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Kaiser Foundation on “Limited Empirical Validation”

In their most recent Misinformation Tracking Poll, the Kaiser Family Foundation found that Republican respondents are more likely to believe false claims made by politicians and elected officials about immigrants than are Democrats, followed by Independents. For example, 45% of Republican respondents say it is “definitely true” that immigrants elevate violent crime, as do just 6% of Democrats, and 20% of Independents. Add in those who think it’s “probably true,” and you get to 81% among Republican respondents, 53% among Independents, and 22% among Democrats. Similar, slightly lower, shares are misinformed on immigrants raising unemployment among the US-born, and on relieving labor shortages, with more Democrats believing the latter to be true than Republicans.
But the real shock might be the small shares of those of every political stripe who have not heard the true claim that immigrants pay more into the tax system than they receive in benefits. This has been documented for decades, and by those with very different principles.
Although 80% of American adults have heard the false claims about violent crime, and 69% have heard the true claim about immigrants relieving labor shortages, just 31% have heard the true claim about contributions to the tax system. And here there’s a greater disparity between Democrats and Republicans. Although Democrats are more likely to have heard the true claims about relief of labor shortages, and Republicans more likely to have heard the false claims about crime and unemployment, shares average within five points of each other, in the 90% range. However, thirty-eight percent of surveyed Democrats have heard the claims about tax payments, as have just 23% of Republicans, dropping the share to 61%.
And while, for example, 90% of Democrats believe immigrants surely or probably reduce labor shortages, as do 86% of Independents and 75% of Republicans, 59% of Democrats believe  immigrants pay billions into the tax system every year, as do 40% of Independents, and just 22% of Republicans. Note the highest share on that count is lower than the lowest share who have heard the news on labor shortages.
We might ask the immigrants themselves—a more accurate sixty-five percent correctly believe they pay more in taxes than they receive in benefits, a belief shared by just thirty-six percent of adults overall.
Kaiser also highlights our “muddled middle.”  Fifty-six percent of American adults are unsure if claims about crime are true, with 28% believing they are either probably false or probably true. Margins are tighter among immigrants causing unemployment, 27% probably true, 30% probably false, and on relieving labor shortages, where 44% believe that’s probably true, and 11% probably false.
Thirty-six percent of immigrant adults say former President Donald Trump’s rhetoric has had a negative effect on how they are treated, rising to 45% among Asian immigrants. About three-quarters of immigrants say Vice President Harris’s words have not affected their treatment, with about thirty percent of Asian immigrants believing her words have had a positive effect on their treatment.
A quarter of immigrants believe it will make no difference in their own lives which candidate wins the White House, but 55% believe they will be better off under a Harris presidency, while 19% believe Trump will be more beneficial.
Seventy-three percent of immigrants who identify as Democrats believe immigrants will be better off under Harris, and just under half of those who identify as Republicans believe they will be better off under Trump, a bit of a blow to the concept of enlightened self-interest.
KFF’s President Drew Altman commented on the survey, calling the claims about violent crime the “ultimate example of amplification of misinformation by political figures based on the intentional use of anecdotes.”
He points out that politicians have a long history of using the vulnerability of those who feel left behind to fears about immigration. And that is most visible in the claim that immigrants are “widely committing murder,” through the use of one or two outlier anecdotes, a case of “limited empirical validation,” in social-science lingo.
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The 2024 Benchmark in a 32-year Frame

As you can see on the graph below, the 2024 benchmark, -0.5%, is the fifth largest over the last 32 years, among 2009’s -0.7%, 1994’s +0.7%, 2006’s +0.6%, and 1995’s +0.5%. It’s reassuring they aren’t all in the same direction. The annual benchmark is an integral part of the BLS process, and a major reason the establishment series is so important.
Between 1993 and 2000, revisions averaged 0.3% in absolute terms, narrowing to 0.2% between 2001 and 2019, including 0.2% between 2001 and 2008, and 0.1% between 2010 and 2019. Since 2020, the average moved back up to 0.3%, not so surprising given the displacements of the pandemic.
In our experience, the employees at the Bureau of Labor Statistics take questions seriously. We all have many questions, sometimes presented as theories and even facts, about how demographic groups may be affecting differences between the establishment and household surveys, the Quarterly Census of Employment and Wages, and hence the benchmark itself. We all can address those open questions to the staff at BLS. They will look into our questions, and in time they will answer them. And they may turn up methodological issues they can clarify or improve in the process.
by admin· · 0 comments · Employment & Productivity

S&P buybacks grabbing over half of earnings

S&P’s Howard Silverblatt is out with a preliminary reading on 2024Q1’s stock buybacks. In a phrase, they were big, if not quite the biggest.

