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Cataleya Zoe

We've jobs enough for the clever, in healthcare and finance - 0 views

Where will our children's jobs come from? It's something to ponder after the implosion of one of the manufacturing sector's linchpins. The first, broad answer is the retreats of Ford, Holden and To...

westhill consulting healthcare insurance We've jobs enough for the clever in and finance

started by Cataleya Zoe on 13 Feb 14 no follow-up yet
Rose McGowan

If Your Kids Get Free Health Care, You're More Likely to Start a Company - 2 views

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    Starting a business is risky enough in the best of circumstances. Most new ventures fail, and the prospect of forgoing a salary is enough to keep many would-be entrepreneurs from taking the plunge. But think about how much harder it would be if your child had a health condition, and you couldn't get her insurance if you struck out on your own. That's less of a problem in the U.S. than it was a few years ago, thanks to Obamacare, but until recently it was a very real conundrum. So does the extension of publicly provisioned health insurance prompt more people to start companies? That's the question asked by a paper released earlier this year by Gareth Olds of Harvard Business School. Olds analyzed Census data from before and after the passage of the Children's Health Insurance Program in the U.S. in 1997 to assess its impact on entrepreneurship. CHIP, or SCHIP as it was previously known, provides publicly funded health insurance to children whose families don't qualify for Medicare, but whose incomes still fall below a cutoff (typically around 200% of the federal poverty line). His results suggest that the policy did significantly increase business creation by those families affected. The self-employment rate for CHIP recipients increased from just under 15% of those eligible to over 18%. That amounts to an a 23% increase. The rate of ownership of incorporated businesses - a better proxy for sustainable, growth entrepreneurship - increased even more dramatically, from 4.3% to 5.8%, an increase of 31%. What about all the other factors that might skew this sort of analysis? Olds used several quasi-experimental statistical methods in his research to control for such variables. The basic intuition behind his methods is that a family just above the CHIP cutoff isn't all that different from a family just below it. Whether you make 199% of the poverty line or 201% doesn't matter for much, except whether or not you'll be able to enroll in the program.
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