(What’s Left of) Our Economy: How Big a China Virus Hit?

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China virus, coronavirus, COVID 19, Economic Policy Institute, Employment, employment multiplier, Jobs, output, output multiplier, production, {What's Left of) Our Economy

The short answer to the headline’s question? “Really big.” Which is kind of obvious. So today I thought I’d present some information on techniques economists use to come up with a somewhat more specific idea.

First let’s look at jobs – because jobs obviously affect people and their ability to provide for themselves. Economists taking a “put people first” approach would start by looking at the official federal government data on how many Americans are employed by those parts of the economy that clearly will be most seriously affected. Those numbers look like this as of last month’s preliminary figures, in millions of employees:

retail trade:                                                            15.659           1.22

educational services:                                               3.838           1.94

  (includes public & private institutions)

leisure & hospitality:                                            16.873

arts, entertainment, & recreation:                           2.494          3.79

  performing arts & spectator sports:                     0.516

  spectator sports*:                                                 0.146

accommodation & food services:                        14.379          1.61

  accommodation:                                                  2.092

  restaurants & other eating places:                     11.103

*January figure

The indented categories are industries of special interest that are sub-sectors of the larger categories below which they appear. And if you add up the major categories, you come up with 54.193 million workers – nearly 42 percent of the total U.S. private sector workforce.

Sharp-eyed readers will notice a number to the right of the worker figures – that number shows what’s called the employment multiplier for the sector in question. Simply put, it means how many jobs in other parts of the economy the maintenance, creation, or loss of a single job in the first sector affects. In other words, every job in American retail companies and stores affects 1.22 jobs elsewhere (e.g., from suppliers that furnish that industry with the inputs it needs to function, and from the purchases its own workers make from other industries).

Employment multipliers aren’t easy to find – these come from a Washington, D.C. think tank called the Economic Policy Institute, and don’t cover all the initially affected sectors. But from these data alone, it’s obvious that the total number of U.S. jobs that could be lost, or see a cutback in hours, is much greater than the employment damage done, for example, by the simple closing of a single restaurant or sports stadium.

Most economists would also look at how much output the most seriously affected industries contribute to the gross domestic product (GDP – the total sum of all the goods and services Americans turn out during a given time period). GDP and output matter, of course, because if businesses aren’t producing goods and services, they won’t need employees. Here how they look, according to a measure called “value-added” – which seeks to eliminate various forms of double-counting that result when trying to gauge production in sectors that make final products, and sectors that make their parts, components, materials, ingredients, and other inputs. Also important – these figures are not adjusted for inflation.

Percent of total U.S. value-added

retail trade:                                                            5.50           0.66

healthcare services & social assistance:               7.60

educational services:                                            1.20           0.72

performance arts, spectator sports, museums &

  related activities:                                               0.70            0.81

accommodation & food services:                       3.10

  accommodation:                                               0.80

  food services:                                                   2.30

Again, the sub-categories are indented. Here the total percent figure is much smaller than the employment figure. But at 21.20 percent, it’s not bupkis, either.

And as with employment, don’t forget those multipliers (also presented to the right)! Here, the readily available data is scantier, and those I use are from 2012. But clearly the indirect output (and growth) impact will be non-trivial. (These output multipliers come from the Manufacturing Institute of the National Association of Manufacturers.)

Even if the China Virus situation wasn’t still evolving – and possibly dramatically, no one should take these numbers to the bank. Especially important is remembering that none of them take into account the danger that all these jobs and output and income and related business revenue losses bring about the kind of financial system seize-up seen during the financial crisis of 2007-2008. Moreover, although business and entire industry shutdowns will be extensive in the above and other sectors, they won’t be total, or (usually) anywhere close. And the damage will not last forever, or anywhere close.

All the same, we’re talking major drops in employment, incomes, and production – which is exactly why the economic response from Washington needs to focus on getting and guaranteeing money and credit where it’s needed pronto.

(What’s Left of) Our Economy: U.S. Manufacturing’s Not Only Decoupling from China

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737 Max, aircraft, Boeing, China, Commerce Department, decoupling, GDP-by-industry, manufacturing, output, Trade, Trade Deficits, {What's Left of) Our Economy

The Commerce Department’s GDP-by-Industry series is almost always overlooked by followers of the economy, and partly that’s the Commerce Department’s fault. Its updates are invariably a quarter behind, so it’s what analysts call a (seriously) lagging indicator that says relatively little about the more important question of what’s in store.

Nonetheless, even when they’re lagging, distinctive and detailed indicators can clarify long-term trends considerably, and that’s why I like GDP-by-Industry and track it so closely. Because it sheds lots of light on some of the most important economic and trade-related issues of the day – and especially on the impact of President Trump’s tariff-heavy policies. Specifically, the latest set of figures, which were issued January 9, reveal that during the Trump administration, the United States has continued to progress toward the worthy goal of reducing domestic manufacturing’s dependence on imports (and especially imports from increasingly hostile countries like China) for acceptable levels of growth. 

