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{{BlogPost
|TitleHas title= Measuring Entrepreneurship (Blog Post)|AuthorHas author=Dylan Dickens|SeriesPart of series=Entrepreneurship 101|Content Has content status=ActiveTabled|Has Graphics status=|Blog image=|Publication date=|Deliverable=Blog Post|Audience=General Public|Keywords=Business, Empirical, High Tech, Start-ups, Measure, Gazelle|Primary Billing=AccMcNair01|Priority=3|Due Date=NA|Stage=DRAFTEDNone
}}
==Abstract==
The above research shows that while much work has been done on the empirical measures of entrepreneurship, there still remains an ambiguity that could be problematic in policy crafting. Perhaps the lesson to be drawn is one of understanding, that while it is understandable for policy makers to desire succinct, empirical, indicators to generate entrepreneurship goals around, the data is often times more convoluted and ambiguous than any stakeholder would like. Perhaps with this understanding, and further support into the research on entrepreneurship, a more empirically backed and beneficial future can be generated for all.
 
Google Doc Link: https://docs.google.com/a/rice.edu/document/d/1ufcpCWNAzVyN0ZxhGkuSU96a0OIRNfNe0HMBDPfa8kQ/edit?usp=sharing
==References==
(4)http://www.ifn.se/wfiles/wp/wp959.pdf
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