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Things to go over with Ed:
#my work on doctor problem so far - run against 500 most common names and see how many results that leaves unmatched. Then if num unassigned doctors > 500, take some data sets that we can easily access (imdb, olympic athletes).
#new variables we want to build
Women in Entrepreneurship (Issue Brief) (view source)
Revision as of 16:46, 4 April 2017
, 16:46, 4 April 2017→Spring 2017
==Current plan to complete project==
#Lit Review (which will be compiled here [[Women in Entrepreneurship Lit Review]]). Keep track of the things that have already been done in other research reports, so that we can do something different/original or so we can prove their data wrong. Done 3/28.
#Brainstorm ways to fix Dr. problem in data (assigning gender to those who are doctors), recode them. reran new tables with new coded doctors. done4/4.
#Think of new variables to add depending on the guidance from the lit review (might include adding different variables than solely womenceo/womenfounder but will depend on litreview).
##add control variable for the people in data who have no gender
#I think from there I can do analysis and start to write report!
==For analysis==
