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How many jobs is the US likely to add this year?

Most economic forecasters expect very strong GDP growth in 2021 as the $1.9-trillion American Rescue Plan works its way through the economy and more people are vaccinated. The consensus is that real GDP will increase about 6% between the fourth quarter…

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By Louise Sheiner, Gian Maria Milesi-Ferretti

Most economic forecasters expect very strong GDP growth in 2021 as the $1.9-trillion American Rescue Plan works its way through the economy and more people are vaccinated. The consensus is that real GDP will increase about 6% between the fourth quarter of 2020 and the fourth quarter of 2021. If this growth materializes, output by the end of 2021 will be about back to the level it would have been had the pandemic not occurred (using the Congressional Budget Office’s pre-pandemic 2020 economic projection to gauge that level).

This will not be another jobless recovery. If the GDP forecasts prove accurate, we estimate that monthly payroll employment gains over the next 10 months will average between 700,000 and 1 million per month, a lot faster than many forecasters anticipate.

The pandemic recession was unlike any previous recession. The U.S. lost almost 9½ million jobs between February 2020 and February 2021, many more than one would have anticipated based on past episodes of declining GDP. The lost jobs were disproportionately low-wage, low-productivity jobs. The post-COVID recovery will be different as well. Jobs are likely to return at a faster pace than ever seen before on a sustained basis.

What factors will determine the pace of employment gains?

At one extreme, the economy could return to its pre-pandemic employment trajectory, reversing all the employment losses that have occurred during the pandemic. In that case, the level of employment at the end of 2021 should be about equal to CBO’s January 2020 projection of employment in 2021 Q4, which would require adding 11 million jobs over the remainder of the year. (This represents the 9½ million jobs lost since the start of the pandemic plus the normal growth of employment.) That would mean adding 1.15 million jobs per month, on average, over the next 10 months.

A more likely scenario is that the post-pandemic economy will differ from the pre-pandemic economy in some ways. Some jobs lost during the pandemic may be lost for good because firms have learned new ways to operate. Some jobs may take longer to return—some health-related restrictions may remain in place this year, and it may take time for firms to reopen and rehire even once it is safe to do so. So not all the increase in GDP is likely to come from the reopening of suppressed sectors of the economy. Instead, some of it will reflect a more broad-based increase in demand stemming from the large amount of fiscal stimulus. This increase in demand is likely to be associated with a more “usual” relationship between increased GDP and employment.

To gauge what the employment gains would be for a more normal boost to GDP from fiscal stimulus, one can use a variant of Okun’s law (devised by the late Brookings economist Arthur Okun) that relates employment changes to GDP changes. According to Ball, Leigh, and Loungani (2013), a 1 percentage point increase in real GDP growth is usually associated with a 0.54 percent increase in employment growth. Assuming real GDP increases 6% between the fourth quarter of 2020 and the fourth quarter of 2021, this would imply an average monthly job increase of 460,000 jobs per month over the next ten months—which would mean less than half of the jobs lost as a result of the pandemic would be recovered by the end of the year.

Why are these two estimates so different?

Employment losses caused by the COVID-19 recession have been unusually concentrated in low-wage jobs, as shown in the figure below (taken from the Fed’s semi-annual report to Congress). Because low-wage jobs are generally low-productivity jobs (in a national accounting sense), the job losses have been unusually large relative to the GDP losses. As these jobs come back, there will likewise be an unusually large increase in employment relative to the gains in GDP. In other words, because the workers who lost jobs produced less than the average worker, more of them would need to be hired to make up the lost output than would be suggested by Okun’s law, which is based on the historical experience, where the workers who lose jobs have wages closer to the average.

Employment declines for low middle high wage workers

Click figure to enlarge.

Which jobs will or won’t come back?

The figure below shows an estimate of the share of missing jobs by industry. We compare actual employment growth by industry to a counterfactual of what employment growth would have been in the absence of the pandemic; the counterfactual assumes that growth rate of employment by industry would have been similar to that observed in 2019.[1]

Employment losses in leisure and hospitality account for 33% of all missing jobs, followed by professional business services (8.8%), health services (7.5%), and local education (6.4%).  Diving into the details of the decline in professional and business services, we find that the declines are concentrated in services related to travel and facilities and business support.