Buybacks for S&P 500 stocks totaled $237 billion in the quarter, up 8% from the previous quarter and 9% from a year earlier. At an annualized rate, that equaled 3.4% of GDP, up from 2.9% last year and above the 3.1% average since 2005. Firms devoted over half their operating earnings—51.4% to be precise—to purchasing their own shares, slightly below the average since 2012. The buyback sum equaled a third of nonresidential fixed investment.

Call us old-fashioned, but maybe a larger share of earnings should be devoted to capital spending. Note how much lower the share devoted to buybacks were in the late 1990s, a time of high investment and rapid productivity growth.

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Noting that consumers access a range of sources for information about the economy—discussions with friends, their own experiences, and what they read or hear—Dr. Joanne Hsu, who directs the University of Michigan’s survey of consumers—recently broke out the sources that go into the “news heard” component of the survey. Apparently prompted by that fact that consumers reporting that they had heard bad news about inflation was “much higher,” in 2022 than it was during the “objectively worse” inflation periods of the 1970s, her team asked respondents open-ended questions about news sources from January through April.

NBUnfavorable news about prices hit just 20% in the 1970s, and topped out at 35% in 2022. 

Top sources, all over 30%, were mainstream news, general/other news, and general/other internet, followed by discussions with friends, family and co-workers, about 20%. Business news was mentioned by about 18% of respondents, and partisan sources by about 15%. Social media followed at about 13%, and just 10% of consumers mentioned the stock market, or their own experiences as sources.

Consumers who rely on their own and friends’ experiences have the lowest favorability ratings, which Hsu points out may well be because they are the most vulnerable, with fewer holding college degrees, and lowest median incomes. Those who read mainstream or business news, or follow the stock market, have highest levels of educational attainment and median incomes, and report most favorably on what they read. Those who rely on what Hsu calls the “catch-all” categories are close to the average, which she believes is because the sources are diverse.

But if you break out Democrats, Independents and Republicans, all hell breaks loose. Half of Democratic respondents, 27% of Independents, and just 16% of Republicans follow the mainstream news. Although shares by party for those who follow general sources and the internet are within the same range, those are the most common sources among Republicans, 38% and 37%. About 20% of Republicans follow partisan sources, as do 15% of Democrats. As you might guess, Independents are least likely to follow such news.

Although hearing more upbeat news is tied with higher sentiment, Hsu suggests the need for follow-up research on whether that is the product of bias confirmation. In any case, assessing partisan sources is associated with lower net favorability of news heard, and lower sentiment, among Republicans, and higher levels among Democrats. Among Democrats who mention partisan sources, net favorability of news heard is 143, and sentiment 110, among Republicans who mention partisan sources, net assessment is 31, and sentiment, 53. Democratic assessment and sentiment falls among those with no mention of partisan sources, 123 and 99, and rises among Republicans, 47 and 65.

AllSides Media Bias Chart: Read it and weep.

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Something old and, perhaps, something new

In January, Brookings’s Hutchins Center on Fiscal and Monetary Policy held a conference to identify, through agreement and disagreement, what we can learn from the pandemic. Louise Sheiner, David Wessel, and Elijah Asdourian, all of Brookings, just released their summary, “The US Labor Market Post-Covid—what has changed and what hasn’t?”

The first subhead covering the opening panel tells us one thing hasn’t changed, the ongoing debate on how to measure labor-market slack, central to the Fed’s mission. The authors note that because the unemployment rate was tracking other measures, such as the ratio of job vacancies and the number of unemployed (V/U), and the quit rate closely, it was “widely regarded” to be sufficient into 2019. Now with the unemployment rate about where it was before the pandemic, other measures suggest a tighter market, and many economists are no longer sure the rate is the “only important measure.” (And yes, many economists and analysts have never really thought that.)

As we don’t need to tell you, there was a lot of disagreement over which measures carry the most accurate information. Laurence Ball of John Hopkins offered two charts for his favored “rough and ready” indicator, one showing the unemployment rate dogging along at about 3.5% when inflation hit its highest level in decades, the other showing V/U peaking with inflation, suggesting a better match.

