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  • The Grumpy Economy

    The Grumpy Economy

    What was the worst moment for the American economy in the past half century? You might think it was the last wheezing months of the 1970s, when oil prices more than doubled, inflation reached double digits, and the U.S. sank into its second recession of the decade. Or the 2008 financial collapse and Great Recession. Or perhaps it was when COVID hit and millions of people abruptly lost their job. All good guesses—and all wrong, if surveys of the American public are to be believed. According to the University of Michigan Surveys of Consumers, the most widely cited measure of consumer sentiment, that moment was actually June 2022.

    Inflation hit 9 percent that month, and no one knew if it would go higher still. A recession seemed imminent. Objectively, it’s hard to claim that the economy was in worse shape that month than it had been at those other cataclysmic times. But substantial pessimism was nonetheless explicable.

    Over the next 18 months, however, the economy improved rapidly, and in nearly every way: Inflation plummeted to near its pre-pandemic level, unemployment reached historic lows, GDP boomed, and wages rose. The turnaround, by most standard economic measures, was unprecedented. Yet the American people continued to give the economy the kind of approval ratings traditionally reserved for used-car salesmen. Last June, the White House launched a campaign to celebrate “Bidenomics”—­the administration’s strong job-creation record and big investments in manufacturing and clean energy. The effort flopped so badly that, within months, Democrats were begging the president to abandon it altogether.

    Some kind of irreconcilable difference seemed to have opened up between public opinion and traditional markers of economic health, as many op-eds and news reports noted. “The Economy Is Great. Why Are Americans in Such a Rotten Mood?The Wall Street Journal asked in early November. “What’s Causing ‘Bad Vibes’ in the Economy?The New York Times wondered a few weeks later. Terms like “vibecession” and “the great disconnect were coined and spread.

    More recently, consumer sentiment has improved. After falling for months, it suddenly rebounded in December and January, posting its largest two-month gain in more than 30 years—even though the economy itself barely changed at all. Yet as of this writing, sentiment remains low by historical standards—­nothing like the sunny outlook that prevailed before the pandemic.

    What’s going on? The question involves the psychology of money—and of politics. Its answer will shape the outcome of the presidential election
    in November.

    The toll of inflation on the American psyche is undoubtedly part of the story. That people hate high inflation is not a novel observation: The Federal Reserve has long been obsessed with preventing another ’70s-style inflationary spiral; its patron saint is Paul Volcker, the former Fed chair who famously broke that spiral by jacking up interest rates, which plunged the economy into a recession. But although experts and political leaders know that inflation matters, the way they understand the phenomenon is very different from how ordinary people experience it—and that alone may explain why sentiment stayed low for so long, and has only now begun to rise.

    When economists talk about inflation, they are often referring to an index of prices meant to represent the goods and services a typical household buys in a year. Each item in the index is weighted by how much is spent on it annually. So, for instance, because the average household spends about a third of its income on housing, the price of housing (an amalgam of rents and home prices) determines a third of the inflation rate. But the goods that people spend the most money on tend to be quite different from those that they pay the most attention to. Consumers are reminded of the price of food
    every time they visit a supermarket or restaurant, and the price of gas is plastered in giant numbers on every street corner. Also, the purchase of these items can’t be postponed. Things like a new couch or flatscreen TV, in contrast, are purchased so rarely that many people don’t even remember how much they paid for one, let alone how much they cost today.

    The irony is that consumers spend a lot more, on average, on expensive, big-ticket items than they do on groceries or takeout, which means the prices we pay the most attention to don’t contribute very much to overall inflation numbers. (Less than a tenth of the average consumer’s budget is spent at the super­market.) Some measures of inflation—“core” and “supercore” inflation among them—­exclude food and energy prices altogether. That is reasonable if you’re a Fed official focused on how to set interest rates, because energy and food prices are often extremely sensitive to temporary fluctuations (caused by, say, a drought that hurts grain harvests or an OPEC oil-­supply cut). But in practice, these measures overlook the prices that matter most to consumers.

    This dynamic alone goes a long way toward explaining the gap between “the economy” and Americans’ perception of it. Even as core inflation fell below 3 percent over the course of 2023, food prices increased by about 6 percent, twice as fast as they had grown over the previous 20 years. “I think that explains a huge part of the disconnect,” Paul Donovan, the chief economist at UBS Global Wealth Management, told me. “You won’t convince any consumer that inflation is under control when food prices are rising that fast.”

