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Posts tagged with: "GDP"

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How much do we spend on new houses?

The highs and lows in the numbers and values of new construction

Do we spend more on new houses than we used to? It can feel like it, especially because houses have become larger and available land has become more scarce. For a quantitative answer to this question, we can use FRED’s data on the number of new houses being sold across the U.S. and the median value of those houses. Multiplying these two indicators yields the total value of all houses sold in a given period. (Well, at least approximately: The mean would give us a better measure, but if the price distribution of new houses doesn’t change too much, this method will do.) Now, prices and incomes have generally increased, so we want to divide the total value of all houses sold by nominal GDP. The result is the series that we display in the graph above, with data normalized to 100 for the start of the sample.

What do we learn? 1) We spend relatively less on houses now, but we’re getting back to the trend. 2) There are strong seasonal factors in the sales volume of new houses. 3) Recessions are really bad for new house sales. 4) The U.S. spent historically high amounts for new houses just before the previous recession and then they dropped to historical lows. 5) Although this recent drop was extraordinarily severe, from a value of 183 to a value of 28 in the matter of a few years, the movements are also very large in other years and some values have doubled within a business cycle. After all, construction is known to be a very volatile sector, and this is especially true for new construction.

How this graph was created: search for “new houses sold, select the series and open the graph. Click on “edit graph” and add a series to the line by searching for median value, then again by searching for “nominal GDP.” Apply formula a*b/c. Finally, change the units ate the very bottom of the form to “Index” setting 100 on 1963-01-01.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: GDP, HSN1FNSA, MSPNHSUS

Are household debt and student debt exploding?

On the importance of properly deflating

The graph above shows two series related to household debt that have received a great deal of attention lately: consumer credit (mostly lines of credit and credit cards) and student loans. These series show stark increases especially in recent years. But one has to be careful before jumping to conclusions, as the eye may be deceived here. First, the student loans shown here are only those that come directly from the federal government, and that specific program was introduced in 1994. So part of the increase is simply this program ramping up. But more importantly, one has to consider the important factors for the time period shown here: overall prices increased, population grew, and real incomes increased as well. Thus, it could be that these graphs simply show the increases in these three factors and nothing else.

To make things clearer, we need to divide by a measure that also increases along with these three factors and thus represents the size of the economy over the years. One popular candidate for this is nominal (that is, not real) GDP. It accounts for price, population, and productivity growth. The graph below is the same as the above, except that both series are divided by nominal GDP. The new graph still shows an increase for both series, but it’s not as dramatic. It also has the advantage of providing a frame of reference for the numbers: Total outstanding consumer credit currently amounts to about 20% of national income, and student debt is 6%. Whether this is excessive is open to debate. But one should focus on the data in percentages, not in billions of dollars.

How these graphs were created: Search for “consumer credit” and click on the desired series. Once you have the graph, go to the “Edit Graph” section and open the “Add Line” panel. Search for “student loans” and take the series with a longer time range. Apply formula a/1000 so that the units match. You have now the first graph. For the second, add a series to each line by searching for “GDP” (do not take real GDP) and apply formulas a/b and a/b/1000, respectively.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: FGCCSAQ027S, GDP, HCCSDODNS

What is the federal government worth?

More than is measured

The top graph shows federal government net worth, which looks like it’s plummeting and very negative. But before we scream in panic, let’s try to understand this a bit better. Over the time period shown, the economy, the population, and the price level have all increased. So let’s first adjust the series with one that takes all this into account: nominal GDP. The graph below shows this, and we now see that the net worth of the federal government is about minus three quarters of annual GDP. Still not so good. But is the federal government really in such a precarious situation?

To truly understand this measure, you need to go back to the sources—specifically the Z.1 Financial Accounts of the United States release, Table S.7.a, which at the time of this post ran from p. 176 to p. 178. The very last line is the series we show here. All that precedes that line are the elements that enter into the calculation, mostly financial debts and credits. This explains why the pattern of this series follows the series for the federal public debt. It includes some non-financial assets, such as structures, equipment, and intellectual property, but it does not include land, mineral rights, and the present value of future taxes. Any of these three missing elements in isolation would propel federal government net worth into positive territory. These items aren’t included here because it wouldn’t make sense in the context of the Integrated Macroeconomic Accounts (IMA, hence that label in the legend). But these items should be included to truly determine the full net worth of the federal government.

How these graphs were created: For the top graph, simply search for “federal government net worth.” For the bottom graph, create the first and then use the “Edit Graph” tab to add the GDP (nominal, not real) series to the existing line. Apply formula a/b/10 for the ratio we need, which adjusts the units and expresses the new series as a percentage.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: FGNETWQ027S, GDP


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