(What’s Left of) Our Economy: The Case for Transitory U.S. Inflation Just Weakened

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CCP Virus, consumer price index, core inflation, coronavirus, COVID 19, CPI, inflation, Labor Department, lockdowns, logistics, prices, reopening, stay-at-home, supply chain, transportation, Wuhan virus, {What's Left of) Our Economy

At first glance, this morning’s U.S. inflation report almost had me throwing in the towel in the debate between those (like me) believing that recent price hikes will peter out sooner rather than later, and those believing that they’ll be much longer lasting.

My pessimism stemmed from the indisputable facts not only that by all the major month-on-month and year-on-year measures, the numbers for October were terrible in their own right. They also showed inflation gaining momentum. My case for optimism focused on a loss of momentum I’d identified through September.

Today’s statistics definitely shifted the weight of the evidence in favor of the pessimists. But I still see one possible reason for continued optimism – though the accent is on “possible.” Specifically, the year-on-year numbers may again be partly functions of unusually weak inflation last year, when the CCP Virus pandemic was undermining the economy even more than this year.

Let’s review the main monthly and annual numbers for this calendar year first, though, because it’s worth seeing just how bad they are and how much inflation momentum they reveal. First, the monthly results for overall inflation (as measured by the Labor Department’s Consumer Price Index, or CPI). As you can see, whereas sequential price increases between July and September had been coming in considerably lower than their June peak, in October they shot up past the June peak – to the highest level since June, 2008 (1.05 percent).

Dec-Jan:                          0.26 percent

Jan-Feb:                          0.35 percent

Feb-March:                     0.62 percent

March-April:                  0.77 percent

April-May:                     0.64 percent

May-June:                      0.90 percent

June-July:                      0.47 percent

July-Aug:                      0.27 percent

Aug-Sept:                      0.41 percent

Sept.-Oct:                      0.94 percent

The recent acceleration in the monthly changes in so-called core inflation was even stronger. (This gauge strips out food and energy prices, because however vital these commodities are to daily life, their price levels can be influenced by developments like bad weather or the decisions of the OPEC oil-producing countries’ cartel that supposedly say little about how fundamentally inflation-prone the economy is or isn’t.)

As of October, core inflation is still well below its peak in early spring. But it’s much highe than it’s been in the last three months:

Dec-Jan:                      0.03 percent

Jan-Feb:                       0.10 percent

Feb-March:                  0.34 percent

March-April:                0.92 percent

April-May:                   0.74 percent

May-June:                    0.88 percent

June-July:                     0.33 percent

July-Aug:                     0.10 percent

Aug-Sept:                    0.24 percent

Sept-Oct:                     0.60 percent

The case for acceleration is at least as strong for annual overall inflation. As I wrote last month, the rate of change had been more or less plateauing since May, but clearly shifted into a higher gear in October. Indeed, last month’s yearly increase was the biggest since December, 1990’s increase of 6.25 percent.

Jan:                             1.37 percent

Feb:                            1.68 percent

March:                       2.64 percent

April:                         4.15 percent

May:                          4.93 percent

June:                          5.32 percent

July:                           5.28 percent

Aug:                           5.20 percent

Sept:                          5.38 percent

Oct:                            6.24 percent

The same speed-up can be seen in the annual core inflation figures. And they’ve just hit their highest level since September, 1991 (4.60 percent).

Jan:                            1.40 percent

Feb:                            1.28 percent

March:                       1.65 percent

April:                         2.96 percent

May:                          3.80 percent

June:                          4.45 percent

July:                          4.24 percent

Aug:                          3.98 percent

Sept:                          4.04 percent

Oct:                           4.58 percent

But now the data providing (some) cause for optimism. They cover the annual inflation figures for 2019-2020, and the reason for examining them is that if inflation that year was unusually low, then whatever price hikes are recorded the year after will be unusually – and to some extent, artificially – high.

As clear from the below numbers, those 2019-2020 inflation rates became rock bottom as the CCP Virus began spreading, the economy began locking down, and consumers turned super cautious. From June through September, they rose again as the reopening after that first virus wave proceeded. But numbers like those, with one handles, hadn’t been seen recently since the summer of 2017, and even these were all well above 1.50 percent.

But October saw a sizable dropoff – from 1.41 percent to 1.19 percent.

Jan:                            2.47 percent

Feb:                            2.31 percent

March:                       1.51 percent

April:                         0.34 percent

May:                          0.22 percent

June:                          0.73 percent

July:                          1.05 percent

Aug:                          1.32 percent

Sept:                         1.41 percent

Oct:                          1.19 percent

And possibly as interesting: The November, 2019-2020 overall inflation rate (below) was even lower. December’s was higher, but not by much. So I’d argue that caution is warranted in reading too much into the latest big annual CPI increase.

Nov:                          1.14 percent

Dec:                           1.30 percent

The story told by the core inflation data is similar. Annual price hikes below two percent didn’t reappear until March, 2018 and stayed above that level until the depths of last year’s short but steep pandemic-induced recession. Following that first wave and its dramatic impact, annual 2019-2020 core inflation rates came back, but never approached two percent. And in October, fell back to 1.63 percent.

Jan:                           2.26 percent

Feb:                          2.36 percent

March:                      2.10 percent

April:                        1.44 percent

May:                         1.24 percent

June:                         1.20 percent

July:                         1.56 percent

Aug:                         1.70 percent

Sept:                        1.72 percent

Oct:                          1.63 percent

How did they perform through the end of 2020? Cumulatively, they drifted down further.

Nov: 1.65 percent

Dec: 1.61 percent

In this vein, it will be especially interesting to see how the annual 2021-2022 statistics look when they begin coming in early next year. My bet right now is that they’ll decline simply because this particular CCP Virus effect will be wearing off. And hopefully, progress toward untangling knotted global supply chains will help moderate the monthly numbers. (Until then, though, the holiday shopping season could well keep propping them up.) But if those logistics and transport troubles remain serious, all bets come off. Ditto for energy prices if they stay up.

None of this is to minimize the pain that recent and current inflation have inflicted on Americans, and especially lower income Americans. And the October results suggest that even if these price hikes prove to be a transitory development due largely to one-off CCP Virus-related disruptions, there’s no doubt that the definition of “transitory” keeps expanding chronologically – and possibly making this debate look pretty moot.

Im-Politic: Anti-Pandemic Economy Clamps Could Be Strengthening Just as the Virus Threat is Weakening

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Andrew Jackson, Battle of New Orleans, Biden, CCP Virus, CDC, Centers for Disease Control and Prevention, coronavirus, COVID 19, data, hospitalizations, Im-Politic, Jobs, lockdowns, mortality, OurWorldinData.org, stay-at-home, vaccination, vaccine mandates, vaccine passports, vaccines, War of 1812, Washington Post, Wuhan virus

What a stunning and thoroughly depressing point the U.S. fight against the CCP Virus may be at. Governments at all levels, private businesses, and non-profit institutions of all kinds are imposing all sorts of vaccination mandates on employees that could result in significant layoffs for the recalcitrant (including those with natural virus immunity) and equally important damage to the economy. And at the same time, the most reliable data now show that the virus’ destructive impact – recently renewed by the highly infectious Delta variant – is easing once again, and for reasons that look completely unrelated to vaccination rates.