    Consumers say as much when you ask them. In a recent poll commissioned by The Atlantic, respondents were asked what factors they consider when deciding how the national economy is doing. The price of groceries led the list, and 60 percent of respondents placed it among their top three—more, even, than the share that chose “inflation.” This isn’t exactly a new development. In 2002, Donovan told me, Italian consumers were convinced that prices were soaring by nearly 20 percent even though actual inflation was a stable 2 percent. It turned out that people were basing their estimates on the cost of a cup of espresso, which had abruptly risen as coffee makers rounded their prices up after the introduction of the euro.

    What’s more, most people don’t care about the inflation rate so much as they care about prices themselves. If inflation runs at 10 percent for a year, and then suddenly shrinks to 2 percent, the damage of the past year has not been undone. Prices are still dramatically higher than they were. Overall, prices are nearly 20 percent higher now than they were before the pandemic (grocery prices are 25 percent higher). When asked in a survey last fall what improvement in the economy they would most like to see, 64 percent of respondents said “lower prices on goods, services, and gas.”

    What about wages? Even adjusted for inflation, they have been rising since June 2022, and recently surpassed their pre-pandemic levels, meaning that the typical American’s paycheck goes further than it did prior to the inflation spike. But wages haven’t increased faster than food prices. And most people think about wage and price increases very differently. A raise tends to feel like something we’ve earned, Betsey Stevenson, an economist at the University of Michigan, told me. Then we go to the grocery store, and “it feels like those just rewards are being unfairly taken away.”

    If inflation is in fact the main reason the American people have been so down on the economy—and its future—then the story is likely to have a happy ending, and soon. My great-grandmother loved to reminisce about the days when a can of Coke cost a nickel. She didn’t, however, believe that the country was on the verge of economic calamity because she now had to spend a dollar or more for the same beverage. Just as surely as people despise price increases, we also get used to them in the end. A recent analysis by Ryan Cummings and Neale Mahoney, two Stanford economists and former policy advisers in the Biden administration, found that it takes 18 to 24 months for lower inflation to fully show up in consumer sentiment. “People eventually adjust,” Mahoney told me. “They just don’t adjust at the rate that statistical agencies produce inflation data.”

    Mahoney and Cummings posted their study on December 4, 2023—18 months after inflation peaked in June 2022. As if on cue, consumer sentiment began surging that month. (Perhaps helping matters, food inflation had finally fallen below 3 percent in November 2023.)

    There is another story you can tell about consumer sentiment today, however, one that has less to do with what’s happening in grocery stores and more to do with the peculiarities of tribal identity.

    It’s well established that partisans on both sides become more negative about the economy when the other party controls the presidency, but this phenomenon is not symmetrical: In a November analysis, Mahoney and Cummings found that when a Democrat occupies the White House, Republicans’ economic outlook declines by more than twice as much as Democrats’ does when the situation is reversed. Consumer-­sentiment data from the polling firm Civiqs and the Pew Research Center show that Republicans’ view of the economy has barely budged since hitting an all-time low in the summer of 2022.

    Meanwhile, although sentiment among Democrats has recovered to nearly where it stood before inflation began to rise in 2021, it remains well below its level at the end of the Obama administration. It may never return to its previous heights. Over the past decade, the belief that the economy is rigged in favor of the rich and powerful has become central to progressive self-identity. Among Democrats ages 18 to 34, who tend to be more progressive than older Democrats, positive views of capitalism fell from 56 to 40 percent between 2010 and 2019, according to Gallup. Dim views of the broader economic system may be limiting how positively some Democrats feel about the economy, even when one of their own occupies the Oval Office. According to a CNN poll in late January, 63 percent of Democrats ages 45 and older believed that the economy was on the upswing—but only 35 percent of younger Democrats believed the same. To fully embrace the economy’s strength would be to sacrifice part of the modern progressive’s ideological sense of self.

