The issue that led West Virginia teachers to walk out may be boiling over elsewhere as states neglect workers’ benefits, sometimes causing financial and medical hardship for public servants.
From the summary:
New Census Bureau data released on March 22, 2018, demonstrate the continuing influence of domestic migration on U.S. demographic trends. Migration patterns are reverting to those common before the recession. Suburban counties of large metropolitan areas, smaller metropolitan areas, and rural counties proximate to metropolitan areas all gained more domestic migrants in the last year. In contrast, domestic migration losses grew in the core counties of metropolitan areas of 1 million or more and remained substantial in rural counties that are not adjacent to an urban area.
– Domestic migration losses from large urban cores rose sharply.
– Domestic migration gains are accelerating in other metro areas.
– Population growth has resumed in rural areas.
– More people are dying, but births remain low.
….This summary includes key findings from the 2018 research and highlights notable comparisons to 2008 results. The analysis shows that libraries remain valued institutions that most voters have a positive association with and find useful. There continues to be stalwart support for library funding in many communities as evidenced by the fact that the majority of local library ballot measures in recent years have passed. This new national voter data, however, indicates a softening in committed support for libraries over the past decade. Libraries and library advocates should take action to address this downward trend…..
In our most recent study, we analyze racial differences in economic opportunity using data on 20 million children and their parents. We show black children have much lower rates of upward mobility and higher rates of downward mobility than white children, leading to black-white income disparities that persist across generations. While Hispanic and black Americans presently have comparable incomes, the incomes of Hispanic Americans are increasing steadily across generations.
The black-white gap in upward mobility is driven entirely by differences in men’s, not women’s, outcomes. Black and white men have very different outcomes even if they grow up in two-parent families with comparable incomes, education, and wealth; live on the same city block; and attend the same school. Black-white gaps are smaller in low-poverty neighborhoods with lower levels of racial bias among whites and a larger fraction of black fathers at home. We conclude that reducing the black-white income gap will require efforts whose impacts cross neighborhood and class lines and increase upward mobility specifically for black men.
This year’s crop of graduating medical students just found out what hospital they’ve “matched” to for the residency training they’ll start this summer. A new study suggests the changing schedules they’ll have to endure as residents may take a heavy toll on sleep, physical activity, and mood. ….
Effects of Sleep, Physical Activity, and Shift Work on Daily Mood: a Prospective Mobile Monitoring Study of Medical Interns Authors Authors and affiliations
Source: David A. Kalmbach, Yu Fang, J. Todd Arnedt, Amy L. Cochran, Patricia J. Deldin, Adam I. Kaplin, Srijan Sen, Journal of General Internal Medicine, First Online: March 14, 2018
From the abstract:
Although short sleep, shift work, and physical inactivity are endemic to residency, a lack of objective, real-time information has limited our understanding of how these problems impact physician mental health. Objective To understand how the residency experience affects sleep, physical activity, and mood, and to understand the directional relationships among these variables.
A prospective longitudinal study. Subjects Thirty-three first-year residents (interns) provided data from 2 months pre-internship through the first 6 months of internship.
Objective real-time assessment of daily sleep and physical activity was assessed through accelerometry-based wearable devices. Mood scaled from 1 to 10 was recorded daily using SMS technology. Average compliance rates prior to internship for mood, sleep, and physical activity were 77.4, 80.2, and 93.7%, and were 78.8, 53.0, and 79.9% during internship.
After beginning residency, interns lost an average of 2 h and 48 min of sleep per week (t = − 3.04, p < .01). Mood and physical activity decreased by 7.5% (t = − 3.67, p < .01) and 11.5% (t = − 3.15, p < .01), respectively. A bidirectional relationship emerged between sleep and mood during internship wherein short sleep augured worse mood the next day (b = .12, p < .001), which, in turn, presaged shorter sleep the next night (b = .06, p = .03). Importantly, the effect of short sleep on mood was twice as large as mood’s effect on sleep. Lastly, substantial shifts in sleep timing during internship (sleeping ≥ 3 h earlier or later than pre-internship patterns) led to shorter sleep (earlier: b = − .36, p < .01; later: b = − 1.75, p < .001) and poorer mood (earlier: b = − .41, p < .001; later: b = − .41, p < .001). Conclusions: Shift work, short sleep, and physical inactivity confer a challenging environment for physician mental health. Efforts to increase sleep opportunity through designing shift schedules to allow for adequate opportunity to resynchronize the circadian system and improving exercise compatibility of the work environment may improve mood in this depression-vulnerable population.