Not that the most reliable CCP Virus data are incredibly reliable. As I’ve previously written, there are some awfully dubious definitions of “Covid-related deaths” being used across the country, and major holes in the coverage achieved by the official record keepers. In addition, serious problems have been revealed even in the hospitalization numbers – which I’d considered the most accurate gauge of the virus’ effects on human health.

All the same, the proverbial statistical curve for both indicators is now bending down for the first time since Delta began dominating the American virus scene in mid-summer.

As often the case, my source for the death and hospitalization figures are the Washington Post‘s very user-friendly CCP Virus databases. For this post, I’m also using some hospitalization figures for the U.S. Centers for Disease Control and Prevention’s (CDC) website. Unless otherwise mentioned, the specific numbers here are changes in seven-day averages (7DA), which smooth out random fluctuations that tend to occur on a day-to-day basis.

Regarding mortality, the 7DA for daily reported covid-related deaths bottomed out on July 6 at 209 and it had plummeted by nearly 30 percent during the previous week. And through July 27, the 7DA stayed below 300. But by August 16, it hit 651 and thereafter began soaring rapidly.

By the 18^th, the 7DA average had jumped by nearly 32 percent week-on-week, and the rate of increase continued surging until it peaked on the 24^th at an appalling 77.90 percent. But thereafter, these increases dropped dramaticaly. A week later, they were down to just over 21 percent. That is, consistent with the “bend the curve” criteria, the problem kept worsening, but it was worsening much more slowly, which counts as welcome progress.

This encouraging development continued through September 9, by which time the 7DA was rising on a weekly basis by just 3.17 percent. In other words, it nearly stopped rising altogether. But this fall-off proved to be a head fake. Almost immediately, the weekly increases in the 7DA for covid-related mortality bounced back, and reached a discouraging 27.49 percent in less than a week (by the 15^th).

Yet another decline has followed, and this one has been considerably deeper. By September 21, the weekly 7DA increase was back below ten percent, and just four days later, hit zero for the first time since the second half of July.

Since then, and through yesterday, the 7DA has not only been decreasing on a weekly basis. It’s been decreasing faster and faster. Yesterday, the decline stood at 6.74 percent.

The hospitalization story has been somewhat different, and brighter, especially since early September. The 7DA for daily new hospital admissions for CCP Virus-related reasons bottomed out on June 25 at 1,824 and at that point, it was down on week by just under 5.20 percent.

By August 9, the situation had turned around completely – and then some. The 7DA had soared by 34 percent. Afterwards, however, came a consistent decline. By the 20^th, the weekly rate of increase in the 7DA had fallen to ten percent, and by September 1, the increases had stopped. The weekly 7DA registered its first weekly decline on September 6 (down two percent), and its first double-digit decrease on the 21^st (ten percent).

Since then through the 30^th, it’s fallen by ten percent or more twice, and the weekly decrease in the 7DA hasn’t dipped below seven percent.

Given the mushrooming of vaccine mandates and widespread claims – including by President Biden – that the nation is now facing a “pandemic of the unvaccinated,” you’d think that the above improvements stemmed overwhelmingly from increased vaccination rates. But the data – in this case, from the OurWorldinData.org website, provide no support for this conclusion.

Specifically, on August 24, when the 7DA of daily covid-related deaths was skyrocketing at that awful 77.90 percent weekly rate, 51 percent of Americans were fully vaccinated against the CCP Virus, and 9.1 percent were partly vaccinated. By yesterday, these figures were only 55 percent and 8.8 percent, respectively.

On August 9, when the 7DA for covid-related hospitalizations was growing by 34 percent week-on-week, half of Americans were fully vaccinated and 8.5 percent were partly vaccinated. Through yesterday, those numbers hadn’t changed dramatically, either.

Could mask-wearing be responsible? Trouble is, I haven’t seen any figures on how this practice has changed in recent months. (If you have, let me know.) As far as I’m concerned, the real reasons for this good CCP Virus news have to do with rising levels of natural immunity (especially important given Delta’s virulence), the distinct possibility that the CCP Virus is one of those pathogens whose lethality wanes as it mutates (an important Delta consideration, too), and the nation’s better treatment record – due to a combination of more experienced doctors and new therapeutics.

In early 1815, then-General Andrew Jackson led American forces to a great victory over the British in the Battle of New Orleans. But due to that era’s painfully slow communications, the triumph came about two weeks after the United States and Great Britain signed the treaty ending the War of 1812.  It makes me wonder how long the U.S. public and private sectors — which don’t have the communications excuse — will keep threatening the economy’s recovery with redoubled anti-virus measures just as the pandemic tide appears to be turning.   

Im-Politic: The Pandemic is Over! (Unless It’s Not?)

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Biden, CCP Virus, Chincoteague, coronavirus, COVID 19, facemasks, Im-Politic, lockdowns, Maryland, mask mandate, Prince George's County, Riverdale Park, shopping, shutdowns, stay-at-home, Wuhan virus

Some recent experiences of mine, though of course by definition anecdotal and therefore inconclusive, have still been mixed enough to indicate that President Biden is right about his plan for the July 4^th holiday. His idea of using Independence Day “to mark the country’s effective return to normalcy after 16 months of coronavirus pandemic disruption” may be just what many Americans still need to shed the “masks for all” and “stay at home” mentalities despite major signals from political and public health authorities’ at all levels of government that such hypercaution is no longer necessary.

In fact, these experiences have not only been mixed. A couple have been downright puzzling.

For instance, as I’ve written previously, my town in a Maryland suburb of Washington, D.C. is pretty darned woke. It’s granted the right to vote in local elections to all illegal aliens 16 years of age and older who can show they’ve just briefly resided in Riverdale Park. And when it comes to the virus, many residents seem to have been caught up in pandemic virtue-signaling and scolding. In addition, our county – Prince George’s – has been lifting virus-related restrictions much more slowly than the rest of the state. (In fairness, it’s infection and hospitalization rates have consistently been on the high side.)

But on one of my (quasi-) daily strolls through the town, during the same conversation, a thirty-something neighbor both proclaimed himself “one of the wokest people you’ll ever meet” and declared that “this [virus] thing is over!” And for the first time since I began noticing him sitting on his porch and met him a few months ago, we shook hands.

In addition, at the local farmer’s market where last summer I was scolded for lowering my mask to sniff some fruit for ripeness (see the above-linked September 26, 2020 RealityChek post) two weeks ago, no one scolded me for paying a visit maskless even though face coverings were still being worn a this outdoor venue (including by folks who almost certainly, like me, are fully vaccinated). And no one scolded me this time for sniffing some fruit.

