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Posts tagged with: "GDPA"

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The usual suspects (behind U.S. trade deficits): China, Canada, Mexico, Japan, and Germany

A long-term lineup of U.S. trading partners

According to economic theory, countries should export goods in which they have a comparative advantage in production and import those in which they don’t. For several years, the U.S. has been the number 1 importer and the number 2 exporter in the world. But the U.S. has recently imposed tariffs on imports from several foreign nations, citing the growing U.S. trade deficit as a main reason. So let’s use FRED to examine the overall picture of the U.S. trade deficit and the trade balance with its largest trading partners.

The first graph shows net U.S. exports, defined as the difference between total exports and total imports, divided by GDP. This net exports-to-GDP ratio has been negative since the late 1970s, when the U.S. started running a continual trade deficit. One explanation involves important sources of income the U.S. receives from abroad, as explained in a past FRED Blog post. This flow of foreign income allows the U.S. economy to consume more than it produces.

Exploring this and other theories in detail is beyond the scope of this post, but this persistent trade deficit over the past 40 or so years does lead to interesting questions involving the U.S.’s trading partners. For instance, is the trade deficit driven mostly by trade with one particular country?

The second graph plots the difference between exports and imports as a share of GDP with respect to the U.S.’s five largest trading partners: China, Canada, Mexico, Japan, and Germany. We can see right away that there’s a significant difference between the U.S. trade deficit with China and the U.S. trade deficits with the other countries. It’s also interesting to note that, in the 1990s, the largest share of the trade deficit originated from trade with Japan. But since China’s entry to the WTO in late 2001, the largest share is China’s. We also see that the U.S. had roughly balanced trade with Mexico in the early 1990s; but around 1994, coinciding with the implementation of NAFTA, the trade pattern changed and a noticeable deficit with Mexico emerged.

Now, is having persistently large trade deficits a bad thing? The answer to this question is not straightforward. There are several forces affecting the direction of trade with different countries, and a substantial amount of research in economics is dedicated to answering this question.

How these graphs were created: For the first graph, search for and select “Net Exports of Goods and Services, Billions of Dollars.” From the “Edit Graph” panel, add a second series to the graph: “Gross Domestic Product, Billions of Dollars.” In the formula box, type a*100/b. For the second graph, search for and select “U.S. Exports of Goods by F.A.S. Basis to China, Mainland (EXPCH).” From the “Edit Graph” panel, add a second series to the graph: “U.S. Imports of Goods by Customs Basis from Germany.” Then add the “Gross Domestic Product, Billions of Dollars” series again. In the formula box, type (a-b)*100/(c*1000). Then use the “Add Line” feature to repeat the above steps for the other countries (Canada, Mexico, Japan, and Germany).

Suggested by Asha Bharadwaj and Maximiliano Dvorkin.


Good times for dividends

Measuring the value of net corporate dividends in the U.S. economy

Today, FRED will help us track the value of something called aggregate net corporate dividends. First, a few definitions:

1. Dividends are distributions of a portion of a company’s earnings to its shareholders.

2. Corporate dividends are dividends paid by corporations.

3. The federal government adjusts the aggregate corporate dividends data to account for dividends paid and received from abroad. (This makes the data consistent with other aspects of the national income accounts.) These adjusted values are net corporate dividends.

Net corporate dividends have grown from $5.8 billion in 1929 to $990 billion in 2017. Of course, this growth is largely driven by the general increase in prices—i.e., inflation—and by the increase in overall real economic activity. FRED can help us get a sense of the value of these dividends relative to the total economy by plotting net corporate dividends as a fraction of nominal gross domestic product. The graph includes each year from 1929 through 2017. Apart from a few years during and after the most recent recession, this value has exceeded 5 percent for the past 11 years. Before this, you’d have to go back to World War II for this value to exceed 5 percent. So, yes: Good times for dividends.

How this graph was created: Search for “corporate dividend,” choose the series “Net Corporate Dividend Payments,” and click “Edit Graph.” In the “Edit Line 1” panel, enter “nominal gross domestic product” in the search field, choose “Gross Domestic Product, Billions of Dollars, Not Seasonally Adjusted,” and click “Add.” Next, to compute the ratio of these two variables, type “a/b” in the formula field (where “a” is the dividends variable and “b” is the nominal GDP variable) and click “Apply.”

Suggested by Bill Dupor.

View on FRED, series used in this post: B056RC1A027NBEA, GDPA

A 30-year growth spurt?

The proportion of total output contributed by nonprofits has risen consistently, even during recessions

The nonprofit sector in the U.S. has grown substantially in recent years. A survey from the National Center for Science and Engineering Statistics found that, from 1997 to 2007, nonprofit revenue grew 33% faster than overall U.S. GDP. The Bureau of Economic Analysis defines nonprofits as tax-exempt institutions, specifically those serving households in 5 major categories: religious and welfare organizations, medical care, education and research, recreation, and personal business associations. The graph above shows that the share of the nonprofit sector in GDP has indeed increased. The interesting part is that it has increased every year, especially in recession years.

The scatter plot above confirms this: By putting the share of GDP on the vertical axis and the index of recession probability on the horizontal axis, we obtain a point for every year in the sample. The points tend to follow a positive slope, which indicates that this grows more when there’s a higher likelihood of recession. In fact, the sector has proven to be quite resilient: According to the Bureau of Labor Statistics, nonprofit employment increased 8.5% from 2007 to 2012, growing every year during the Great Recession. Nonprofits also employ 1 in 10 U.S. workers, and the proportion is likely to grow, given current trends. So, why does nonprofits’ share of GDP increase more significantly in recessions? The answer likely has to do with disproportionate growth of nonprofits and disproportionate lack of growth in other sectors.

Nonprofits promote the public good. So, during economic downturns, they may have greater opportunity to increase their output. In fact, nonprofits can play a central role in economic recovery, for example, by directly remediating problems associated with recessions (such as unemployment) through welfare spending and expanding economic opportunities through education. On the other hand, other sectors of the economy experience disproportionate decreases in growth compared with nonprofits. Durable goods manufacturing and construction industries accounted for more than 28% of GDP in the second quarter of 2007; two years later, they accounted for less than 22%. As other components of GDP shrink, the nonprofit output tends to rise.

How these graphs were created: Search for “gross output nonprofits” and select the relevant series. In the “Edit Graph” tab, search for “nominal GDP” and select the not seasonally adjusted series. Click “Add.” In the formula tab, type (a/b)*100 to yield the percentage. To transform the first graph into the second, change the units to “percent change.” Select “Add Line” and search for “recession indicator” and add it to the graph. Change its frequency to “Annual” with the default averaging. In the format tab, change the graph type to “Scatter.”

Suggested by Maria Hyrc and Christian Zimmermann.

View on FRED, series used in this post: DNPERC1A027NBEA, GDPA, JHGDPBRINDX

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