    The media may be contributing to economic gloom for people of every political stripe. According to Mahoney, one possible explanation for Republicans’ disproportionate economic negativity when a Democrat is in office is the fact that the news sources many Republicans consume—namely, right-wing media like Fox News—tend to be more brazenly partisan than the sources Democrats consume, which tend to be a balance of mainstream and partisan media. But mainstream media have also gotten more negative about the economy in recent years, regardless of who’s held the presidency. According to a new analysis by the Brookings Institution, from 1988 to 2016, the “sentiment” of economic-news coverage in mainstream newspapers tracked closely with measures such as inflation, employment, and the stock market. Then, during Donald Trump’s presidency, coverage became more negative than the economic fundamentals would have predicted. After Joe Biden took office, the gap widened. Journalists have long focused more on surfacing problems than on highlighting successes—­bringing problems to light is an essential part of the job—but the more recent shift could be explained by the same economic pessimism afflicting many young liberals (many newspaper journalists, after all, are liberals themselves). In other words, the media’s negativity could be both a reflection and a source of today’s economic pessimism.

    What happens to consumer sentiment in the coming months will depend on how much it is still being dragged down by frustration with higher prices, which will likely dissipate, as opposed to how much it is being limited by a combination of Republican partisan­ship and Democratic pessimism, which are less likely to change.

    Will the place that it finally settles in come November matter to the election? How people say they are feeling about the economy in an election year—alongside more direct measures of economic health, such as GDP growth and disposable income—has in the past been a good predictor of whom voters choose as president; a healthy economy and good sentiment strongly favor the incumbent. Despite all the abnormalities of 2020—a pandemic, national protests, a uniquely polarizing president—economic models that factored in both economic fundamentals and sentiment predicted the result and margin of that year’s presidential election quite accurately (and much more so than polling), according to an analysis by the political scientists John Sides, Chris Tausanovitch, and Lynn Vavreck.

    It is of course possible that consumer sentiment is becoming a more performative metric than it used to be—a statement about who you are rather than how you really feel—and perhaps less reliable as a result. Still, the story that voters have in their heads about the economy clearly matters. If that story were influenced solely by the prices at the pump and the grocery store or the number of well-paying jobs, then—absent another crisis—we could expect the mood to be buoyant this fall, significantly helping Biden’s prospects for reelection. But the stories we tell ourselves are shaped by everything from the news we read to the political messages we hear to the identities we adopt. And, for better or worse, those stories have yet to be fully written.

    Rogé Karma

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  • 23 Pandemic Decisions That Actually Went Right

    23 Pandemic Decisions That Actually Went Right

    More than three years ago, the coronavirus pandemic officially became an emergency, and much of the world froze in place while politicians and public-health advisers tried to figure out what on Earth to do. Now the emergency is officially over—the World Health Organization declared so on Friday, and the Biden administration will do the same later this week.

    Along the way, almost 7 million people died, according to the WHO, and looking back at the decisions made as COVID spread is, for the most part, a demoralizing exercise. It was already possible to see, in January 2020, that America didn’t have enough masks; in February, that misinformation would proliferate; in March, that nursing homes would become death traps, that inequality would widen, that children’s education, patients’ care, and women’s careers would suffer. What would go wrong has been all too clear from the beginning.

    Not every lesson has to be a cautionary tale, however, and the end of the COVID-19 emergency may be, if nothing else, a chance to consider which pandemic policies, decisions, and ideas actually worked out for the best. Put another way: In the face of so much suffering, what went right?

    To find out, we called up more than a dozen people who have spent the past several years in the thick of pandemic decision making, and asked: When the next pandemic comes, which concrete action would you repeat in exactly the same way?

    What they told us is by no means a comprehensive playbook for handling a future public-health crisis. But they did lay out 23 specific tactics—and five big themes—that have kept the past few years from being even worse.