Best of all, about a week ago, I was able to shop maskless at my mainstay grocery store. What a thrill to be able to spend my normal hour-and-a-half going through the aisles without a piece of cloth smothering my bearded visage and getting sucked halfway into my mouth with each inhalation!

At the same time, on my previous trip to this store, masks seemed to still be required – even though the county’s indoor mask mandate had been lifted, even though the company’s website specified that its stores in this county would no longer require masks, and even though the floor markers in the aisles aimed at aiding social distancing had been removed for about a month. (They remained for the checkout lines.)

Normality signals were even more oddly mixed on a recent trip to a favorite beach destination: Chincoteague, Virgina. Since the town relies heavily on vacationers, and presumably had been hard-hit by travel curbs and lockdowns, I expected that it hoped for virus-related curbs to be lifted sooner rather than later. Moreover, without having researched its politics, I surmised that it’s on the whole a risk-tolerance and decidedly conservative place – both because it’s still small and seemingly tradition-minded (though apparently by no means averse to the noteworthy development that’s taken place during the three decades that I’ve been visiting), and because more than a few residents still earn their living at hard-scrabble actitivies like fishing, or are descended from those who did. Indeed, on the three-hour drive there from Prince George’s, through other pretty similar towns and farmland, a handful of Trump-Pence signs could still be seen – but no Biden-Harris placards.

Yet I was still pretty taken aback by how crowded the area was for an early June mid-week stretch of days, and even more surprised to learn that Chincoteague had been hopping since March. As I was told by several wait staff and merchants, “People really want to get back to their lives.” Which made perfect sense to me upon remembering that Chincoteague tends to attract a much more middle-class and (for lack of a better term) middle-brow crowd than nearby beach towns that tend to be either college student or yuppie meccas.

Even so, one of three of the four restaurants we patronized (and always patronize) in town and along the way required masks in the waiting area and any time customers left their tables. All the staff wore face coverings, too. In our other three favorites, neither customers nor staff were wearing masks at any time. One of the town’s book stores mentioned on its website (but not on the premises) that masks are mandatory, but when I entered mask-less and offered to show the co-owner behind the counter my vaccination card, she laughed and said not to bother. This relaxed attitude, however, wasn’t evident on its upper level, which I’ve always liked because of the easy chairs that enable you to thumb through your prospective purchases while taking a load off. The easy chairs were marked off-limits till the pandemic passed – whenever that’s supposed to be.

Further, the much smaller, much more ramshackle book shop about halfway to (or from) Chincoteague greeted customers with a big “Masks Required” sign on the front door. I had my vaccination card with me then, too, but didn’t want to make a scene – partly because it’s a much more close-quarters place than its Chincoteague counterpart. So I endured the mask inhalation thing while squeezing through and contorting myself around the incredibly cramped (but incredibly well stocked) paperback science fiction section in search of gems for a buck.

So I’ll be rooting for the President to be in top form if he does indeed declare July 4^th to be Independence from the Virus Day. And due to his own hypercaution for so long, he could well be a highly credible carrier of the message that it’s finally time for all Americans who don’t need to take special precautions to understand that it’s really over.

(What’s Left of) Our Economy: More Reopening, Not Endless Money, is Now the Best Jobs Strategy

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African Americans, American Rescue Plan, Biden, CCP Virus, coronavirus, COVID 19, Covid relief, education, Employment, Federal Reserve, Hispanics, hotels, Jerome Powell, Jobs, Latinos, leisure and hospitality, lockdowns, recovery, restaurants, shutdown, stay-at-home, stimulus package, unemployment, wages, Wuhan virus, {What's Left of) Our Economy

There’s no doubt that the American jobs market has suffered an out-and-out disaster since it got hit by the CCP Virus and the follow-on lockdowns and other restrictions. There’s also no doubt that many workers and their families are still suffering greatly, and will need government aid to make it to the Other Side, and the Biden administration’s American Rescue Plan legislation that the President will likely sign into law soon will help fill this gap.

Plenty of doubt remains, however, about whether all, or close to all, of the massive funds approved in this measure are actually needed to cure the economy’s remaining employment woes, and one of the main reasons is the nature of the jobs blow that’s been delivered. Because it’s been so heavily concentrated in the country’s leisure and hospitality industries (encompassing eateries and drinking places of all kinds, plus hotels and motels, and entertainment and cultural venues), it’s entirely possible that nowadays, the most effective way to fix the jobs market fastest would be to lift the lockdowns and other mandated curbs that have fallen so hard on sectors that depend on serving in-person customers.

The case for relying on a virus-relief/stimulus package this big, at this stage of the economy’s recovery from its pandemic-induced recession, has been eloquently stated by President Biden and by Federal Reserve Chair Jerome Powell. The former warned just before the legislation passed that the U.S. economy “still has 9.5 million fewer jobs than it had this time last year. And at that rate, it would take two years to get us back on track.”

The latter has stated that he won’t be satisfied that full employment has returned until he sees what one reporter has called “broad-based gains in employment, and not just in the aggregate or at the median.” As a result, the Fed Chair is paying particular attention to (the reporter’s words again) “Black unemployment, wage growth for low-wage workers and labor force participation for those without college degrees, categories that historically have taken longer to recover from downturns than broader metrics.”

But it’s precisely these less fortunate portions of the workforce that would be helped disproportionately – and then some – by focusing on reopening steps that would surely affect the leisure and hospitality industries just as disproportionately.

If you doubt the importance of leisure and hospitality job loss over the last year in terms of overall U.S. jobs loss, here’s what you need to know. Of the 8.068 million positions shed by the country’s private sector between last Februrary (the final month of pre-CCP Virus normality for the American economy), fully 3.451 million have come in the leisure and hospitality industries. That’s nearly 43 percent.

Put differently, during that final normal economic month, leisure and hospitality workers represented just 13.04 percent of all private sector workers. Yet their employment plunge was more than three times as great relatively speaking.

Moreover, leisure and hospitality’s progress in getting back to pre-pandemic square one has been slower than that of the private sector overall. Since the April employment trough, leisure and hospitality has regained 4.955 million of the 8.224 million jobs lost during the worst of the pandemic, or 60.25 percent. For the private sector in toto, 13.267 million of the 21.353 million jobs lost in March and April have come back since – 62.13 percent.

It’s also clear that many of the kinds of workers about which Fed Chair Powell has been most concerned are concentrated in leisure and hospitality. For example, in 2019, (America’s last pre-CCP Virus full year), 13.1 percent of these sectors’ workers were African American versus 12.3 percent for the entire U.S. economy (including government workers at all levels), and 24 percent were Hispanic or Latino versus 17.6 percent for the entire economy.

Leisure and hospitality companies tend to employ Americans with low levels of formal education, too. According to the Labor Department, in 2019, 79.9 percent of the nation’s “first-line supervisors of house-keeping and janitorial workers” 25 years and older lack even an associate’s degree, and 76 percent of their food preparation and service counterparts fall into this category. The shares are even higher for the workers they supervise. Meanwhile, only 51.5 percent of all U.S. workers haven’t taken their education beyond high school.

