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The economic impact of a pandemic

Wages during the Spanish Influenza

How does a pandemic affect an economy? Obviously, it’s a multilayered topic and FRED has limits to what it can reveal. The good news, of course, is that large-scale pandemics are rare. So the economic effects for most of these outbreaks are hard to see by graphing data. But we can take two of the most extreme examples, which will have visible effects in the data: the Black Death of the mid 14th century and the Spanish flu of 1918-1920.

We already covered the first one in a post from December 2018. So we look at the second one today: the influenza outbreak of 1918, commonly known as the Spanish flu. According to the Centers for Disease Control and Prevention, this pandemic infected about a third of the world’s population and killed at least 50 million people.

So, what economic effects can we see? The graph above shows hourly wages for various trades in the United States, and one particular feature of the data is a run-up of wages from 1918 to 1920 (followed by a drop, with the recession of 1921). This effect is consistent with the economic theory behind a sudden loss of population, just as we showed for the Black Death.

In the case of the Spanish flu, we also need to disentangle it from the consequences of World War I. Luckily, there’s some additional analysis in a St. Louis Fed Review article and other work by Thomas Garrett. Indeed, not all U.S. cities were affected in the same way by the Spanish flu or by WWI casualties. Exploring these differences, Garrett shows that the effect of the Spanish flu on wages was real and even bigger than the effects of WWI.

How this graph was created: Search for “Average Hourly Money Earnings” and click on one of the relevant series. From the “Edit Graph” panel, open the “Add Line” tab and search for more series. Repeat as needed.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: A08052USA052NNBR, A08053USA052NNBR, A0850AUSA052NNBR, A0851AUSA052NNBR, A0854AUSA052NNBR

Does the local economy influence voters?

A look at state median household income growth

The health of our local economy affects our outlook, which in turn can affect our decisionmaking, including how we cast our votes. Some classic research shows the economy is an important factor in national elections; and some newer research specifically links disposable income and military casualties to election results.

FRED has data to help you traverse the economic landscape during elections. This map shows the growth rate of median U.S. household income state by state.

  1. Median is defined as the value at which half the households are above and half below. In a majority election, for example, the median voter would be the determining factor. We look at households here, which obviously could include several voters.
  2. We transformed the raw data on household income to a growth rate, to show how things have changed from the previous year. (By the way, these data are nominal and, thus, include general inflation.)

The darker the color, the more growth—and, in simplified terms, the likelier it is an incumbent politician will be re-elected. Now, at the time of posting, the latest data we have is for 2018. To see how incomes grew for previous years, click on the View in GeoFRED link to get to all the mapping tools: The legend box has arrows that let you move from year to year, all the way back to 1990, which includes seven U.S. presidential elections.

How this map was created: The original post referenced an interactive map from our now discontinued GeoFRED site. The revised post provides a replacement map from FRED’s new mapping tool. To create FRED maps, go to the data series page in question and look for the green “VIEW MAP” button at the top right of the graph. See this post for instructions to edit a FRED map. Only series with a green map button can be mapped.

Suggested by Christian Zimmermann.

Trade between the U.S. and China: Steady as she goes?

For years now, we’ve been talking about the tempest of tariffs and trade wars between the U.S. and China. The FRED graph above doesn’t reveal all the effects, but it gives us the big picture by tracking overall imports, exports, and the trade balance for goods. Clearly, U.S.-China trade has grown tremendously over the decades, along with a large trade surplus for China. But things haven’t changed in any substantial way for the past 10 years. The composition of traded goods today may be different from what it used to be, but there’s nothing remarkable happening in the aggregate.

A few more ideas:

  1. The units for imports and exports are in natural logarithms, which we’ve used before to evenly display changes over time.
  2. FRED has data only for traded goods, not services; but we did investigate this topic a while back.
  3. There’s nothing intrinsically bad about the U.S. having a trade deficit.

How this graph was created: Search for and select the “goods imports China” series and click “Add to Graph.” From the “Edit Graph” panel, use the “Add Line” option to search for and add the “good exports China” series. Set the units for both lines to “Natural Log.” For the third line, use “Add Line” again to search for and select the “good imports China” series. Then use the “Customize data” search field to search for and select the “good exports China” series. Apply formula b-a. Finally, use the “Format” tab to choose “Right” for the y-axis position of the last line.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: EXPCH, IMPCH


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