Comparing Poverty of Refugees and Their Hosts
Sunday, Jan. 5, 2020 8:00 AM - 10:00 AM (PDT)
- Chair: Paolo Verme, World Bank
Collecting Representative Panel Data in a Refugee Setting- Evidence from Bangladesh
AbstractLarge-scale humanitarian crises demand the rapid allocation of assistance, often without the benefit of deep, comprehensive measures of wellbeing. Using novel panel survey of hosts and recently arrived refugees in Southern Bangladesh, we conduct three analyses to inform humanitarian responses broadly. First, we provide a comprehensive description of the wellbeing of host and refugee communities, including consumption, livelihoods, and health. Second, we show that cross-survey imputation between our panel and administrative and census-type data from humanitarian actors successfully identifies easy-to-observe predictors of need, which can be used to effectively target assistance. Finally, differences in exposure to, say, seasonal or natural disaster risk between host and refugee communities, may have important implications for the distribution of assistance. As such, we assess the volatility of wellbeing in each community using two waves of the panel data.
Is Imputing Poverty Efficient? An Example from Refugee Data in Chad
AbstractCollecting household survey data on refugees remains a challenge, at least in the foreseeable future, for various logistical and technical reasons. We address this challenge by applying cross-survey imputation methods to a combined survey and UNHCR census-type dataset to predict the welfare of refugees in Chad. Our proposed cross-survey imputation method offers poverty estimates that fall within a 95% margin of the true rate. This result is robust to different poverty lines, sets of regressors, and modelling assumptions of the error term. The method also outperforms widely used methods such as Proxy Means Tests (PMT) and the targeting method currently used by humanitarian organizations in Chad, although the latter performs surprisingly well given its simplicity.
- D6 - Welfare Economics
- O2 - Development Planning and Policy