In early February, concerns about inflation and rising interest rates sent global financial markets into a frenzy, prompting the biggest single-day drop ever in the Dow Jones Industrial Average. Stocks have since recovered some of their losses.
A similar episode occurred exactly 10 years earlier, though few may remember. In February 2008, the failure of an obscure market precipitated a similar selling frenzy. At the time, this sell-off went mostly unrecognized as a harbinger of something worse because the stock market quickly recovered.
Just as the world shouldn’t have been complacent in 2008, we shouldn’t rest easy today. Both events are proverbial dead canaries in a coal mine.
That’s because they have something else in common. Both stemmed from worries that rising borrowing costs would hurt debt-burdened consumers, the housing market and ultimately the U.S. economy.
Our soon-to-be-published research shows that the same problems that led to the biggest financial market meltdown since the Great Depression are alive and well today…..
Source: Mark Zandi, Regional Financial Review, Volume 28 Number 6, February 2018
The economy is strong and growing. And, with big deficit-financed tax cuts and government spending increases kicking in, growth will accelerate over the coming year. Unemployment appears headed into the low threes, close to the lowest jobless rate the nation has ever experienced. But this is unsustainable. The economy is likely to overheat, with wage and price pressures intensifying and interest rates rising. There will be heightened volatility in financial markets as investors are forced to adjust to the higher rates. Once the fiscal stimulus fades early in the next decade, the odds of a sharp slowing in growth are high. A recession is possible.
Source: Shelby Schwabauer, Florence Zeman, Kurt Krummenacker, Naomi Richman, Kendra M. Smith, Leonard Jones, Alexandra S. Parker, Timothy Blake, Michael Mulvaney, Gail Sussman, Moody’s, Sector In-Depth, March 12, 2018
Upgrades topped downgrades for the third year in a row in 2017, indicating continued improvement in credit quality across public finance as a whole. However, there are pockets of weakness, notably the healthcare and higher education sectors, which both saw downgrades widely outpace upgrades in 2017. In total, across the 11,344 public finance obligors, upgrades exceeded downgrades by 68% in 2017. The dollar value of downgraded debt, however, was double that of upgraded debt; the State of New Jersey (A3 stable), State of Illinois (Baa3 negative), State of Connecticut (A1 stable) and Puerto Rico (Ca negative) and its related issuers accounted for almost 70% of the downgraded debt (see page 3 for explanations).
Source: Christopher N. Morrison, Benjamin Ukert, Aimee Palumbo, Beidi Dong, Sara Jacoby, Douglas, J. Wiebe, Epidemiology, Published Ahead-of-Print, Post Acceptance: March 12, 2018
From the abstract:
This study investigates whether assault frequency increased on days and in cities where candidates Donald Trump and Hillary Clinton held campaign rallies prior to the 2016 US Presidential election.
We calculated city-level counts of police-reported assaults for 31 rallies for Donald Trump and 38 rallies for Hillary Clinton. Negative binomial models estimated the assault incidence on rally days (Day 0) relative to that on 8 control days for the same city (Days -28, -21, -14, -7, +7, +14, +21, and +28).
Cities experienced an increase in assaults (Incidence Rate Ratio [IRR]=1.12, 95%CI: 1.03-1.22) on the days of Donald Trump’s rallies, and no change in assaults on the days of Hillary Clinton’s rallies (IRR=1.00, 95%CI: 0.94-1.06).
Assaults increased on days when cities hosted Donald Trump’s rallies during the 2016 Presidential election campaign.
Many large urban areas in the U.S. now have more “guard labor” than teachers. ….
…. Our definition of guard labor is narrower than that of Bowles and Jayadev, limited to what they call “protective guard labor”—that is, police officers and detectives, prison guards, private security guards, transportation security screeners, and other protective service workers. Our definition of teachers includes pre-school, elementary, middle-school, and high-school teachers, as well as special-education teachers.
For each metro, we looked at the change in guard labor over time, the number of guards per 10,000 people, the location quotient for guard labor, and—most importantly for our purposes—the ratio of guards to teachers. ….