Browsing by Author "Kraybill, David S."

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    Explaining Poverty in Uganda: Evidence from the Uganda National Household Survey
    (AgEcon Search, 2004) Kraybill, David S.; Bashaasha, Bernard
    The broad aim of the research was to establish a tool for identifying cost effective poverty alleviation strategies in Uganda. The objectives were to test hypotheses on causes of poverty in Uganda and to develop a poverty simulation model for policy analysis. Data for 9,710 households from the 2002/2003 Uganda National Household Survey (UNHS) was used to estimate a semi-log econometric model. The model included 19 households’ level characteristics and 8 community level characteristics as explanatory variables. The dependent variable was the natural logarithm of household consumption per adult equivalent. The model was estimated at both national and regional (5 regions) by weighted least squares with robust variance. The results identified 8 particularly promising poverty reducing policies namely: expansion of formal employment, secondary education, reduction in population growth, rural electrification, off-farm activities, collateral free credit, telephone services and reducing distance to community services. The study highlights the policy implications of the results.
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    The potential gains from geographical targeting of anti-poverty programs in Uganda
    (African Journal of Agricultural and Resource Economics, 2006) Kraybill, David S.; Bashaasha, Bernard
    Governments do not have enough resources to make anti-poverty programs available to everyone in many African countries. Targeting the poorest populations could increase the efficiency of available program resources. Anti-poverty programs could target either households or geographical areas. This study compares the potential poverty reduction impact of these two approaches in Uganda. The impact of various policy changes on the poverty rate in Uganda is simulated using the estimated parameters of an econometric model of household consumption. The policies examined are family-planning, increased primary school attendance, increased secondary school attendance, expansion of formal employment and micro-enterprise expansion. The results reveal gains in poverty rate reduction from program targeting as compared to randomly allocating finite program resources to a sub-sample of the population. Furthermore, geographical targeting is shown to be more effective than household targeting for most of the six policies examined in the study.
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    Regression-Based Simulation of Anti- Poverty Policies in Uganda
    (AgEcon Search, 2005) Kraybill, David S.; Bashaasha, Bernard
    Poverty has increased in Subsaharan Africa over the past two decades both in absolute terms and as a share of the world’s total poor. The number of persons estimated to be living on one dollar a day or less in Subsaharan Africa increased from 164 million in 1981 to 314 million in 2001 (World Bank, 2004). Over the same period, poverty in Subsaharan Africa as a share of world poverty rose from 11.3 percent to 28.5 percent. By 2015, one in every two poor persons in the world will live in Subsaharan Africa, compared to one in five in 1990 and one in ten in 1980.1 To measure poverty rates, African governments and multilateral aid organizations have devoted much effort and expense to the implementation of periodic household surveys. Poverty estimates derived from household surveys are used as performance criteria by the World Bank in aid negotiations with Heavily Indebted Poor Countries (HIPC).2 Beyond the measurement of poverty rates, the household survey data now available in many Sub-saharan African countries represents a rich source of data for analysis of the poverty impacts of domestic policies. In this paper, we utilize a regression model and data from the 2002/2003 household survey in Uganda to analyze the poverty alleviation potential of anti-poverty strategies.