    Good information makes everything else possible.
    1. Start immediate briefings for the public. At the beginning of March 2020, within days of New York City detecting its first case of COVID-19, Governor Andrew Cuomo and Mayor Bill de Blasio began giving daily or near-daily coronavirus press briefings, many of which included health experts along with elected officials. These briefings gave the public a consistent, reliable narrative to follow during the earliest, most uncertain days of the pandemic, and put science at the forefront of the discourse, Jay Varma, a professor of population health at Cornell University and a former adviser to de Blasio, told us.
    2. Let everyone see the information you have. In Medway, Massachusetts, for instance, the public-school system set up a data dashboard and released daily testing results.  This allowed the entire affected community to see the impact of COVID in schools, Armand Pires, the superintendent of Medway Public Schools, told us.
    3. Be clear that some data streams are better than others. During the first year of the pandemic, COVID-hospitalization rates were more consistent and reliable than, say, case counts and testing data, which varied with testing shortages and holidays, Erin Kissane, the managing editor of the COVID Tracking Project, told us.The project, which grew out of The Atlantic’s reporting on testing data, tracked COVID cases, hospitalizations, and deaths. CTP made a point of explaining where the data came from, what their flaws and shortcomings were, and why they were messy, instead of worrying about how people might react to this kind of information.
    4. Act quickly on the data. At the University of Illinois Urbana-Champaign, testing made a difference, because the administration acted quickly after cases started rising faster than predicted when students returned in fall of 2020, Rebecca Lee Smith, a UIUC epidemiologist, told us. The university instituted a “stay at home” order, and cases went down—and remained down. Even after the order ended, students and staff continued to be tested every four days so that anyone with COVID could be identified and isolated quickly.  
    5. And use it to target the places that may need the most attention. In California, a social-vulnerability index helped pinpoint areas to focus vaccine campaigns on, Brad Pollock, UC Davis’s Rolkin Chair in Public-Health Sciences and the leader of Healthy Davis Together, told us. In this instance, that meant places with migrant farmworkers and unhoused people, but this kind of precision public health could also work for other populations.
    6. Engage with skeptics. Rather than ignore misinformation or pick a fight with the people promoting it, Nirav Shah, the former director of Maine’s CDC, decided to hear them out, going on a local call-in radio show with hosts known to be skeptical of vaccines.
    A pandemic requires thinking at scale.
    1. Do pooled testing as early as possible. Medway’s public-school district used this technique, which combines samples from multiple people into one tube and then tests them all at once, to help reopen elementary schools in early 2021, said Pires, the Medway superintendent. Pooled testing made it possible to test large groups of people relatively quickly and cheaply.
    2. Choose technology that scales up quickly. Pfizer chose to use mRNA-vaccine tech in part because traditional vaccines are scaled up in stainless-steel vats, Jim Cafone, Pfizer’s senior vice president for global supply chain, told us. If the goal is to vaccinate billions of patients, “there’s not enough stainless steel in the world to do what you need to do,” he said. By contrast, mRNA is manufactured using lipid nanoparticle pumps, many more of which can fit into much less physical space.
    3. Take advantage of existing resources. UC Davis repurposed genomic tools normally used for agriculture for COVID testing, and was able to perform 10,000 tests a day,  Pollock, the UC Davis professor, told us.
    4. Use the Defense Production Act. This Cold War–era law, which allows the U.S. to force companies to prioritize orders from the government, is widely used in the defense sector. During the pandemic, the federal government invoked the DPA to break logjams in vaccine manufacturing, Chad Bown, a fellow at the Peterson Institute for International Economics who tracked the vaccine supply chain, told us. For example, suppliers of equipment used in pharmaceutical manufacturing were compelled to prioritize COVID-vaccine makers, and fill-and-finish facilities were compelled to bottle COVID vaccines first—ensuring that the vaccines the U.S. government had purchased would be delivered quickly.  
    Vaccines need to work for everyone.
    1. Recruit diverse populations for clinical trials. Late-stage studies on new drugs and vaccines have a long history of underrepresenting people from marginalized backgrounds, including people of color. That trend, as researchers have repeatedly pointed out, runs two risks: overlooking differences in effectiveness that might not appear until after a product has been administered en masse, and worsening the distrust built up after decades of medical racism and outright abuse. The COVID-vaccine trials didn’t do a perfect job of enrolling participants that fully represent the diversity of America, but they did better than many prior Phase 3 clinical trials despite having to rapidly enroll 30,000 to 40,000 adults, Grace Lee, the chair of CDC’s Advisory Committee on Immunization Practices, told us. That meant the trials were able to provide promising evidence that the shots were safe and effective across populations—and, potentially, convince wider swaths of the public that the shots worked for people like them.
