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Women in Entrepreneurship (Issue Brief) (view source)
Revision as of 14:56, 21 April 2017
, 14:56, 21 April 2017→Timeline and plan for summer
=Timeline and plan for summer=
*4-5 artifacts, 4-5 specifications, last artifact a regression table (tables, charts)
**something about data itself. pie chart (how many companies do we have, how many do we have ceo information for, how many do we have founder) and then relatedly many can we classify as men or women
***this will influence all remaining graphs - use this info to guide the rest of your graphs
***classified drs using their first name matched to common first name list, that's why we were able to classify some drs as women, some as men, and some drs but gender unknown
**graph with time on x axis, % on y axis, women founders, women ceos, women management positions (management position being anything that is vp and above) over time
***will write up these results-ie most of the women in "womens management positions"
**conditional on having (ceo identified) how many women, how many men, drs, dr men, dr women, dr unknown.
**bar graph with women in various industries, y axis will have percentage
***should also make note of total percentage of VC dollars in each industry
**regression table
***variable names, with n and r^2, industry/year fixed effects Y/N
***each one of these will correspond to a regression
***variables: IPO, acquisition, exit all correspond to 0,1
=Spring 2017=
