Regression-Based Simulation of Anti- Poverty Policies in Uganda
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Date
2005
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AgEcon Search
Abstract
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.
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Keywords
Regression-Based Simulation, Anti- Poverty Policies, Uganda
Citation
Kraybill, D. S., & Bashaasha, B. (2005). Regression-Based Simulation of Anti-Poverty Policies in Uganda (No. 378-2016-21275).