Not surprisingly, therefore, leisure and hositality jobs pay poorly. In February, 2020, just before the arrivals of the pandemic and the lockdowns, their average hourly wages were only 59.28 percent those of all private sector workers. Last month, this figure had fallen to 57.58 percent. (See Table B-3 here.) 

For most of the pandemic period, the U.S. government at all levels pursued a mitigation strategy that aimed mainly at curbing economic and other forms of human activity across-the-board. Now, even with vaccinations and growing population-wide immunity showing strong signs of bringing the pandemic under control, the Biden administration and the Democratic Congress are just as determined to stimulate the economy that’s still significantly shut down by with an American Rescue Plan that seems just as indiscriminate.

As I’ve been writing (see, e.g., here), it should have been clear since late last spring that the anti-virus fight would have much more effective (and less harmful to the economy and other dimensions of public health) had it targeted protecting especially vulnerable populations. I strongly suspect that, with the fullness of time, it will become just as clear that a stimulus and jobs strategy emphasizing accelerating reopening, and thus aiding sectors and workers hardest hit by the remaining shutdowns, will prove a much more effective employment cure than the indiscriminate spending approach on which Washington has just doubled down.

(What’s Left of) Our Economy: In Case You Still Doubt How Much Manufacturing Matters

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automotive, CCP Virus, coronavirus, COVID 19, electronics, Immigration, infotech, Nikkei Asia, semiconductors, stay-at-home, Taiwan, TSMC, wages, Wuhan virus, {What's Left of) Our Economy

One of the most encouraging recent developments in American public policy lately is the virtual disappearance of the idea that manufacturing boasts no special importance to the American economy. I guess that’ll happen when a pandemic reveals dangerous shortages of key medical equipment (and the long supply chains needed to supply equally key parts, components, materials and the production equipment to make all of these items).

Ditto for the loss by a U.S.-based company (Intel) of the global lead in the knowhow to produce the world’s most powerful semiconductors – which run not only the world’s exploding numbers of electronics devices and networks, but soaring percentages of production machinery, as well as lying at the heart of nearly all present and future defense-related goods.

But I’m far from taking this triumph for granted – no doubt because this victory has been so recent, and because I’ve spent so much of my career making the case for government promotion of manufacturing against a free market-worshipping opposition that not only represented an entrenched conventional wisdom, but that could vastly out-spend and therefore practically drown out us “industrial policy” supporters.

And that’s why I was so pleased to see an article just out from the Japanese publication Nikkei Asia that dramatically illustrated how a robust national manufacturing base can supercharge an entire national economy and its workforce’s well-being.

Nikkei Asia described the effect on Taiwan of the new expansion programs being carried out by its world-class semiconductor manufacturing company TSMC (the firm that, along with South Korea’s Samsung, has taken the global microchip manufacturing technology lead from Intel). TSMC’s planned growth is dramatic, largely because the CCP Virus and its effects have created such surging demand for and consequent shortages of microchips. Blame (or credit) the booming popularity of semiconductor-powered electronic devices critical for increasingly popular stay-at-home work and leisure, and the on-and-off jolts generated by the pandemic for giant semiconductor-using industries like the automotive sector.

Compounding the impact, according to authors Cheng Ting-Fang and Laury Li, is the trend of “other Taiwanese companies…bringing production home from China amid Beijing-US trade tensions.”

And the results? “Business has never been brisker for construction companies in Taiwan….” Consequently, wages are way up for construction workers with both ordinary skill sets and specialized knowledge. But even though labor shortages are evident, Taiwan’s government shows no signs of killing this living standards bonanza by trying to open immigration flood gates.

As explained by a manager in the construction industry itself, “Foreign workers are not the ultimate solution as the government sets limits on their entry and many positions, such as electroplating specialists, require professional knowledge.”

Bottlenecks are already appearing and more are sure to come. But it also seems that Taiwan’s businesses will be solving the problem in the way that brings the greatest, most broadly shared national benefits – with technological and managerial innovation (i.e., by improving productivity) rather than by suppressing wages via artificially pumping up Taiwan’s labor supply.

At the same time, it’s not just workers that are in great demand on Taiwan. As the Nikkei Asia article specifies, “Cranes, trucks, excavators and all manner of heavy vehicles stream in and out of the vast construction site for” TSMC’s new advanced semiconductor factory in the city of Tainan. So the need for these machines is pressing, too – and thus for the workers and machinery needed to turn them out.

Is there a downside? Absolutely. Higher wages (and they’ve advanced throughout the economy) have driven major real estate and housing price increases (though the wage hikes indicate that affordability remains pretty much the same, and therefore bubble fears are unwarranted so far). And Taiwan’s water supplies and other infrastructure systems are under strain.

Overall, though, I’d bet on Taiwan to cope successfully with these and other actual and potential problems – which most other countries would actually love to have. And that’s precisely because, to a practically unrivalled extent, the country knows how much manufacturing matters. 

Full disclosure: I own some TSMC stock.  

 

Im-Politic: For Biden, It’s Americans Last on Migrants and the Virus

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asylum seekers, Biden, CBP, CCP Virus, coronavirus, COVID 19, detention, Donald Trump, El Salvador, Guatemala, Honduras, ICE, Im-Politic, immigrants, Immigration, Immigration and Customs Enforcement, Journal of the American Medical Association, lockdowns, Mexico, migrants, Remain in Mexico, stay-at-home, testing, U.S. Customs and Border Patrol, Worldometers.info, Wuhan virus

Some of you might have heard and been concerned about reports that President Biden’s new policies will result in migrants caught by U.S. border authorities being released into the United States without being tested for the CCP Virus. If you knew how much potential for superspread these policies hold, you’d be even more concerned.

Under President Trump, the problem appeared under control because Washington ended the policy of processing migrants who crossed the southern border illegally and then releasing them into the United States to await future hearings on their requests for permanent residency. Instead, apprehended migrants claiming to be asylum seekers, were returned to Mexico (whatever their nationality) until their cases could be brought up. And last March, these policies were extended to all would-be border crossers due to pandemic concerns.

Yet due at least partly to the Biden administration’s immigration-welcoming statements and actions (including during the campaign), migrant flows northward have surged, and current U.S. detention centers have been filling to overflowing despite American court orders preventing them from holding detainees for more than 72 hours in certain facilities in Texas. Worsening the situation has been Mexico’s new refusal in some instances to accept migrants expelled from U.S. territory. (See here for details.) And the new U.S. President seems determined to facilitate immigration inflows generally.

Therefore, the U.S. Customs and Border Enforcement (CBP) agency publicly acknowledged last week that “some migrants will be processed for removal, provided a Notice to Appear, and released into the U.S. to await a future immigration hearing.” Crucially, this practice is proceeding even though CBP doesn’t test arrivals for the CCP Virus unless symptoms are visible. (See the previously linked article for the statement.) 

