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Gender and Conflict: General Introduction and case-study for Burundi World Bank Workshop on Gender and Conflict, June 10, 2010. Philip Verwimp Solvay Brussels School of Economics and Management Universit é Libre de Bruxelles. Objectives.
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Gender and Conflict:General Introduction andcase-study for BurundiWorld Bank Workshop on Gender and Conflict, June 10, 2010 Philip Verwimp Solvay Brussels School of Economics and Management Université Libre de Bruxelles
Objectives • Study the impact of violent conflict on gender inequality • Focus on outcomes that have longer term effect, such as schooling, labor market participation, marriage and fertility • Not a study of the direct effects of violence, such as torture, kidnapping, rape • Sample of 6 countries with recent experience of violent conflict
Main methods • Large scale household data • Difference-in-Differences analysis, use temporal and spatial variation in the extent of conflict to compare cohorts exposed to conflict with those not exposed in their area of residence • Interpret the findings taking account of the country-specific context of gender and conflict in each of the six sample countries.
Status of the research • Today we present preliminary results • Final results towards the end of this year • Effect of conflict on gender is an empirical question Underlying question: how do we conceptualize a conflict shock ? Is it something similar to the better studied and understood economic shocks ? • We do not find the same effects in each country • Pre-existing gender inequalities as well as the type and duration of the conflict play and important role • Results also depend on how conflict is measured
Case-Study on Burundi • 1993-2005 civil war • Ethnic, regional, political • 300.000 people killed • GDP per capita decreased by almost 40% • Civilian suffering • Gendered impact • Peace agreement • Consociational system of governance
Spatial and temporal distribution of the civil war in Burundi
Province level Poverty (>national mean) before the War and Duration of War (#years)
Variables of interest and data set used • Independent: Exposure to conflict: number of years that a child is exposed to violent conflict during the age of 7-12 or 7-14 in her/his area of residence • Dependent: Completion of at least primary schooling (grade 6) • Surveys used - Burundi Household Priority Survey by the World Bank and ISTEEBU 1998-2007, 1.400 rural households in all but 3 provinces - Demographic and Health Survey (EDS, UNFPA, 2002) 5.000 rural households, all provinces, including displacement camps
Percentage females by cohorts and conflict, no-conflict areas
Some caution • In Burundi the minority of educated citizens has been strongly targeted in massacres and genocidal violence • Violent conflict at least affects the human capital base of a country in two ways - those who finished school: intentionally attacked - those who are in school at the time of the conflict : lower school attainment • Survey we work with is by definition a sample of survivors • When we find effects : they will be underestimate of the true effect
Length of Exposure to Conflict and Primary School Completion
Variables in the estimation • 2 cohorts, 1977-1982, 1982-1987 • Dependent variable: completion of primary schooling • Regressors: - exposure to the conflict (number of years, during primary school age ) - male/female - interaction between exposure and gender • Control variables: - linear trend (age) or year of birth fixed effects - Household characteristics - province fixed effects • Robustness checks and channels of impact - other measures of exposure to violent conflict - other outcome variables
Preliminary conclusions • Boys and girls exposed to violent conflict during school-age have a smaller chance to complete primary schooling in Burundi • The effect we measure, 30% less chance to complete for every additional year of conflict is an underestimate because • it is not the only devastating effect of conflict: educated adults run a higher risk to be killed • Because of that, our control group in the conflict affected area is biased towards lower educated adult • The effect is larger for boys which seems logic as they have more to loose, in particular boys from non-poor families • So exposure to conflict in Burundi seems not to work as an economic shock, because non-poor households cannot protect themselves from it. • Exposure to conflict (fighting) in the area of residence as well as its intensity and the frequency of displacement seems to be channels driving the result • Children from poor families: household characteristics !