Category Archives: Uncategorized

Why Free College Tuition Is Spreading From Cities to States

Source: Marsha Mercer, Stateline, January 5, 2018

To churn out more workers with marketable skills, an increasing number of states are offering residents free tuition to community colleges and technical schools. The move also is a reaction to fast-rising tuition costs — increases that stem, in part, from states reducing their financial support of public colleges and universities. …..


On Free College, West Virginia is a Case Study of What to Do and Not Do
Source: Mark Huelsman, Demos, Policy Shop blog, January 17, 2018

West Virginia looks like it might become the latest state to offer a version of tuition-free community college—joining Tennessee, Oregon, New York (which has extended free college to public 4-year schools as well), and a host of localities across the country. In a state with a Republican governor and Senate, the proposal (known as WV Invests) is the most recent sign that some version of guaranteed college affordability is not going away anytime soon. And like most versions of free community college, there are a few upsides and a few notable—and correctable—drawbacks….

The Effects of Chains on the Measurement of Competition in the Nursing Home Industry

Source: Richard A. Hirth, Qing Zheng, David C. Grabowski, David G. Stevenson, Orna Intrator, Jane Banaszak-Holl, Medical Care Research and Review, OnlineFirst, First Published April 7, 2017
(subscription required)

From the abstract:
Consistently accounting for more than 50% of the nursing homes in the United States, corporate chains have played an important role in the industry for several decades. However, few studies have explicitly considered the role of chains in measuring competition in nursing home markets. In this study, we use a newly developed database tracking common ownership over a period of nearly two decades to compare chain-adjusted and unadjusted measures of competition at the county and 25 km fixed-radius levels and explore how the differences would affect the assessment of local market structure. On average, the chain-adjusted Herfindahl–Hirschman Indexes (HHIs) are about 0.02 higher than the unadjusted HHIs. Each year, about 20% to 22% of the counties would appear more concentrated when recalculating HHIs accounting for common ownership. Evidence suggests that nursing home chains tend to focus more on expanding access to new markets within a state than to increasing market power within a smaller local market.

Lessons Learned From the Affordable Care Act: The Premium Subsidy Design May Promote Adverse Selection

Source: Ilana Graetz, Caitlin N. McKillop, Cameron M. Kaplan, Teresa M. Waters, Medical Care Research and Review, OnlineFirst, First Published May 4, 2017
(subscription required)

From the abstract:
Since 2014, average premiums for health plans available in the Affordable Care Act marketplaces have increased. We examine how premium price changes affected the amount consumers pay after subsidies for the lowest-cost bronze and silver plans available by age in the federally facilitated exchanges. Between 2015 and 2016, benchmark plan premiums increased in 83.3% of counties. Overall, rising benchmark premiums were associated with lower average after-subsidy premiums for the lowest-cost bronze and silver plans for older subsidy-eligible adults, but with higher after-subsidy premiums for younger adults purchasing the same plans, regardless of income. With recent discussions to replace or overhaul the Affordable Care Act, it is critical that we learn from the successes and failures of the current policy. Our findings suggest that the subsidy design, which makes rising premiums costlier for younger adults looking to purchase an entry-level plan, may be contributing to adverse selection and instability in the marketplace.

Robots could take over 38% of U.S. jobs within about 15 years, report says

Source: Samantha Masunaga, Los Angeles Times, March 24, 2017

…More than a third of U.S. jobs could be at “high risk” of automation by the early 2030s, a percentage that’s greater than in Britain, Germany and Japan, according to a report released Friday. The analysis, by accounting and consulting firm PwC, emphasized that its estimates are based on the anticipated capabilities of robotics and artificial intelligence, and that the pace and direction of technological progress are “uncertain.” It said that in the U.S., 38% of jobs could be at risk of automation, compared with 30% in Britain, 35% in Germany and 21% in Japan….

Consumer spending prospects and the impact of automation on jobs
Part 4: Will robots steal our jobs? The potential impact of automation on the UK and other major economies
Source: Price Waterhouse Cooper (PwC), UK Economic Outlook March 2017

Noise and neurotoxic chemical exposure relationship to workplace traumatic injuries: A review

Source: Cheryl Fairfield Estill, Carol H. Rice, Thais Morata, Amit Bhattacharya, Journal of Safety Research, New Articles in Press, December 8, 2016
(subscription required)