Which is where the public health threat comes in. Because data from the virus has seemed to be unusually prevalent among these migrants. To begin with, although figures only go through August, a paper published by the Journal of the American Medical Association (JAMA) found that the monthly rate of cases in detention centers was more than 13 times that for the U.S. population as a whole.

Although the JAMA authors wrote that increased testing at the centers only partly explains these high numbers, it also points out that they may also stem from “challenges faced implementing the Pandemic Response Requirements” – like overcrowding. At the same time, they confirm that because asymptomatic detainee testing has been “limited,” even these case numbers could be underestimates. And since migrants tend to be relatively young, asymptomatic cases are surely more common than among legal U.S. residents generally.

The total number of virus cases found among migrants in the detention centers since February has been small – just over 9,300. But the real measure of the danger comes from the incidence of the CCP Virus in the migrants’ main native countries – which look to be sources of large and ever greater greater supply going forward.

Yes, their overall case rates are much lower than their U.S. counterparts, as these data from the Worldometers.info website show:

cases per million

U.S.:                  83,687

Mexico:            14,920

Guatemala:         9,052

Honduras:         15,573

El Salvador:        8,708

One big reason, however, is that they’ve done so little testing, as these numbers from the same source make clear:

tests per million

U.S.:               984,900

Mexico:            37,781

Guatemala:      45,624

Honduras:        39,569

El Salvador:   110,338

Given the immense virus-related uncertainties revealed by these statistics, any measures that increase the numbers of untested migrants in the United States are simply incomprehensible for any government taking seriously the obligation to protect its own population. And given the tight controls already restricting individual, group, and business activities in the United States, these Biden decisions seem even less defensible.

It’s one thing for the new President to reject an America First framework for public policy. It’s quite another to adopt positions that merit the bizarre and perverse label “Americans Last.”

(What’s Left of) Our Economy: The Latest on the Virus, Lockdowns, and Jobs

Tags

California, CCP Virus, coronavirus, COVID 19, Jobs, Labor Department, lockdowns, New York, public health, states, stay-at-home, Wallethub.com, Wuhan virus, {What's Left of) Our Economy

With the release last week of the Labor Department’s U.S. state-level employment data for December, we have a great new handle on the relationship between the various lockdown and stay-at-home policies mandated throughout the country, and the still horrific toll on job losses during the CCP Virus era.

And as with recent statistics on state-level economic growth (and contraction) rates (see here and here), the numbers seem to point to the economic curbs themselves as the biggest influence on employment levels and changes, as opposed to other factors, like individuals’ virus-induced fear of using various types of in-person services (like travel) and the resulting knock-on effects throughout the entire economy.

One major indication of the mandates’ impact comes, as with the growth figures, from the outsized job losses experienced in New York and California, two states with some of the most severe lockdown regimes imposed over the past year.

In December, 2019, just before the virus began spreading to the United States, New York and California accounted for 18.37 percent of all the nation’s non-farm jobs (the Labor Department’s U.S. jobs universe.) But one year later, their employment losses came to 27.91 percent of the U.S. total.

Additional reasons for blaming the mandates for the employment damage come from comparing the performances the best and worst jobs performers, and the least and most restrictive states. As with the previous post on growth levels, the ranking of mandate strictness comes from the Wallethub.com website. (And sharp-eyed readers will note that the rankings have changed over the last few months, which makes perfect sense since the lockdown regimes’ extent has fluctuated, too.)

First let’s see the Wallethub ranks of the states with the best employment records between December, 2019 and December, 2020. (The lower the rank, the more “open” the state.)

Top 10 job performers (by % change)       Wallethub.com rank

1. Idaho: +0.6                                                          14

1. Utah: +0.6                                                             6

2. Mississippi: -1.4                                                  21

3. Alabama: -1.7                                                      12

3. Georgia: -1.7                                                       18

4. Nebraska: -2.3                                                     17

5. South Carolina: -2.4                                            10

6. Arizona: -2.8                                                       30

6. Arkansas: -2.8                                                       4

6. Indiana: -2.8                                                       20

7. Montana: -2.9                                                     13

7. South Dakota: -2.9                                               2

8. Missouri: -3.1                                                       7

9. Tennessee: -3.2                                                  19

10. Texas: -3.3                                                        28

Right off the bat you’ll see that because of ties, the Top 10 is really a Top 15 – which actually serves our purposes even better. And the big takeaway here is that with one exception (Arizona) and one near-exception (Texas), all of these states rank in the top half on the open/closed scale (26 and lower for the 50 states plus the District of Columbia).

And of these 15 states, four were among the ten most open, and twelve were among the twenty most open.

Does the reverse proposition hold? Have the most closed states generally compiled the worst employment records? Here’s what the numbers say:

Bottom 10 job performers (by % change)     Wallethub.com rank

1. Hawaii: -13.8                                                          43

2. Michigan: -10.9                                                      29

3. New York: -10.4                                                     39

4. Massachusetts: -9.1                                                49

5. Vermont: 9.0                                                           45

6. New Hampshire: -8.8                                             23

7. Rhode Island: -8.7                                                  36

8. Minnesota: -8.3                                                      32

9. California: -8.0                                                       51

9. New Jersey: -8.0                                                     34

10. Delaware: -7.8                                                      33

10. Pennsylvania: -7.8                                                35

10. Oregon: -7.8                                                         37

Because of the “tie effect,” this Bottom 10 set is really a Bottom 13. Four of them fall in the category of ten most restrictive states (ranked between 51 and 41 on the Wallethub scale), and seven more are among the next ten most restrictive states. Moreover, only one state (New Hampshire) has been in the top half of most open states. So the relationship between lockdowns and employment performance looks strong from this perspective as well.

The issue can be examined the other way around, too – by examining the employment performance of the most open and least open states. Here are the results for the ten most open states. (As with the list of ten most closed states below, the Top Ten here really is a Top Ten.) They’re presented in descending order of openness.) 

Ten least restrictive on lockdowns         Job creation rank (out of 37)

Oklahoma:                                                                15

South Dakota:                                                            6

Iowa:                                                                         11

Arkansas:                                                                   5                  

Florida:                                                                    14

Utah:                                                                          1

Missouri:                                                                   7

Wisconsin:                                                               25

Alaska:                                                                    24

South Carolina:                                                         4

Revealingly, fully half of these states were among the ten states with the best employment records, three more were in the next ten. Consequently, eight of the ten ranked in the top half on the openness scale. (Because of the “tie effect,” the top half here starts at number 19 – of 37 differing state rankings).

And although Oklahoma looks like something of an exception here (the most consistently open state being only the 15^th best jobs performer), there’s a pretty simple explanation: Oklahoma’s economy is energy-heavy, and that sector has been absolutely slammed the deep recession experienced during the CCP Virus period.

Florida, which relies so heavily on tourism, has an “excuse” as well. (By the same token, though, it’s no coincidence that the worst employment performer, Hawaii, is tourism-dependent as well, along with fellow job laggards California and, to a lesser extent, New York.)

