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#1
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"dads don't care" is the implication
New census "info". Seems rather imcomplete to me. It takes one stat
and does nothing to try and find out 'why'. My first question was "Are single mothers more likely to be on government assistance while single fathers make just enough to not qualify?" http://story.news.yahoo.com/news?tmp.../ap_on_go_ot/u ninsured_kids_3 |
#2
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"dads don't care" is the implication
The Dave© wrote:
New census "info". Seems rather imcomplete to me. It takes one stat and does nothing to try and find out 'why'. My first question was "Are single mothers more likely to be on government assistance while single fathers make just enough to not qualify?" http://story.news.yahoo.com/news?tmp.../ap_on_go_ot/u ninsured_kids_3 If you look at the numbers, there's actually no significant difference, given the differential sizes of the populations. Which means that this could easily be a sampling fluke; and, six months later, the numbers would be reversed. That's the big problem with 'one point in time' statistics. There is a very poorly publicized government program that provides health insurance to kids if their parents can't afford it, even if the parents are employed. However, the kicker is that the parents' employers must not offer any health insurance. So, the differential easily could be that the men are more likely to have an employer who does offer insurance -- which the father cannot afford. Or that men are not as well-informed about the program than women. Or that they are more reluctant to use the program even if they know about it. Chris Owens -----= Posted via Newsfeeds.Com, Uncensored Usenet News =----- http://www.newsfeeds.com - The #1 Newsgroup Service in the World! -----== Over 100,000 Newsgroups - 19 Different Servers! =----- |
#3
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"dads don't care" is the implication
The Dave© wrote:
New census "info". Seems rather imcomplete to me. It takes one stat and does nothing to try and find out 'why'. My first question was "Are single mothers more likely to be on government assistance while single fathers make just enough to not qualify?" http://story.news.yahoo.com/news?tmp.../ap_on_go_ot/u ninsured_kids_3 If you look at the numbers, there's actually no significant difference, given the differential sizes of the populations. Which means that this could easily be a sampling fluke; and, six months later, the numbers would be reversed. That's the big problem with 'one point in time' statistics. There is a very poorly publicized government program that provides health insurance to kids if their parents can't afford it, even if the parents are employed. However, the kicker is that the parents' employers must not offer any health insurance. So, the differential easily could be that the men are more likely to have an employer who does offer insurance -- which the father cannot afford. Or that men are not as well-informed about the program than women. Or that they are more reluctant to use the program even if they know about it. Chris Owens -----= Posted via Newsfeeds.Com, Uncensored Usenet News =----- http://www.newsfeeds.com - The #1 Newsgroup Service in the World! -----== Over 100,000 Newsgroups - 19 Different Servers! =----- |
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