In other words, the People’s Republic isn’t the only country from which American manufacturing is decoupling. 

According to the new data, the latest year-on-quarter results show that between the third quarter of 2018 and the third quarter of 2019, U.S. manufacturing output (measured according to a gauge called gross value added) increased by 1.21 percent. That’s not much. But the manufacturing trade deficit during this period rose by only 2.55 percent. (Both figures are in pre-inflation dollars, because inflation-adjusted manufacturing trade figures aren’t available.)

Although this growth rate is lower than that achieved between the second quarter of 2018 and the second quarter of 2019 (2.03 percent), that figure was accompanied by a much faster increase in the manufacturing trade deficit (7.83 percent). The first quarter to first quarter results? Manufacturing production growth of 2.76 percent, and manufacturing trade deficit increase of 1.29 percent. That is, manufacturing output actually grew faster than the trade deficit. So from that standpoint, the third quarter result are disappointing.

They look even more disappointing when compared with the results from the first two years of the Trump administration. In 2017, manufacturing production also grew somewhat faster (3.99 percent) than the increase in manufacturing’s trade gap (3.16 percent), and in 2018, output grew much faster (6.23 percent to 3.96 percent).

These Trump presidency figures, in turn, have been much better than those reported for President Obama’s administration. Once the current economic recovery entered a normal phase (2011), the manufacturing trade deficit grew much faster than output ever year except for 2013.

So what’s the case for the latest third quarter 2018-third quarter 2019 figures representing continued progress? And why should anyone be happy with 1.21 percent annual manufacturing output growth no matter what’s happening on the trade deficit side?

Two answers suggest themselves. First, since the President began imposing tariffs in earnest (essentially, in April, 2018), importers have been “front-running” their purchases from abroad.  Their efforts to secure these deals before various sets of tariffs kicked in has produced several short-term distortions in the trade deficit in particular. Second, since the spring, Boeing’s safety woes have exerted a major drag both on domestic manufacturing output and on industry’s trade performance – since the aircraft giant has long been America’s leading exporting company.

Just one example of the difference Boeing has made: Between the third quarters of 2018 and 2019, the U.S. civilian aircraft trade surplus dropped from just under $10 billion to just under $6.5 billion. Civilian aircraft is of course the product category containing Boeing’s troubled 737 Max jet, and the plane was grounded worldwide, or banned from many national airspaces, starting in March.

The relationship between trade balances and production is never one-to-one, especially over relatively short time frames. And the matter becomes more complicated in sectors like aircraft, with its long lead times and generally large backlogs. But it’s difficult to believe that the 737 Max crisis and the narrowing of the aircraft trade surplus hasn’t impacted American civilian aircraft production and exports at all. (In fact, between those two quarters civilian aircraft exports, which are strongly related to output levels, sank by $2.75 billion, or nearly 22 percent.)

Moreover, for the purposes of comparing manufacturing output growth and the manufacturing’s trade deficit growth, the aircraft troubles are significant. Had the category’s trade performance simply remained the same between the third quarters of 2018 and 2019, the trade shortfall would have increased not by 2.55 percent, but 1.25 percent – less than half the rate. As result, during that period, manufacturing’s output (1.21 percent) and trade deficit would have grown at very nearly the same pace.

What does the future hold for this key ratio? On the one hand, civilian aircraft production is bound to decrease for the foreseeable future due to the 737 Max production halt announced by Boeing in mid-December. On the other, numerous signs indicate that industry overall has come out of the recession that dogged it for much of the last year and a half (and that by some output measures, never happened at all). Moreover, the Phase One trade deal signed by the United States and China last week could well reduce at least some of the tariff-related uncertainty that’s clearly slowed manufacturing-heavy capital spending decisions by American business in general, and certainly in manufacturing itself.

That looks like a modest case for domestic manufacturing continuing its longer term trend of becoming more self-sufficient while growing adequately – a development that makes major sense in a world that’s far more uncertain.

(What’s Left of) Our Economy: More Evidence that Trump’s Trade Wars are Winning for America

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capital spending, Dallas Federal Reserve, Federal Reserve, Jobs, manufacturers, manufacturing, output, production, tariffs, Trade, trade war, Trump, {What's Left of) Our Economy

Here’s how weird today’s (covering June) Dallas Federal Reserve Bank manufacturing report is. It’s prompted me to write my first ever RealityChek post on an individual regional Fed manufacturing report. And I’m writing this subject instead of my original plan to blog on the Iran/Persian Gulf crisis – which is of course generating lots of headlines.