Finally, the table below shows how the most closed states fared in terms of job loss.  These are presented in descending order of “closed-ness.”

Ten most restrictive on lockdowns          Job creation rank (out of 37)

California:                                                                  31

Virginia:                                                                     12

Masschusetts:                                                             34

District of Columbia:                                                 21

New Mexico:                                                             26

Washington:                                                               18

Vermont:                                                                    33

North Carolina:                                                          10

Hawaii:                                                                      37

Illinois:                                                                      24

Fully four of these ten have been among the five worst employment states during the virus period (including tourism-reliant Hawaii and California). Three more (Illinois, New Mexico, and the District of Columbia) joined them in the bottom half. Of the two exceptions, Virginia’s solid employment record surely stems from its status not only as a state with a strongly growing information technology sector and an army of federal workers (many of whose jobs in turn owe to federal contracting).

One last point should be remembered as well: As extensively documented, the lockdowns and stay-at-home orders have generated their own serious healthcare damage . So the states with the relatively limited mandates surely have curbed both these CCP Virus costs as well as economic damage. Meaning that the already compelling case for anti-virus measures targeting the most vulnerable rather than indiscriminately putting the clamps on businesses and other forms of activity has just grown that much stronger.

Im-Politic: Did “The Science” Give Us the Virus?

Tags

Anthony S. Fauci, bio-weapons, CCP Virus, China, coronavirus, COVID 19, Im-Politics, Joe Biden, lockdowns, National Institutes of Health, New York, Nicholson Baker, pandemics, public health, SARS, stay-at-home, terrorism, Trump, virology, Wuhan virus

That’s a pretty stunning header, I know. But it’s anything but crazy, or even click-baity – at least if you take seriously a long, very serious, and very carefully reported article published January 4 about the CCP Virus’ origins in New York magazine, which hasn’t exactly been an enthusiast for President Trump or science- or China-bashing.

For author Nicholson Baker makes clear not only that for years before the Trump era, America’s top public health officials (who epitomize “The Science” that all the adults in the nation’s room from President-elect Joe Biden on down have anointed as the only valid sources of U.S. and global virus policy advice) pushed measures certain to boost the odds that something like Covid 19 would be created, and somehow escape from, a laboratory someplace in the world – including China.

And notably, one of the main pushers was one Dr. Anthony S. Fauci, Director of the National Institutes of Health’s (NIH) National Institute of Allergy and Infectious Diseases.

It’s important to make clear here what Baker isn’t saying. He isn’t saying that the Chinese manufactured the virus as a bio-weapon. He isn’t saying that Beijing loosed this pandemic on the world on purpose. And he certainly isn’t accusing Fauci and the rest of the public health establishment of acting maliciously.

But what he is saying is awfully damning, and urgently needs to be examined by the incoming Biden administration, the entire U.S. political and policy communities, and of course the public.  For Baker marshalls and summarizes voluminous evidence for the proposition that the most reasonable theory of the virus’ origin is not that in its highly infectious form it developed naturally in some mammal species (like a bat) and then jumped to humans (e.g., at a wet market) – the explanation offered at various times by the Chinese government and by many infectious disease specialists. Instead, the author supports the idea that it was produced by scientists from a naturally occuring mammalian virus, specifically by scientists at one of the three advanced virology facilities in and around the city of Wuhan.

And then, Baker – who is extremely careful to distinguish between facts and suppositions – speculates that “it eventually got out” by hazard. Release via “a lab accident — a dropped flask, a needle prick, a mouse bite, an illegibly labeled bottle,” he emphasizes, “isn’t a conspiracy theory. It’s just a theory.” But he rightly argues that “It merits attention…alongside other reasoned attempts to explain the source of our current catastrophe.”

But where do the roles of the U.S. and global public health establishments come in? During recent decades, as Baker reports, scientists have been conducting “’gain of function’ experiments — aimed to create new, more virulent, or more infectious strains of diseases in an effort to predict and therefore defend against threats that might conceivably arise in nature.” And many of these experiments were funded by the Fauci’s Institute at the NIH. (Similar work was being funded by the Defense Department, whose interest in bio-weapons and fighting them was reawakened by the increase in global terrorism in the 1990s and the prospect that germs like anthrax would be used to advance extremist goals. This threat, of course, materialized right after September 11 with letters containing the germs sent through the mail – in an immense irony – by a U.S. government bio-weapons researcher.)

As implied immediately above, Fauci and his colleagues had the best of intentions. But as Baker documents exhaustively, they ignored numerous warnings from fellow professionals that, in no less than two related ways, they might be creating a problem far worse than that they were trying to solve. First,in their determination to design in the lab super-dangerous bio threats that terrorists hypothetically might some day create and use, they lost sight of how their own experiments could unleash such actual threats in the here-and-now due to the real possibility of leaks (hardly unknown in the world of biological research).

In Baker’s words, “Why, out of a desire to prove that something extremely infectious could happen, would you make it happen? And why would the U.S. government feel compelled to pay for it to happen?” Echoing these worries were numerous scientists, such as Johns Hopkins biomedical engineer Steven Salzberg, who noted several years ago, “We have enough problems simply keeping up with the current flu outbreaks — and now with Ebola — without scientists creating incredibly deadly new viruses that might accidentally escape their labs.”

Second, no evidence has been found yet that any of the coronaviruses that are naturally occuring and that have infected humans (like the SARS “bird flu” – which actually came from mammals – of 2002-03) are remotely as contagious as their lab versions, or are found in animals that often come into contact with humans outside China and its wet markets. In fact, Baker quotes Rutgers University microbiologist Richard Ebright has describing Chinese virologists’ efforts to scour remote locations for animal sources of natural coronaviruses that can be supercharged in a lab as “looking for a gas leak with a lighted match.”

In addition, Fauci arguably magnified these dangers by channeling some of the U.S. government funding for “gain of function” research to the Wuhan virology labs. On the one hand, this decision made sense (as long as gain-of-function was being sought in the first place) because China has been the origin point of so many mammalian coronaviruses, and therefore the home of so many leading virus specialists. On the other hand, safety first hasn’t exactly been a national Chinese watchword.

So the implications for simply “following The Science” seem clear. And they go beyond what should be (but isn’t) the screamingly obvious point that, especially in a field as new and rapidly changing as this branch of virology, there is no “The Science.” Expert opinion almost inevitably will be mixed, and politicians and their journalist mouthpieces flocking to one side while completely ignoring the other is bound to end badly. Matters are bound to end even worse, of course, when the favored faction aggressively tries to stamp out and discredit as “conspiracy thinking” the other’s theories – as Baker shows indisputably was the case with public health authorities and experts (including Fauci) who continue to try absolving the Wuhan labs from any responsibility.

More important, this tale bears out what I and many others have written for months (e.g., here): The pandemic is a crisis with many dimensions – economic and social as well as medical. The public health establishment’s contributions are indispensible. But not only is its expertise limited. Like any other human grouping defined by common characteristics and experiences like fundamental interests and educational backgrounds and occupational environments, this establishment is influenced by its own distinctive unconscious biases and predispositions.