Share of job losses by industry

 

Click figure to enlarge.

To get a sense of which jobs might not come back, consider which sectors of our economy are likely to take longer to recover and which sectors may never fully recover. There is a lot of uncertainty.

Take leisure and hospitality. With other countries not vaccinating as quickly as the U.S., it is possible that activities related to tourism by foreigners (and services provided in the U.S. to Americans who want to travel abroad) might remain depressed in 2021. According to the Bureau of Economic Analysis, foreigners account for 14% of spending on domestic tourism. But following a year of little travel, increased demand by Americans could make up for this.

In other industries, the uneven pace of vaccinations around the world means COVID is likely to continue to affect some supply chains. This could slow the pace at which employment in some industries hard hit by the pandemic recover.

It could take time for day care, camps, and schools to become fully operational. Vaccines for children have not yet been approved, and it is possible that schools won’t be back to normal for a while. If so, some of the employment losses caused by a decline in labor force participation of women due to childcare responsibilities may not recover right away. In addition, some of the large job losses in local education and childcare (under social assistance, in the chart above) could take time to reverse.

In other sectors, the pandemic will have permanent effects that will alter the composition of employment and GDP. Working from home will be much more common, which means fewer commuters in central business districts, resulting in a decline in demand for some restaurants, transit services, professional services (office management and general office services), and commercial construction (office buildings).

Another long-lasting effect of the pandemic maybe a reduction in business travel. Businesses account for about one-quarter of total tourism dollars, so a transition to fewer in-person meetings and conferences could slow the recovery of employment in travel and leisure and hospitality services. On the other hand, even if demand declines in the long run, the urge to make up for trips missed in 2020 may mean that business travel is robust in the second half of 2021.

Finally, in some sectors that have experienced large losses during the pandemic, total recovery seems likely. Other than possible delays in reopening schools, employment by state and local governments is likely to fully recover given the very generous federal assistance provided over the past year. Similarly, demand for healthcare in coming months is likely to be at least as high as it would have been pre-pandemic, given all the delays of elective procedures during the pandemic.

The bottom line is that most—though not all—of the job losses that have occurred since the start of the pandemic will likely be refilled over the coming year.

If 80% of the GDP growth comes from the unwinding of the effects of the pandemic, and 20% reflects a broader-based increase in demand, then employment gains will average about 1 million per month over the next ten months. If only 50% of the GDP growth is accounted for by the unwinding of the pandemic and the other 50% by an increase in broad-based demand—which seems somewhat pessimistic about the ending of the pandemic—then employment gains would still average about 800,000 jobs per month.

While those numbers seem extremely large, keep in mind that sectors most affected by the pandemic are the most employment intensive. If, for instance, employment in the hard-hit leisure and hospitality sector recovers to 90% of its pre-pandemic trend by the last quarter of 2021, this alone would add some 240,000 jobs a month between March and December.

What role does productivity play?

In the scenario where the recovery fully reverses pandemic-related job losses, we are implicitly assuming that productivity—output per hour of work—reverts to its pre-pandemic trajectory. Of course, it is possible that the pandemic and its recovery will affect productivity, but the direction of the effect, if any, is unclear.

Fernald et al (2021) suggest that productivity growth is likely to be somewhat lower following the pandemic, reflecting the fact that much of the capital investment during the year was simply “duplicating” idle office equipment and that there may be costly adjustments to learning to work from home. It is also possible that the need for social distancing and for additional safety measures (new HVAC systems, for example) isn’t fully gone by the end of the year, which may hold down productivity. A lower level of productivity than anticipated pre-pandemic would imply an even higher pace of job creation than calculated above.

