Women in Entrepreneurship (Issue Brief) - Revision history

Ed at 17:40, 21 September 2020

2020-09-21T17:40:01Z

2020-09-21T17:34:12Z

2020-09-20T17:20:20Z

2020-09-20T17:12:32Z

2017-10-31T15:23:08Z

2017-06-10T21:33:54Z

Timeline and plan for summer

2017-04-21T18:56:34Z

Timeline and plan for summer

2017-04-21T18:56:10Z

Timeline and plan for summer

2017-04-21T18:05:54Z

2017-04-11T22:05:06Z

Call with SDC Platinum to determine information about the data

@@ Line 1: / Line 1: @@
 {{Project
-|Has project output=
+|Has project output=Content
 |Has sponsor=McNair Center
 |Has title=Women in Entrepreneurship (Issue Brief)

@@ Line 1: / Line 1: @@
 {{Project
 |Has sponsor=McNair Center
 |Has title=Women in Entrepreneurship (Issue Brief)

@@ Line 1: / Line 1: @@
 {{Project
 |Has title=Women in Entrepreneurship (Issue Brief)
 |Has owner=Carlin Cherry

@@ Line 1: / Line 1: @@
-{{McNair Projects
+{{Project
 |Has title=Women in Entrepreneurship (Issue Brief)
 |Has owner=Carlin Cherry

@@ Line 4: / Line 4: @@
 |Has start date=Spring 2016
 |Has keywords=Women, Entrepreneurship
-|Is billed to=AccMcNair01
+|Has project status=Tabled
 }}
 =Timeline and plan for summer=
 *note: I am using "hopethisworks8.txt" to make my graphs

@@ Line 12: / Line 12: @@
 =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

@@ Line 25: / Line 25: @@
 ***each one of these will correspond to a regression
 ***variables: IPO, acquisition, exit all correspond to 0,1
 =Spring 2017=

← Older revision		Revision as of 18:56, 21 April 2017
Line 12:		Line 12:

	=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=		=Spring 2017=

@@ Line 10: / Line 10: @@
 |Has project status=Active
 }}
 =Spring 2017=

@@ Line 58: / Line 58: @@
 ##After it’s uploaded, is the data updated continuously?
 #Better coverage for companies that get more rounds of financing/IPO/M&A?
 #VC data sourced from government filings, public press releases, and quarterly surveys of private equity firms. If company does not participate in survey, then SDC does not have the data, which is why coverage for some firms is better than others.