In their pushbacks, Julia Coronado of MacroPolicy Perspectives and others brought up what we called at the time the “mysterious rise” in job openings that began in 2008, a trend that cannot really be separated from the more recent period. Former BLS commissioner Erica Groshen added that digitation makes posting so easy that openings are up “across the board.” She likened that to the compounding number of college applications. “When I applied to college, my high school told us, ‘You can apply to five colleges….’ My kids were told twelve colleges, because it was electronic, and I think the next generation is being told something like twenty.”  Coronado suggested the unemployment rate, the employment/population ratio (EPOP) of prime-aged workers, and UI claims are the winning trio.

The next subhead, which asks if measuring labor slack is important to understanding inflation, suggests something that is perhaps changing. Going beyond questions about the value of the unemployment rate on its own, the panel pointed out it is unclear that the “intuition” underlying the Phillips Curve, the trade-off between inflation and slack, is still viable. Noting that inflation is currently moderating without a “material weakening” in the labor market, Coronado calls the focus on V/U “dangerously misleading,” as to her it increases the chance the US will miss out on “a whole lot of employment.”

Her top-tier indications, the above plus sentiment surveys, indicate a labor market close to full employment, with signs of softening, as do her second, the gap between U-3 and U-6 unemployment rates (which captures those working part-time against their wishes, and those marginally attached to the labor force), unemployment rates by ethnicity and race compared to the white rate, hourly wages of production workers, and hires and quits rates. Looking beyond the summary to her details,  she noted AI has “led firms to harvest resumes to train algorithms,” and that the openings rate is the only indicator suggesting a job market stronger than it as in the late 1990s. She believes analysts often focus too heavily on the effect of aging boomers, without paying enough attention to women’s “much stronger and more cyclical” attachment, and the issuance of work-eligible VISAs, which both show labor supply to be more “resilient, flexible and abundant than expected.”

Former Fed Vice Chair Don Kohn argued the two sides of the dual mandate should “feed each other,” and apparently most attendees were in the middle, questioning the vacancy rate, but in ‘fundamental agreement” that a “hot economy” with little slack can lead to inflation.

In a discussion of the Beveridge Curve’s, Aysegul Sahin, UTAustin, noted the surge in quits during the pandemic momentarily elevated job switching, and Justin Bloesch, Cornell, tagged a short-term deterioration in job-matching. Anton Cheremukhin, Dallas Fed, noted that early explanations of the Beveridge curve’s shift included all things Covid—isolation, fear, remote work, mismatches, and federal supports. But since they were largely gone by 2024, why does the inefficiency persist? He suggested, as he has before, that the trend in unemployment was typical for a short recession, while the trend in vacancies was abnormal even before the pandemic, driven by poaching, not so much efforts to engage the unemployed.

We’ve linked to his paper with Paulina Restrepo-Echavarria on that subject.  Here it is again.

Although most argue that wage inflation leads price inflation, apparently a number of attendees suggested wage growth lags prices. Adam Shapiro of the SF Fed used CPI and ECI, both productivity-adjusted and raw, to demonstrate a better correlation between current inflation and future, rather than past, wage growth. He noted that when wages rise quickly they can inflate prices of non-housing services, but the increase is small, 0.15pp for each 1% increase in wages, and develops over four years. He suggested that when wage rates are following inflation, looking at quit rates and unemployment would be a more accurate measure of the Fed’s fight against inflation than wages themselves.

Kohn “expressed surprise” at this, and called easing rates with wages on the rise would be a “gutsy move.”

Participants agreed that although the pandemic caused a “substantial” tightening of the disparity between incomes of the bottom and top deciles, it did little for median-income workers, who also have been losing to the top decile for decades. They also pointed out that earnings compression of the pandemic was atypical — generally low-wage earners’ incomes improve because they work longer hours in strong economies, without the benefit of wage increases. Most were pessimistic gains among lower earners will be stable, without an assist from federal minimum wages, although some states are pegging minimum wages to inflation.

Upton Institute’s Brad Hershbein noted that although wages of the lowest decile grew most quickly, so did inflation pain, which dampens the wage effect.  Participants were confused by the broad weakness in wage gains in the current labor market. Ball suggested supply-shock inflation might not have pressured wages, while others suggested the benefits of remote work may have stood in for higher wages and the recent increase of immigration is taking the pressure off as well.

There’s more. Slides and all else here, and worth a look.

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