On the other hand, the pandemic could lead to higher productivity. For example, substituting Zoom for a lot of business travel and commuting will save countless hours of travel and could boost productivity. Similarly, the pandemic may have induced more automation with an associated increase in productivity. It’s also possible that a surge in demand in some sectors will increase utilization of resources: every restaurant table, theater seat, and plane seat could be full, physicians may schedule more surgeries to make up for those delayed, airlines may schedule more flights, etc. If this occurs, it may lead to temporarily longer work hours and higher productivity. These effects would reduce the number of payroll jobs created for any given level of GDP growth, making the lower end of our estimated range of employment gains more plausible.

What about the unemployment rate and labor force participation?

The unemployment rate—which measures those looking for and available for work—will surely decline as the economy improves, but the degree of the decline depends on the labor force participation rate. Those who aren’t looking for work don’t count as unemployed in the headline unemployment rate.

Labor force participation fell from 63.3% in February 2020 to just 61.5% at the end of 2020. This decline was much larger and much faster than typically occurs in recessions. The question is how quickly labor force participation will rebound.

In the “unwinding of the effects of the pandemic“ scenario, and again using CBO’s pre-pandemic January 2020 projections for Q4 2021 as a gauge, labor force participation would increase sharply throughout the remainder of the year, ending the year at 62.8%. (Because of population aging, LFP has been trending down over time.) Similarly, the unemployment rate would fall sharply over the remainder of the year, ending the year at 3.6%.

The more broad-based increase in demand scenario is associated with fewer new jobs—and a less than complete labor market recovery—which would leave the labor force participation below and the unemployment rate above their pre-pandemic trajectories. Ball, Leigh, and Loungani (2013) estimate that a 1 percentage point increase in real GDP growth is associated with a 0.4 percentage point reduction in the unemployment rate. Using this relationship, we would expect the unemployment rate to decline by 2.4 percentage points during 2021, ending the year at 4.3%. This would imply that the labor force participation rate would increase by almost 1 percentage point, ending the year at about 62.4%.

Using these estimates, if 80% of the projected GDP growth comes from the unwinding of the effects of the pandemic, and 20% reflects a broader-based increase in demand, the unemployment rate at the end of 2021 would be 3.7% and the labor force participation would be 62.7%. If the shares are 50/50, the unemployment rate would end the year at about 4% and the labor force participation rate at 62.6%.

labor force participation rateClick figure to enlarge.

Are these huge payroll gains guaranteed?

Of course not. For one, this exercise assumes that the consensus GDP forecasts are correct. If social distancing remains in place for longer than anticipated, if there is another wave of lockdowns in the fall, if many people opt for not getting a vaccine or if they take time to believe that vaccinations are making them safe, the recovery would likely be slower, lowering both GDP growth and especially employment growth, since the high-employment contact-intensive sectors would be the most affected. And, of course, even if the GDP forecast is correct, there is a wide range of possible employment outcomes depending on the extent to which the GDP growth stems from the unwinding of the effects of the pandemic.

How much growth in payrolls are other forecasters projecting?

The figure below shows the distribution of forecasts from the Wall Street Journal’s March 2021 Economic Survey, where each dot represents a particular forecaster’s projection of GDP and employment. These forecasts are broadly consistent with Okun’s law. Indeed, a regression of the percent change in payroll growth on the GDP growth predicted by Wall Street forecasters yields a coefficient of 0.56—just a tad above the Okun’s law coefficient of 0.54 we used for our “broad-based” employment scenario. The employment gain associated with a projection of 6% GDP growth using the line of best fit in the graph is just 506,000 per month—well below the numbers we discussed above. These forecasters implicitly expect the 2021 recovery to resemble that from previous recessions even though the recent pandemic-induced recession was quite different from recessions past.

job growth expectations

Click figure to enlarge.


[1]In particular, because CBO expected overall job gains in 2020 to be about 75% of those in 2019, we assumed in the counterfactual that the employment increase by industry in 2020 was 75% of the 2019 employment increase by industry.

