal government owes to itself and therefore should be netted out. This adjustment is made in a series called “Federal Debt Held by the Public,” which FRED has both in millions of dollars and as a percentage of GDP. The latter is below:

As we can see, these adjusted amounts are substantially lower than the ones previously shown. Federal debt held by the public amounted to roughly $16 trillion or 76% of GDP in second quarter 2019. However, since the Federal Reserve Banks are actually private banks, they’re included in the government’s definition of “public.” Since Federal Reserve Banks remit their profits to the Treasury, any interest earned on their federal debt is rebated to the federal government. Thus, debt held by Federal Reserve Banks constitutes liabilities that the federal government owes to itself. FRED has a series called “Federal Debt Held by Federal Reserve Banks”:

If we deduct this value above from the federal debt level, we can create a more accurate series of federal debt held by the public, excluding the holdings by Federal Reserve Banks. (Simply subtract “Federal Debt Held by Federal Reserve Banks” from “Federal Debt Held by the Public” after making sure they’re both expressed in the same units.)

So, as of second quarter 2019, federal debt is $13.7 trillion or 64% of GDP, much smaller than the figures we started with before netting out the holdings of federal agencies and Federal Reserve Banks.

How these graphs were created: For all but the last one, search for the series name and click on the relevant result. For the last, take the next-to-last graph, click on “Edit Graph,” add a series by searching for “federal debt held by the public as percent of GDP,” and apply formula b-a.

Suggested by Fernando Martin.

View on FRED, series used in this post: FYGFGDQ188S, GFDEBTN, GFDEGDQ188S, HBFRGDQ188S


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