In this case, in Baker’s words, some of the most important are “scientific ambition, and the urge to take exciting risks and make new things.” All of which are perfectly fine and even praiseworthy – in their place.

Further, the medical dimension of the crisis is complex, too, as shown both by all the evidence of major public health costs generated by the lockdown and stay-at-home orders championed so singlemindedly by Fauci and his acolytes, and by the strong disagreements among the virologists and similar researchers laid out in such detail by Baker. So it’s the job of political leaders to take all these considerations into account, not to act as if only one cohort of advisers has a monopoly on wisdom in all relevant areas.

And let’s end on an O’Henry type note. I can’t resist pointing out that President Trump, too, has been one of those U.S. leaders whose administration has robustly funded this gain-of-function research – one of the few instances in which he’s, apparently with no objections, followed The Science.

(What’s Left of) Our Economy: U.S. Manufacturing’s Biggest 2020 Winners & Losers

Tags

aerospace, automotive, Boeing, CCP Virus, computer and electronics products, consumer goods, coronavirus, COVID 19, energy, Federal Reserve, food products, fossil fuels, furniture, housing, industrial production, inflation-adjusted output, lockdowns, machinery, manufacturing, on-line shopping, stay-at-home, travel, wood products, Wuhan virus, {What's Left of) Our Economy

Thanks to last Friday’s release of the Federal Reserve’s report on December U.S. manufacturing production, it’s possible to identify the sector’s biggest winners and losers for inflation-adjusted growth. And their ranks include some notable surprises. (As with all U.S. government economic data, though, there’ll be plenty of revisions over the next few years.)

First, let’s keep in mind that the following categories are pretty broad, including a wide range of products whose performances have varied just as widely. For example, as noted previously (e.g., here), “machinery” contains everything from machine tools to heating and cooling equipment to semiconductor production gear to turbines to construction equipment to farm machinery.

Still, these groupings are specific enough to show how much care is needed when generalizing about the performance of a piece of the economy as big as manufacturing. Moreover, they’re the categories that come early on in the incredibly detailed presentation each month of manufacturing output results deep in the weeds of the Fed’s own website.

With these observations in mind, the five strongest growers (or most modest shrinkers) in manufacturing during 2020 were automotive (vehicles and parts combined) at plus-3.64 percent; food, beverage, and tobacco products (up 0.40 percent), wood products (0.38 percent), computer and electronics products (up 0.14 percent), and non-metallic mineral products (down just 0.52 percent).

The biggest losers? Petroleum and coal products (down 13.34 percent); printing and related activities (off by 10.41 percent); furniture and related products (down 9.86 percent); non-durable miscellaneous manufactures (down 8.57 percent); and aerospace and other non-automotive transportation equipment (an 8.27 percent contraction).

Some of these results were entirely predictable. For example, petroleum and coal products essentially entails the fossil fuels industries, which have been decimated by the overall U.S. and global economic slumps triggered by the CCP Virus, and by the particular hit taken by business and leisure travel. And don’t forget the lingering effects of Boeing’s safety troubles. Moreover, of course those Boeing woes in turn have taken their toll on the aerospace sector.

On the flip side, despite major concern about the strength of America’s food supply chain, it proved impressively resilient. And since Americans didn’t stop eating, real food production expanded – although as the table below shows, its this expansion was much slower than in 2019.

I’m not sure what’s been up with furniture, though, especially considering that the good performance of wood products surely reflects the strength of a domestic housing industry that should have spurred production of furniture. Moreover, so far, the 2020 trade statistics reveal no significant increase in imports.

Non-durable miscellaneous manufactures are something of a puzzle, too. This category includes items like jewelry, silverware, sporting goods, toys, and musical instruments. Since on-line shopping has propped up consumption during the pandemic period, purchases and domestic production of these goods should have remained strong, too – even though many of these sub-sectors have long dominated by imports.

And speaking of imports, a clear sign of their importance is the negligible growth of the domestic computer and electronics industries. It’s clear that the virus and related lockdowns and stay-at-home orders has greatly increased demand for information technology products. But it’s evident that the biggest winners weren’t U.S.-based suppliers. In fact, 2020 growth was way below 2019’s, as the table below shows.

Meanwhile, the solid growth of the automotive sector is pretty remarkable, since the sector literally shut down almost completely in March and April. That looks like awfully strong evidence that much of the economic damage of the pandemic period has stemmed from government restrictions, and not from any inherent weakness in the economy.

In any event, below are the results for all of manufacturing’s main big industry groups, along with the data for the durable goods and non-durable goods super-sectors, and industry overall. For comparison’s sake with the pre-CCP Virus period, I’ve also presented their after-inflation growth for 2019. And a year from now, the final Fed 2021 statistics will permit judging just how complete a retun to normalcy has been achieved.

                                                                              2018-19              2019-20

manufacturing                                                        -1.06                   -2.63

durable goods                                                         -1.70                   -2.97

wood products                                                       +3.58                  +0.38

non-metallic mineral products                               -1.17                   -0.52

primary metals                                                       -2.69                   -7.66

fabricated metals products                                     -1.72                   -5.38

machinery                                                              -2.39                   -3.80

computer & electronics products                          +6.19                  +0.14

electrical equipmt, appliances & components       -1.71                   -1.68

motor vehicles and parts                                        -9.05                  +3.64

aerospace and misc transporation equipment       +0.29                   -8.27

furniture and related product                                +0.34                   -9.86

miscellaneous manufactures                                +0.30                    -3.67

non-durable goods                                                -0.72                    -2.24

food, beverage and tobacco products                  +2.67                   +0.40

textiles and products                                            -2.24                    -5.04

apparel and leather goods                                    -7.50                    -3.64

paper                                                                    -2.37                    -1.91

printing and related activities                              -3.20                  -10.41

petroleum and coal products                               -1.32                  -13.34

chemicals                                                            -2.07                     -1.31

plastics and rubber products                               -3.24                     -0.78

other manufacturing                                           -8.59                      -8.51

(What’s Left of) Our Economy: The CCP Virus Lockdowns’ State-Level US Effects II

Tags

CCP Virus, Commerce Department, coronavirus, COVID 19, lockdowns, shutdowns, states, stay-at-home, Wallethub.com, Wuhan virus, {What's Left of) Our Economy

Yesterday’s RealityChek post presented some facts about the economic performance of America’s states during the CCP Virus era that struck me, anyway, as surprising and important. And it ended with the observation that two big states that have imposed relatively sweeping anti-virus curbs on business and consumer activity – New York and California – accounted for a considerably outsized share of the national economy’s shrinkage during the pandemic through the third quarter of this year (the latest economic statistics available).

Today’s post will use the same data – from a recent Commerce Department report – to show that overall, the states with the most restrictive lockdown etc regimes have generally experienced the biggest economic contractions. That conclusion may sound too obvious to bother thinking about, but it matters because economic distress, as I’ve written repeatedly, produces its own serious public health (both mental and physical costs). Moreover, at least according to most of the public health establishment, even if mass vaccination goes as quickly and smoothly as realistically possible, normality could still be nearly a year off.