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International

Illegal Immigrants Leave US Hospitals With Billions In Unpaid Bills

Illegal Immigrants Leave US Hospitals With Billions In Unpaid Bills

By Autumn Spredemann of The Epoch Times

Tens of thousands of illegal…

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Illegal Immigrants Leave US Hospitals With Billions In Unpaid Bills

By Autumn Spredemann of The Epoch Times

Tens of thousands of illegal immigrants are flooding into U.S. hospitals for treatment and leaving billions in uncompensated health care costs in their wake.

The House Committee on Homeland Security recently released a report illustrating that from the estimated $451 billion in annual costs stemming from the U.S. border crisis, a significant portion is going to health care for illegal immigrants.

With the majority of the illegal immigrant population lacking any kind of medical insurance, hospitals and government welfare programs such as Medicaid are feeling the weight of these unanticipated costs.

Apprehensions of illegal immigrants at the U.S. border have jumped 48 percent since the record in fiscal year 2021 and nearly tripled since fiscal year 2019, according to Customs and Border Protection data.

Last year broke a new record high for illegal border crossings, surpassing more than 3.2 million apprehensions.

And with that sea of humanity comes the need for health care and, in most cases, the inability to pay for it.

In January, CEO of Denver Health Donna Lynne told reporters that 8,000 illegal immigrants made roughly 20,000 visits to the city’s health system in 2023.

The total bill for uncompensated care costs last year to the system totaled $140 million, said Dane Roper, public information officer for Denver Health. More than $10 million of it was attributed to “care for new immigrants,” he told The Epoch Times.

Though the amount of debt assigned to illegal immigrants is a fraction of the total, uncompensated care costs in the Denver Health system have risen dramatically over the past few years.

The total uncompensated costs in 2020 came to $60 million, Mr. Roper said. In 2022, the number doubled, hitting $120 million.

He also said their city hospitals are treating issues such as “respiratory illnesses, GI [gastro-intenstinal] illnesses, dental disease, and some common chronic illnesses such as asthma and diabetes.”

“The perspective we’ve been trying to emphasize all along is that providing healthcare services for an influx of new immigrants who are unable to pay for their care is adding additional strain to an already significant uncompensated care burden,” Mr. Roper said.

He added this is why a local, state, and federal response to the needs of the new illegal immigrant population is “so important.”

Colorado is far from the only state struggling with a trail of unpaid hospital bills.

EMS medics with the Houston Fire Department transport a Mexican woman the hospital in Houston on Aug. 12, 2020. (John Moore/Getty Images)

Dr. Robert Trenschel, CEO of the Yuma Regional Medical Center situated on the Arizona–Mexico border, said on average, illegal immigrants cost up to three times more in human resources to resolve their cases and provide a safe discharge.

“Some [illegal] migrants come with minor ailments, but many of them come in with significant disease,” Dr. Trenschel said during a congressional hearing last year.

“We’ve had migrant patients on dialysis, cardiac catheterization, and in need of heart surgery. Many are very sick.”

He said many illegal immigrants who enter the country and need medical assistance end up staying in the ICU ward for 60 days or more.

A large portion of the patients are pregnant women who’ve had little to no prenatal treatment. This has resulted in an increase in babies being born that require neonatal care for 30 days or longer.

Dr. Trenschel told The Epoch Times last year that illegal immigrants were overrunning healthcare services in his town, leaving the hospital with $26 million in unpaid medical bills in just 12 months.

ER Duty to Care

The Emergency Medical Treatment and Labor Act of 1986 requires that public hospitals participating in Medicare “must medically screen all persons seeking emergency care … regardless of payment method or insurance status.”

The numbers are difficult to gauge as the policy position of the Centers for Medicare & Medicaid Services (CMS) is that it “will not require hospital staff to ask patients directly about their citizenship or immigration status.”

In southern California, again close to the border with Mexico, some hospitals are struggling with an influx of illegal immigrants.

American patients are enduring longer wait times for doctor appointments due to a nursing shortage in the state, two health care professionals told The Epoch Times in January.

A health care worker at a hospital in Southern California, who asked not to be named for fear of losing her job, told The Epoch Times that “the entire health care system is just being bombarded” by a steady stream of illegal immigrants.