The main reason? The Dallas findings include considerable evidence that domestic U.S. manufacturing is withstanding President Trump’s trade wars quite well thank you – at worst – and that his tariffs are bringing back a good deal more production to the United States than widely supposed. 

For readers not familiar with such reports, every month, several of the regional branches in the national Federal Reserve system issue results of surveys they conduct on the state of manufacturing in the geographic districts they monitor and whose financial sectors they help regulate. The Dallas Fed’s “jurisdiction” is Texas, northern Louisiana, and southern New Mexico. And because Texas is such an important manufacturing state, the Dallas reports are considered especially important in judging the health of American manufacturing as a whole.

Today’s Dallas Fed report began unusually enough, with a series of seemingly contradictory findings stemming from its usual indicators. For example, the so-called headline figure – which purports to measure district manufacturers’ perceptions of overall industry conditions for a particular month – not only worsened for the second straight month. It sank even deeper into numerical territory that supposedly signals manufacturing contraction.

At the same time, these companies’ reports on their output (like all the regional Fed manufacturing surveys, the Dallas Fed’s gauges “sentiment,” or companies’ descriptions of their activities, rather than measuring the activity itself), rose slightly higher into the numerical territory signaling manufacturing expansion. So did the “new orders” indicator – though it was slightly weaker in absolute terms. (That is, it wasn’t signaling expansion as strongly as the output indicator.)

Dallas Fed district manufacturers also stated that they were continuing to hire, and work their employees more hours per weak – though the growth here slowed from that they reported the previous month. The only indicator which registered a major monthly drop was capital spending. It dropped by double-digits percentage points to a two-year low, but still remained in expansion territory.

Interestingly, the Dallas results roughly mirrored the June report from another closely watched Fed district – Philadelphia’s.

But what was really weird about today’s Dallas Fed report were the answers regional manufacturers gave to a series of “Special Questions” about the impact of President Trump’s tariffs. The responses from 115 companies made clear that they believed that the levies effects were more damaging than last September, when they previously answered these questions (and when Texas and national manufacturing was going great guns).

But the difference was anything but dramatic. By many key measures, strong majorities reported that the tariffs had “no impact” on their fortunes. The companies expected the tariff damage to fade considerably within two years. And many of them were responding to tariff pressures they faced by replacing foreign suppliers with domestic suppliers. In other words, they were replacing imports with domestic orders and production.

For example, between last September and this month, the share of Texas manufacturers stating that the U.S. and foreign retaliatory tariffs had had “no impact” on their production levels fell only from 65.9 percent to 60.9 percent. The share reporting “no impact” on employment dipped from 82.1 percent to a still lofty 78.3 percent, and on capital spending from 69.4 percent to 64.9 percent. I.e., these results don’t exactly scream “Tariffmageddon!”

For those companies that did report tariff-related changes, the gap for each of these indicators between those reporting damage and those reporting benefits definitely widened in favor of damage. But again, the differences – over a nine-month period during which lots of tariffs were actually imposed or increased – were on the limited side. The biggest deterioration, for example, took place in capital spending. In September, 20 percent of the manufacturers responding reported that the tariffs were leading them to cut such investments. This month, that share rose to 27.2 percent. Slightly behind capital spending in this respect was output, with the “decrease” share increasing from 20 percent to 26.1 percent.

The share of companies reporting benefits from the tariffs declined, too – but much more modestly. And in June, they still averaged close to ten percent.

By contrast, the companies’ views on their ability to cope successfully over time with the U.S. and foreign retaliatory tariffs brightened through 2021. The share expecting net tariffs damage dropped from 41 percent to 32 percent, and the share expecting net benefits doubled – to 18 percent.

And potentially most interesting of all – many more companies that reported net negative impacts from tariffs were responding by replacing imports with domestic production, not with non-tariff-ed foreign products. The sample size here is small (46 firms), but 17.4 percent said they were “mitigating” the tariff damage by finding new domestic suppliers and another 17.4 percent were bringing “production or processes” back in-house. Only 10.9 percent answered “finding new foreign suppliers.”

When it comes to China, I’ve long maintained that any reduction in Chinese industrial capacity benefits the United States, even if imports from China are replaced by imports from elsewhere. But the Dallas results show that the number of companies responding by bringing production back home in one way or another – as President Trump has promised – could be much higher than many skeptics have claimed and predicted.

Sentiment surveys like the regional Fed reports are no substitute for the actual data (largely for the “survivorship bias” problems I’ve explained in this post). But if more of these institutions could keep track of their manufacturers’ stated experiences with and responses to the Trump trade wars – and on an ongoing, not sporadic, basis – they could help the nation better understand the real consequences.