As with the previous post, however, some qualifications need to be discussed, and in addition to yesterday’s, two more should be kept in mind. First, despite the connection between CCP Virus-related economic and business curbs on the one hand and slumping economies on the other, there’s a non-trivial number of exceptions, as will be shown below. So it’s distinctly possible that some states have found the kind of balance between still-sometimes (but not always) conflicting economic and public health imperatives that’s worth emulating.

Second, not only have the lockdowns etc been very on-and-off in nature since the pandemic became a pandemic in late winter, but measurements of these lockdowns’ scale unavoidably entail a pretty fair amount of subjectivity.

The source I’m using for this (at this link) looks on-target in general to me. But I have to admit puzzlement at some of the rankings. For example, the source organization, Wallethub.com, places Michigan right in the middle of these rankings – even though Michiganders have been among the most vehement opponents of virus curbs. Have many of the folks directly experiencing this state’s restrictions just been throwing unwarranted tantrums?

Moreover, Maryland, where I live now, has imposed pretty tight restrictions, too, although at least Republican Larry Hogan has been one of those governors who’s given different counties a fair amount of regulatory autonomy since the state (like even many smaller ones) is fairly diverse. But I’m not convinced that overall its curbs have been patchy enough to place it in the lockdowns-light half of states.

Meanwhile, New Mexico is ranked just a little more restrictive than Michigan, though my own look at this state’s policies concluded they’ve been quite lockdown-y.

But nobody’s perfect, so I’m going with Wallethub.com as my lockdown guide, and here’s what I did. First, I looked at the ten states whose economies grew the most (or contracted the least) between the firt and third quarters of this year, and identified where they stand in the Wallethub rankings, and then performed the same exercise with the ten states that suffered the worst contractions. The growth (and contraction) figures represented percentage changes in real gross domestic product, and the Wallethub scale assigns the least restrictive states the lowest numbers. Here are the results:

Top 10 1Q-3Q GDP                                               rank on lockdown scale

Utah: +1.07                                                                            3

Washington: +-0.44                                                             36

Delaware: -0.08                                                                   31

Arizona: -0.52                                                                     45

Iowa: -0.54                                                                            5

Idaho: -0.81                                                                           2

Indiana: -1.01                                                                      15

Georgia: -1.03                                                                     13

Arkansas: -1.27                                                                   10

Alabama: -1.34                                                                   14

The big takeaway? Of these ten states, seven imposed relatively light anti-CCP Virus restrictions

(earning rankings in the lowest half of the fifty states plus the District of Columbia). And four of these states were among the ten least restrictive states. So that looks like solid evidence that the relatively open states were rewarded with the best economic performances, and that this openness as such deserves significant credit. But three states on this list put into effect lockdowns on the tight side and fared relatively well economically, too – Washington, Delaware, and Arizona.

Have they found the policy sweet spot? Or is there something about their economies’ structures that have produced economic resilience? One observation pointing to the importance of structure: both Washington and Arizona boast highly developed tech sectors – Amazon and Microsoft, e.g., headquartering the former, and the latter containing much semiconductor production.

Here are the states with the worst growth performances during the pandemic:

Bottom 10 1Q-3Q GDP                                               rank on lockdown scale

Hawaii: -6.67                                                                              51

Wyoming: -5.24                                                                           7

New York: -4.56                                                                        38

Oklahoma: -3.84                                                                         4

Tenn: -3.33                                                                                18

Alaska: -3.28                                                                             12

Nevada: -3.14                                                                            20

New Jersey: -3.08                                                                     47

Vermont: -3.06                                                                          41

North Dakota: -2.98                                                                   9

And these results seem to cut against those of the previous list – because of these low growers, only four had imposed very restrictive lockdowns (Hawaii, New York, New Jersey, and Vermont). Further, three were among the very least restrictive states (Wyoming, Oklahoma, and North Dakota). And the other three were well in the half of states that have been least restrictive (Tennessee, Alaska, and Nevada).

Nonetheless, economic structure considerations as well as policy measures seem to be influencing these results. Principally, Wyoming, Oklahoma, and North Dakota all depend very heavily on a fossil fuels sector that has been plunged into a deep slump due to the virus’ overall economic effects. And lockdown-light-ish Nevada has suffered from the tourism depression.

Now let’s view the situation from the opposite perspective. Let’s take the states with the ten tightest and ten loosest lockdown regimes, and examine their respective economic performance. First, the ten tightest lockdowners, with the most resrictive at the top:

Most restrictive on lockdowns                                1Q-3Q GDP growth rank

Hawaii                                                                                    50

California                                                                               36

Mass.                                                                                      32

Maine                                                                                     34

New Jersey                                                                             47

Colorado                                                                                 33

Arizona                                                                                    4

Oregon                                                                                   20

Pennsylvania                                                                          37

Vermont                                                                                  41

Here the correlation between policy and performance looks awfully strong. Fully eight of the ten biggest economic loser states are among the states with the tightest lockdowns, and three of these are among the ten most restrictive. Interestingly, Arizona comes across as a standout according to this measure, too.

Economic structure is playing a role here, too – as seen by the presence of tourism-reliant Hawaii and Vermont. In addition, Pennsylvania’s become a big energy state thanks to the Marcellus shale formation, and Colorado has long depended heavily on both energy and tourism.

At the same time, Pennsylvania’s got lots of office workers who’ve been able to do their jobs from home – as does New Jersey (which along with New York was hit early and hard by the virus). And what gives with California – of course tourism-heavy, but in many ways the center of both high tech manufacturing and high tech service provision in the nation, not to mention research and development?

So lockdown decisions seem to have made major contributions to these states’ relatively deep downturns.

A similar conclusion seems justified from this list of the ten states that have permitted their economies to remain most open and imposed the fewest cubrs on behavior – with the least restrictive closest to the top:

Least restrictive on lockdowns                                1Q-3Q GDP rank

South Dakota                                                                     14

Idaho                                                                                   6

Utah                                                                                     1

Oklahoma                                                                         47

Iowa                                                                                    5

Wisconsin                                                                         11

Wyoming                                                                         49

Missouri                                                                           21

North Dakota                                                                   41

Arkansas                                                                            9

Seven of these ten lockdown-lightest states are in the top half of U.S. economic performers, four are in the top ten and one (Wisconsin) is Number 11. Moreover, the three conspicuous exceptions to this pattern – economically woeful Oklahoma, Wyoming, and North Dakota – are all, as previously pointed out, states that have suffered because they’re energy-heavy.

As a result, the way I see it, this table and at least two of the others of the four total presented here, along with yesterday’s state-level data, further strengthen the case that lockdowns per se have exacted major – though far from catastrophic –  economic prices. But by the same token, these results confront the nation with the question of far away the economic tipping point might be.