“Our healthcare system is so overwhelmed, and then add on top of that tuberculosis, COVID-19, and other diseases from all over the world,” she said.

A Salvadorian man is aided by medical workers after cutting his leg while trying to jump on a truck in Matias Romero, Mexico, on Nov. 2, 2018. (Spencer Platt/Getty Images)

A newly-enacted law in California provides free healthcare for all illegal immigrants residing in the state. The law could cost taxpayers between $3 billion and $6 billion per year, according to recent estimates by state and federal lawmakers.

In New York, where the illegal immigration crisis has manifested most notably beyond the southern border, city and state officials have long been accommodating of illegal immigrants’ healthcare costs.

Since June 2014, when then-mayor Bill de Blasio set up The Task Force on Immigrant Health Care Access, New York City has worked to expand avenues for illegal immigrants to get free health care.

“New York City has a moral duty to ensure that all its residents have meaningful access to needed health care, regardless of their immigration status or ability to pay,” Mr. de Blasio stated in a 2015 report.

The report notes that in 2013, nearly 64 percent of illegal immigrants were uninsured. Since then, tens of thousands of illegal immigrants have settled in the city.

“The uninsured rate for undocumented immigrants is more than three times that of other noncitizens in New York City (20 percent) and more than six times greater than the uninsured rate for the rest of the city (10 percent),” the report states.

The report states that because healthcare providers don’t ask patients about documentation status, the task force lacks “data specific to undocumented patients.”

Some health care providers say a big part of the issue is that without a clear path to insurance or payment for non-emergency services, illegal immigrants are going to the hospital due to a lack of options.

“It’s insane, and it has been for years at this point,” Dana, a Texas emergency room nurse who asked to have her full name omitted, told The Epoch Times.

Working for a major hospital system in the greater Houston area, Dana has seen “a zillion” migrants pass through under her watch with “no end in sight.” She said many who are illegal immigrants arrive with treatable illnesses that require simple antibiotics. “Not a lot of GPs [general practitioners] will see you if you can’t pay and don’t have insurance.”

She said the “undocumented crowd” tends to arrive with a lot of the same conditions. Many find their way to Houston not long after crossing the southern border. Some of the common health issues Dana encounters include dehydration, unhealed fractures, respiratory illnesses, stomach ailments, and pregnancy-related concerns.

“This isn’t a new problem, it’s just worse now,” Dana said.

Emergency room nurses and EMTs tend to patients in hallways at the Houston Methodist The Woodlands Hospital in Houston on Aug. 18, 2021. (Brandon Bell/Getty Images)

Medicaid Factor

One of the main government healthcare resources illegal immigrants use is Medicaid.

All those who don’t qualify for regular Medicaid are eligible for Emergency Medicaid, regardless of immigration status. By doing this, the program helps pay for the cost of uncompensated care bills at qualifying hospitals.

However, some loopholes allow access to the regular Medicaid benefits. “Qualified noncitizens” who haven’t been granted legal status within five years still qualify if they’re listed as a refugee, an asylum seeker, or a Cuban or Haitian national.

Yet the lion’s share of Medicaid usage by illegal immigrants still comes through state-level benefits and emergency medical treatment.

A Congressional report highlighted data from the CMS, which showed total Medicaid costs for “emergency services for undocumented aliens” in fiscal year 2021 surpassed $7 billion, and totaled more than $5 billion in fiscal 2022.

Both years represent a significant spike from the $3 billion in fiscal 2020.

An employee working with Medicaid who asked to be referred to only as Jennifer out of concern for her job, told The Epoch Times that at a state level, it’s easy for an illegal immigrant to access the program benefits.

Jennifer said that when exceptions are sent from states to CMS for approval, “denial is actually super rare. It’s usually always approved.”

She also said it comes as no surprise that many of the states with the highest amount of Medicaid spending are sanctuary states, which tend to have policies and laws that shield illegal immigrants from federal immigration authorities.

Moreover, Jennifer said there are ways for states to get around CMS guidelines. “It’s not easy, but it can and has been done.”