    2. Try out multiple vaccines. No one can say for sure which vaccines might work or what problems each might run into. So drug companies tested several candidates at once in Phase I trials, Annaliesa Anderson, the chief scientific officer for vaccine research and development at Pfizer, told us; similarly, Operation Warp Speed placed big bets on six different options, Bown, the Peterson Institute fellow, pointed out.
    3. Be ready to vet vaccine safety—fast. The rarest COVID-vaccine side effects weren’t picked up in clinical trials. But the United States’ multipronged vaccine-safety surveillance program was sensitive and speedy enough that within months of the shots’ debut, researchers found a clotting issue linked to Johnson & Johnson, and a myocarditis risk associated with Pfizer’s and Moderna’s mRNA shots. They were also able to confidently weigh those risks against the immunizations’ many benefits. With these data in hand, the CDC and its advisory groups were able to throw their weight behind the new vaccines without reservations, said Lee, the ACIP chair.
    4. Make the rollout simple. When Maine was determining eligibility for the first round of COVID-19 vaccines, the state prioritized health-care workers and then green-lighted residents based solely on age—one of the most straightforward eligibility criteria in the country. Shah, the former head of Maine’s CDC, told us that he and other local officials credit the easy-to-follow system with Maine’s sky-high immunization rates, which have consistently ranked the state among the nation’s most vaccinated regions.
    5. Create vaccine pop-ups. For many older adults and people with limited mobility, getting vaccinated was largely a logistical challenge. Setting up temporary clinics where they lived—at senior centers or low-income housing, as in East Boston, for instance—helped ensure that transportation would not be an obstacle for them, said Josh Barocas, an infectious-diseases doctor at the University of Colorado School of Medicine.
    6. Give out boosters while people still want them. When boosters were first broadly authorized and recommended in the fall of 2021, there was a mad rush to immunization lines. In Maine, Shah said, local officials discovered that pharmacies were so low on staff and supplies that they were canceling appointments or turning people away. In response, the state’s CDC set up a massive vaccination center in Augusta. Within days, they’d given out thousands of shots, including both boosters and the newly authorized pediatric shots.
    Also, spend money.
    1. Basic research spending matters. The COVID vaccines wouldn’t have been ready for the public nearly as quickly without a number of existing advances in immunology,  Anthony Fauci, the former head of the National Institute of Allergy and Infectious Diseases, told us. Scientists had known for years that mRNA had immense potential as a delivery platform for vaccines, but before SARS-CoV-2 appeared, they hadn’t had quite the means or urgency to move the shots to market. And research into vaccines against other viruses, such as RSV and MERS, had already offered hints about the sorts of genetic modifications that might be needed to stabilize the coronavirus’s spike protein into a form that would marshal a strong, lasting immune response.
    2. Pour money into making vaccines before knowing they work. Manufacturing millions of doses of a vaccine candidate that might ultimately prove useless wouldn’t usually be a wise business decision. But Operation Warp Speed’s massive subsidies helped persuade manufacturers to begin making and stockpiling doses early on, Bown said. OWS also made additional investments to ensure that the U.S. had enough syringes and factories to bottle vaccines. So when the vaccines were given the green light, tens of millions of doses were almost immediately available.
    3. Invest in worker safety. The entertainment industry poured a massive amount of funds into getting COVID mitigations—testing, masking, ventilation, sick leave—off the ground so that it could resume work earlier than many other sectors. That showed what mitigation tools can accomplish if companies are willing to put funds toward them, Saskia Popescu, an infection-prevention expert in Arizona affiliated with George Mason University, told us.
    Lastly, consider the context.
    1. Rely on local relationships. To distribute vaccines to nursing homes, West Virginia initially eschewed the federal pharmacy program with CVS and Walgreens, Clay Marsh, West Virginia’s COVID czar, told us. Instead, the state partnered with local, family-run pharmacies that already provided these nursing homes with medication and flu vaccines. This approach might not have worked everywhere, but it worked for West Virginia.
    2. Don’t shy away from public-private partnerships. In Davis, California, a hotelier provided empty units for quarantine housing, Pollock said. In New York City, the robotics firm Opentrons helped NYU scale up testing capacity; the resulting partnership, called the Pandemic Response Lab, quickly slashed wait times for results, Varma, the former de Blasio adviser, said.
    3. Create spaces for vulnerable people to get help. People experiencing homelessness, individuals with substance-abuse disorders, and survivors of domestic violence require care tailored to their needs. In Boston, for example, a hospital recuperation unit built specifically for homeless people with COVID who were unable to self-isolate helped bring down hospitalizations in the community overall, Barocas said.
    4. Frame the pandemic response as a social movement. Involve not just public-health officials but also schools, religious groups, political leaders, and other sectors. For example, Matt Willis, the public-health officer for Marin County, California, told us, his county formed larger “community response teams” that agreed on and disseminated unified messages.

    Rachel Gutman-Wei

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