From the abstract:
More than 5,000 fatalities and eight million injuries occurred in the workplace in 2007 at a cost of $6 billion and $186 billion, respectively. Neurotoxic chemicals are known to affect central nervous system functions among workers, which include balance and hearing disorders. However, it is not known if there is an association between exposure to noise and solvents and acute injuries. Method: A thorough review was conducted of the literature on the relationship between noise or solvent exposures and hearing loss with various health outcomes. Results: The search resulted in 41 studies. Health outcomes included: hearing loss, workplace injuries, absence from work due to sickness, fatalities, hospital admissions due to workplace accidents, traffic accidents, hypertension, balance, slip, trips, or falls, cognitive measures, or disability retirement. Important covariates in these studies were age of employee, type of industry or occupation, or length of employment. Discussion: Most authors that evaluated noise exposure concluded that higher exposure to noise resulted in more of the chosen health effect but the relationship is not well understood. Studies that evaluated hearing loss found that hearing loss was related to occupational injury, disability retirement, or traffic accidents. Studies that assessed both noise exposure and hearing loss as risk factors for occupational injuries reported that hearing loss was related to occupational injuries as much or more than noise exposure. Evidence suggests that solvent exposure is likely to be related to accidents or other health consequences such balance disorders. Conclusions: Many authors reported that noise exposures and hearing loss, respectively, are likely to be related to occupational accidents. Practical applications: The potential significance of the study is that findings could be used by managers to reduce injuries and the costs associated with those injures.

• 14 studies showed an increase in injuries (or other health outcome) with increased levels of noise exposure.
• Eight of the nine studies showed significant differences in the health outcome with greater levels of hearing loss.
• Few studies report a relationship between solvent exposures and injuries.
• Very few studies report a combined relationship of noise and solvent exposures and injuries.

2016 Healthcare Salary Guide

Source: Health eCareers, 2016

Our 2016 Salary Guide is a comprehensive look at healthcare compensation, benefits and more! Take a sneak peek, then download the full guide using the form below. Find out how your pay stacks up against other healthcare professionals when it comes to specialty, location and experience using our Salary Calculator, then download our annual Salary Guide for even more information, including salary and job satisfaction stats, benefits and employee concerns.

Trends in College Spending: 2003–2013 – Where Does the Money Come From? Where Does It Go? What Does It Buy?

Source: Donna M. Desrochers and Steven Hurlburt, Delta Cost Project, January 2016

Trends in College Spending: 2003–2013 examines college and university finances during one of the most turbulent economic periods in decades. The financial ramifications of the 2008 recession were vast, affecting students’ ability to pay for college, lawmakers’ prioritization of public resources, and the budgetary environment facing higher education leaders. The challenges brought by the fiscal crisis also provided colleges and universities with an opportunity to reevaluate how they allocated resources and rethink how to manage costs and improve student outcomes.

Like previous Trends in College Spending reports, this update is meant to aid readers in developing a deeper understanding of how colleges collect and spend money and the outcomes they produce. Financial and performance trends during the 2003–2013 decade suggest that, five years after the onset of the recession, higher education finally began to show signs of a fiscal recovery.

Spending increases were widespread in 2013, with all types of public and private institutions spending, on average, more per student than the year before. Public and private research and master’s institutions experienced the strongest resurgence, as educational spending per student returned near the peak levels observed before the recession. The strongest revenue growth occurred among public research universities and private institutions. Public community colleges also saw a particularly strong financial turnaround in 2013, aided by sharp enrollment declines that eased strained budgets and boosted per-student financial measures, although they remained well below their prerecession operating levels…..
Delta Cost Project Database
The Delta Cost Project Database is updated with 2012-2013 data. These data have been translated into analytical formats to allow for longitudinal analyses of trends in postsecondary education, with a focus on revenues and expenditures.

Trends in College Spending (TCS) Online
TCS Online is updated with 2007-2012 data. This user-friendly data tool provides information on revenues, spending, and outcomes for individual colleges and universities and for the U.S.

The Impact of Tax and Expenditure Limits on Municipal Credit Ratings

Source: Craig S. Maher, Steven C. Deller, Judith I. Stallmann, and Sungho Park, American Review of Public Administration, OnlineFirst, July 1, 2016
(subscription required)

From the abstract:
The research focuses on the impact of the restrictiveness of tax and expenditure limitations (TELs) on the credit ratings of 566 U.S. municipalities over the 2007-2010 time period. The credit ratings used are by Moody’s rating agency, and municipal fiscal data are drawn from the Government Financial Officers Association’s (GFOA) Certificate of Achievement for Excellence in Financial Reporting program. Results suggest that more restrictive TELs imposed on municipalities by the states have a weak negative impact on credit ratings which will likely force municipalities to face higher interest costs.