The first generation of illegal immigrants who arrive to the United States tend to be healthy enough to pass any pre-screenings, but Jennifer has observed that the subsequent generations tend to be sicker and require more access to care. If a family is illegally present, they tend to use Emergency Medicaid or nothing at all.

The Epoch Times asked Medicaid Services to provide the most recent data for the total uncompensated care that hospitals have reported. The agency didn’t respond.

Continue reading over at The Epoch Times

Tyler Durden Fri, 03/15/2024 - 09:45

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International

Fuel poverty in England is probably 2.5 times higher than government statistics show

The top 40% most energy efficient homes aren’t counted as being in fuel poverty, no matter what their bills or income are.

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Julian Hochgesang|Unsplash

The cap set on how much UK energy suppliers can charge for domestic gas and electricity is set to fall by 15% from April 1 2024. Despite this, prices remain shockingly high. The average household energy bill in 2023 was £2,592 a year, dwarfing the pre-pandemic average of £1,308 in 2019.

The term “fuel poverty” refers to a household’s ability to afford the energy required to maintain adequate warmth and the use of other essential appliances. Quite how it is measured varies from country to country. In England, the government uses what is known as the low income low energy efficiency (Lilee) indicator.

Since energy costs started rising sharply in 2021, UK households’ spending powers have plummeted. It would be reasonable to assume that these increasingly hostile economic conditions have caused fuel poverty rates to rise.

However, according to the Lilee fuel poverty metric, in England there have only been modest changes in fuel poverty incidence year on year. In fact, government statistics show a slight decrease in the nationwide rate, from 13.2% in 2020 to 13.0% in 2023.

Our recent study suggests that these figures are incorrect. We estimate the rate of fuel poverty in England to be around 2.5 times higher than what the government’s statistics show, because the criteria underpinning the Lilee estimation process leaves out a large number of financially vulnerable households which, in reality, are unable to afford and maintain adequate warmth.

Blocks of flats in London.
Household fuel poverty in England is calculated on the basis of the energy efficiency of the home. Igor Sporynin|Unsplash

Energy security

In 2022, we undertook an in-depth analysis of Lilee fuel poverty in Greater London. First, we combined fuel poverty, housing and employment data to provide an estimate of vulnerable homes which are omitted from Lilee statistics.

We also surveyed 2,886 residents of Greater London about their experiences of fuel poverty during the winter of 2022. We wanted to gauge energy security, which refers to a type of self-reported fuel poverty. Both parts of the study aimed to demonstrate the potential flaws of the Lilee definition.

Introduced in 2019, the Lilee metric considers a household to be “fuel poor” if it meets two criteria. First, after accounting for energy expenses, its income must fall below the poverty line (which is 60% of median income).

Second, the property must have an energy performance certificate (EPC) rating of D–G (the lowest four ratings). The government’s apparent logic for the Lilee metric is to quicken the net-zero transition of the housing sector.

In Sustainable Warmth, the policy paper that defined the Lilee approach, the government says that EPC A–C-rated homes “will not significantly benefit from energy-efficiency measures”. Hence, the focus on fuel poverty in D–G-rated properties.

Generally speaking, EPC A–C-rated homes (those with the highest three ratings) are considered energy efficient, while D–G-rated homes are deemed inefficient. The problem with how Lilee fuel poverty is measured is that the process assumes that EPC A–C-rated homes are too “energy efficient” to be considered fuel poor: the main focus of the fuel poverty assessment is a characteristic of the property, not the occupant’s financial situation.

In other words, by this metric, anyone living in an energy-efficient home cannot be considered to be in fuel poverty, no matter their financial situation. There is an obvious flaw here.

Around 40% of homes in England have an EPC rating of A–C. According to the Lilee definition, none of these homes can or ever will be classed as fuel poor. Even though energy prices are going through the roof, a single-parent household with dependent children whose only income is universal credit (or some other form of benefits) will still not be considered to be living in fuel poverty if their home is rated A-C.

The lack of protection afforded to these households against an extremely volatile energy market is highly concerning.

