Federal Reserve Economic Data

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The education trade balance

Our last post discussed the foreign travel trade balance—that is, money spent by foreigners for tourism, business, and education in the U.S. compared with what Americans spend abroad. In this post, we focus on travel for education. The Bureau of Economic Analysis began including travel-for-education data only recently, when they made their last big revision to GDP data. In fact, the BEA has recomputed these data for the past several years, so we can compare the old and new series to get a sense of the education trade balance. (This is a much more convenient process than adding up all the expenses of foreign students, so thanks BEA!)

The FRED graph above makes it quite apparent that foreign students spend much more in the U.S. (3.5 times more) than American students spend abroad. In fact, the surplus for the last month of available data, $3.3 billion in September 2017, is about 7% of the overall trade deficit at the time and 12% of the trade deficit with China. Obviously, this surplus is quite substantial—with the bonus of having top international students study in the U.S., and possibly remain as part of the U.S. economy, after having their education paid by funds from abroad.

How this graph was created: Search for “travel trade,” select the exports series that includes education travel, and click “Add to Graph.” From the “Edit Graph” panel, add the export series that removes education travel and apply formula a-b. Repeat for the imports series.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: BOMTVLM133S, BOXTVLM133S, ITMTAEM133S, ITXTAEM133S

The foreign travel trade balance

The U.S. plays host to many visitors from abroad—for tourism, business, and education. Many Americans travel abroad for the same reasons. How much is spent on this type of travel? FRED’s best option for answering this question is the national income and product accounts (NIPA), which has exports and imports series dedicated to travel. The graph above includes all local expenses related to travel (food, lodging, entertainment, tuition, and business expenses) except the cost of the overseas flight.

The graph shows that the U.S. is a net exporter of travel services, particularly since the most recent recession. Over the past few years, though, the gap seems to be shrinking. Because the graph above uses nominal terms, we repeat it in real terms below using specific deflators for exports and imports of services. The new trend is confirmed and, in fact, appears even stronger.

How these graphs were created: For the first graph, search for “trade travel” and you should get four results. Select the ones including education, as they have more-recent data points, and click “Add to Graph.” For the second graph, use the first and go to the “Edit Graph” panel: Add a series by searching for “export deflator.” Select the quarterly series pertaining to only services. Then apply formula a/b*100. Repeat for the imports.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: A646RD3Q086SBEA, A656RD3Q086SBEA, ITMTAEM133S, ITXTAEM133S

Housing starts

A “housing start” is a new housing unit for which construction has begun. The graph above shows monthly housings starts in the U.S. for the past 20 years (Nov 1998 to Nov 2018) separated into three groups: single-family houses, houses with two to four units, and houses with five or more units. Note that this statistic pertains to the number of housing units and not number of houses/buildings.

The graph shows that housing starts dropped during the past recession and then increased again. That’s no surprise. However, single-unit starts have not reached their pre-recession levels. Initially, the reason was thought to be that households were either finding it more difficult to access mortgages or getting cold feet when considering the potential pitfalls of homeownership, such as the large number of foreclosures during the recession. Now, ten years after the recession, we may have to find another explanation for this change, which appears to be more than just transitory.*

Even if it doesn’t provide a definitive explanation, the graph below makes it easier to see this change by showing the percentages of the total number of units started.

*Maybe the new generation is less interested in single-family homes in the suburbs, which would be consistent with the decline in driving that we observed in a recent blog post.

How these graphs were created: For the first graph, search for “housing starts” and you should find all the seasonally adjusted series on the first page of results. Select them and click “Add to Graph.” For the second graph, take the first, go to the “Edit Graph” panel’s “Format” tab, and select graph type “Area” with stacking “Percentage.”

Suggested by Christian Zimmermann.

View on FRED, series used in this post: HOUST1F, HOUST2F, HOUST5F


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