Migrant-based youth bulges and social conflict in urban sub-Saharan Africa
by Ashira Menashe-Oren


Analysis was run in Stata 15 using Menashe-Oren_migrant youth bulge and conflict.do
Below is list of all data used, the source of data, a link to downloadable data, the name of the file called in the dofile, and a list of the variables included in analysis and what they capture.



1.Social conflict analysis database 
	Robert S. Strauss Center for International Security and Law at the University of Texas at Austin
	https://www.strausscenter.org/scad.html
	scad.dta
	variables: issue1 (The first issue mentioned as source of tension/disorder in the news about the conflict event)
		   locnum (Conflict event was in urban areas, rural areas, or nationwide)
		   sublocal (Identifier for extra geographic information of events - used to include in analysis only the first entry of event)
		   styr (Starting year of conflict event)
		   eyr (End year of conflict event)
		   
2. Urban and Rural Population by Age and Sex
	United Nations Department of Economic and Social Affairs, Population Division
	https://www.un.org/en/development/desa/population/publications/dataset/urban/urbanAndRuralPopulationByAgeAndSex.asp
	urpas.dta
	variables: Total (The total size of the population in thousands) 
		   15_19 (Population size in thousands within age group of 15 to 19 year olds - similarly for all other 5-year age groups)
	 	[note that variables are imported from excel into stata with x_ as prefix for all variable names so are referred to for example as x_Total or x_15_19]	
	*This data was used to  a) estimate sex ratios within rural/urban sectors for 15-24 year olds (sex ratio.dta)
				b) estimate migration flows using the residual method (census survival ratios) - see UN (2001) and Menashe-Oren & Stecklov (2018) references for details on method. 
					**Migration estimates are available in excel file "SSA Migration Rates" 
	
3. XPolity 
	Vreeland (2008) "The effect of political regime on civil war"
	https://github.com/n-klotz/X-Polity-Index
	xpolity.dta
	variables: xpolity (Adjusted polity score determining regime type ranging from -10 (strongly autocratic) to 10 (strongly democratic).

4. Unemployment
	The World Bank- World Development Indicators
	https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS
	unemployment_wdi.dta
	variables: unemployment (Percent of total labour force that is unemployed)

5. Civil War
	Uppsala Conflict Data Program at the department of Peace and Conflict Research, Uppsala University
	https://www.prio.org/Data/Armed-Conflict/UCDP-PRIO/
	prio_civilwar.dta
	variables: ID (Conflict identifier - unique value for each conflict in which there was use of armed forces, there were at least 25 deaths, and one side of conflict involved the government.)

6. Infant Mortality
	The World Bank
	https://data.worldbank.org/indicator/SP.DYN.IMRT.IN
	imr.dta
	variables: IMR (Infant mortality rate - per 1000 live births)
	
7. Education
	Wittgenstein Centre for Demography and Global Human Capital
	http://dataexplorer.wittgensteincentre.org/wcde-v2/
	edu.dta
	variables: pereduUpper (Proportion of the population with upper secondary education)

Note- Correlates of war country codes were used to combine some datafiles (available at: http://www.correlatesofwar.org/data-sets/cow-country-codes)