Gender Differences in Employment Worldwide
In a recent report from Gallup World, it was found that, worldwide, men are almost twice as likely to have a "good" job than women. The report shows that 34% of men report having a good job compared to 18% of women who report the same. Gallup defines a "good' job as one that requires full-time work for an employer. The data for this report were gathered from 2005/2006 through 2013 in face to face or landline telephone interviews of 225,975 individuals aged 15 and older throughout the world.
The table shows that women's highest deficit in full-time employment are in South Asia (-26%) and Non-EU Europe (-22%), while Sub-Sarahan Africa has the lowest deficit (-7%) followed by the Commonwealth of Independent States (-8%). The deficit for women in Northern America stands at -19%.
themostsearched.org offers several teaching/learning tools on the topics of worldwide employment and gender in employment: Gallup's Global Tracking Tool, Employment to Population Ratio , and Occupational Segregation and Earning Differences .
Read more:
http://www.gallup.com/poll/164666/globally-men-twice-likely-women-good-job.aspx
http://www.gallup.com/home.aspx?ref=logo
http://www.gallup.com/poll/world.aspx?ref=logo
themostsearched.org Resources:
http://themostsearched.org/resource/3898
http://themostsearched.org/resource/2936
http://themostsearched.org/resource/3109
Unemployment Gap between Rich and Poor Sets Record
In a recent Associated Press news article, reporter Hope Yen said that "the gap in employment rates between America's highest- and lowest-income families has stretched to its widest levels since officials began tracking the data a decade ago." She adds that "(r)ates of unemployment for the lowest-income families — those earning less than $20,000 — have topped 21 percent, nearly matching the rate for all workers during the 1930s Great Depression."
The data analysis using the Current Population Survey from the U. S. Census Bureau for this report was conducted by Andrew Sum of the Center for Labor Market Studies and Ishwar Khatiwada from Northeastern University Additional materials were provided by David Autor of MIT, John Schmitt, a senior economist at the Center for Economic and Policy Research, a Washington Think Tank, and Mark Rank of Washington University in St. Louis.
Read more:
http://www.ap.org/
http://news.yahoo.com/employment-gap-between-rich-poor-widest-record-072956259.html
http://www.census.gov/cps/data/
http://www.census.gov/
http://www.northeastern.edu/clms/
http://www.cepr.net/
Safer in Cities?
In an article in The Atlantic, “You're More Likely to Die a Violent Death in Rural America Than in a City,” author Emily Badger explains why the title may be true based on the recently published study, “Safety in Numbers: Are Major Cities the Safest Places in the United States?” published in the Annals of Emergency Medicine.
The study looked at every injury death in America between 1999 and 2006, excluding death by terrorism from the National Center for Health Statistics. That number totaled 1,295,919 deaths which were tagged with the county where the injury took place, with counties classified on a 10-step continuum from urban to rural. The main findings of the study says is urban areas are significantly safer than rural areas, when looking at all means of death due to injury with the top three causes of death being motor vehicle crashes, firearm use or accident, and poisoning.
The study looked at every injury death in America between 1999 and 2006, excluding death by terrorism from the National Center for Health Statistics. That number totaled 1,295,919 deaths which were tagged with the county where the injury took place, with counties classified on a 10-step continuum from urban to rural. The main findings of the study says is urban areas are significantly safer than rural areas, when looking at all means of death due to injury with the top three causes of death being motor vehicle crashes, firearm use or accident, and poisoning.
Maps from "Safety in Numbers: Are Major Cities the Safest Places in the United States?" by S. Myers et al. in Annals of Emergency Medicine
“Behind a cancer-treatment firm’s rosy survival claims”
In a recent post on the blog, Statistical Modeling, Causal Inference, and Social Science, the following was reported:
Brett Keller points to a recent news article by Sharon Begley and Robin Respaut:
A lot of doctors, hospitals and other healthcare providers in the United States decline to treat people who can’t pay, or have inadequate insurance, among other reasons. What sets CTCA [Cancer Treatment Centers of America] apart is that rejecting certain patients and, even more, culling some of its patients from its survival data lets the company tout in ads and post on its website patient outcomes that look dramatically better than they would if the company treated all comers. These are the rosy survival numbers . . .
Details:
CTCA reports on its website that the percentage of its patients who are alive after six months, a year, 18 months and longer regularly tops national figures. For instance, 60 percent of its non-small-cell lung cancer patients are alive at six months, CTCA says, compared to 38 percent nationally. And 64 percent of its prostate cancer patients are alive at three years, versus 38 percent nationally.
Such claims are misleading, according to nine experts in cancer and medical statistics whom Reuters asked to review CTCA’s survival numbers and its statistical methodology.
The experts were unanimous that CTCA’s patients are different from the patients the company compares them to, in a way that skews their survival data. It has relatively few elderly patients, even though cancer is a disease of the aged. It has almost none who are uninsured or covered by Medicaid – patients who tend to die sooner if they develop cancer and who are comparatively numerous in national statistics. . . . Accepting only selected patients and calculating survival outcomes from only some of them “is a huge bias and gives an enormous advantage to CTCA,” said biostatistician Donald Berry . . .
What I really like about this article is how it combines quantitative information with qualitative interviews:
Carolyn Holmes, a former CTCA oncology information specialist in Tulsa, Oklahoma, said she and others routinely tried to turn away people who “were the wrong demographic” because they were less likely to have an insurance policy that CTCA preferred. Holmes said she would try to “let those people down easy.” . . .The ads also challenge viewers to “compare our treatment results to national averages.” Doing so, on the company’s website, shows that CTCA’s reported survival outcomes regularly beat those averages.Experts in medical data who reviewed CTCA’s claims for Reuters say those claims are suspect because of what they called deviations from best practices in statistics – in particular, comparing its carefully selected patients to those nationwide.“It makes their data look better than it is,” said Robert Strawderman, professor and chairman of biostatistics at the University of Rochester. “So the comparisons used to suggest that CTCA has better survival rates are pretty meaningless.”