In our study, we estimate that 4.4% of London’s homes are rated A-C and also financially vulnerable. That is around 171,091 households, which are currently omitted by the Lilee metric but remain highly likely to be unable to afford adequate energy.

In most other European nations, what is known as the 10% indicator is used to gauge fuel poverty. This metric, which was also used in England from the 1990s until the mid 2010s, considers a home to be fuel poor if more than 10% of income is spent on energy. Here, the main focus of the fuel poverty assessment is the occupant’s financial situation, not the property.

Were such alternative fuel poverty metrics to be employed, a significant portion of those 171,091 households in London would almost certainly qualify as fuel poor.

This is confirmed by the findings of our survey. Our data shows that 28.2% of the 2,886 people who responded were “energy insecure”. This includes being unable to afford energy, making involuntary spending trade-offs between food and energy, and falling behind on energy payments.

Worryingly, we found that the rate of energy insecurity in the survey sample is around 2.5 times higher than the official rate of fuel poverty in London (11.5%), as assessed according to the Lilee metric.

It is likely that this figure can be extrapolated for the rest of England. If anything, energy insecurity may be even higher in other regions, given that Londoners tend to have higher-than-average household income.

The UK government is wrongly omitting hundreds of thousands of English households from fuel poverty statistics. Without a more accurate measure, vulnerable households will continue to be overlooked and not get the assistance they desperately need to stay warm.

Torran Semple receives funding from Engineering and Physical Sciences Research Council (EPSRC) grant EP/S023305/1.

John Harvey does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

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Looking Back At COVID’s Authoritarian Regimes

After having moved from Canada to the United States, partly to be wealthier and partly to be freer (those two are connected, by the way), I was shocked,…

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After having moved from Canada to the United States, partly to be wealthier and partly to be freer (those two are connected, by the way), I was shocked, in March 2020, when President Trump and most US governors imposed heavy restrictions on people’s freedom. The purpose, said Trump and his COVID-19 advisers, was to “flatten the curve”: shut down people’s mobility for two weeks so that hospitals could catch up with the expected demand from COVID patients. In her book Silent Invasion, Dr. Deborah Birx, the coordinator of the White House Coronavirus Task Force, admitted that she was scrambling during those two weeks to come up with a reason to extend the lockdowns for much longer. As she put it, “I didn’t have the numbers in front of me yet to make the case for extending it longer, but I had two weeks to get them.” In short, she chose the goal and then tried to find the data to justify the goal. This, by the way, was from someone who, along with her task force colleague Dr. Anthony Fauci, kept talking about the importance of the scientific method. By the end of April 2020, the term “flatten the curve” had all but disappeared from public discussion.

Now that we are four years past that awful time, it makes sense to look back and see whether those heavy restrictions on the lives of people of all ages made sense. I’ll save you the suspense. They didn’t. The damage to the economy was huge. Remember that “the economy” is not a term used to describe a big machine; it’s a shorthand for the trillions of interactions among hundreds of millions of people. The lockdowns and the subsequent federal spending ballooned the budget deficit and consequent federal debt. The effect on children’s learning, not just in school but outside of school, was huge. These effects will be with us for a long time. It’s not as if there wasn’t another way to go. The people who came up with the idea of lockdowns did so on the basis of abstract models that had not been tested. They ignored a model of human behavior, which I’ll call Hayekian, that is tested every day.

These are the opening two paragraphs of my latest Defining Ideas article, “Looking Back at COVID’s Authoritarian Regimes,” Defining Ideas, March 14, 2024.

Another excerpt:

That wasn’t the only uncertainty. My daughter Karen lived in San Francisco and made her living teaching Pilates. San Francisco mayor London Breed shut down all the gyms, and so there went my daughter’s business. (The good news was that she quickly got online and shifted many of her clients to virtual Pilates. But that’s another story.) We tried to see her every six weeks or so, whether that meant our driving up to San Fran or her driving down to Monterey. But were we allowed to drive to see her? In that first month and a half, we simply didn’t know.

Read the whole thing, which is longer than usual.

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