Estimating household income to monitor and evaluate public investment programs in Sub-Saharan Africa

Monitoring rural household income is important for governments, donors, nongovernmental organizations, researchers, and others involved with development strategies, because increasing rural household income is a primary objective for achieving many development goals, including reducing poverty, hung...

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Main Authors: Benin, Samuel, Randriamamonjy, Josee
Format: Artículo preliminar
Language:Inglés
Published: International Food Policy Research Institute 2008
Subjects:
Online Access:https://hdl.handle.net/10568/160412
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author Benin, Samuel
Randriamamonjy, Josee
author_browse Benin, Samuel
Randriamamonjy, Josee
author_facet Benin, Samuel
Randriamamonjy, Josee
author_sort Benin, Samuel
collection Repository of Agricultural Research Outputs (CGSpace)
description Monitoring rural household income is important for governments, donors, nongovernmental organizations, researchers, and others involved with development strategies, because increasing rural household income is a primary objective for achieving many development goals, including reducing poverty, hunger, and food and nutrition insecurity. However, accurate assessment of rural household income is time consuming and costly. Using an expenditure-based income measure, data on actual household expenditures per capita obtained from various national surveys for 28 Sub-Saharan African countries, this study used proxy indicators to estimate regression models and then predict and analyze changes in household income per capita between 1985 and 2006. Over the 20-year period, the study predicted annual average real household monthly income per capita at $78 in 1993 international dollars. South Africa was ahead of the group of countries at $225, followed by Côte d’Ivoire and Lesotho at $117 and $91, respectively. Predictions for Nigeria and Zambia were the worst at $28 and $39, respectively. Looking at changes in income over time, Burkina Faso, Côte d’Ivoire, Uganda, Senegal, Mauritania, and Ghana (in declining order) experienced consistent positive growth. In contrast, Zambia, Kenya, and Lesotho showed declining trends, averaging –2.7 percent, –2.0 percent, and –1.3 percent per year, respectively, over the 20-year period. The latter results were not surprising given the low and sometimes negative growth rates in real GDP per capita and real agricultural value added per worker over the same period for those countries. The predicted trends were also consistent with observed trends in poverty and hunger, suggesting that the methodology is a useful and least-cost approach for monitoring household incomes to support evaluation of public investment programs.
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spelling CGSpace1604122025-11-06T07:25:00Z Estimating household income to monitor and evaluate public investment programs in Sub-Saharan Africa Benin, Samuel Randriamamonjy, Josee household income monitoring and evaluation public expenditure Monitoring rural household income is important for governments, donors, nongovernmental organizations, researchers, and others involved with development strategies, because increasing rural household income is a primary objective for achieving many development goals, including reducing poverty, hunger, and food and nutrition insecurity. However, accurate assessment of rural household income is time consuming and costly. Using an expenditure-based income measure, data on actual household expenditures per capita obtained from various national surveys for 28 Sub-Saharan African countries, this study used proxy indicators to estimate regression models and then predict and analyze changes in household income per capita between 1985 and 2006. Over the 20-year period, the study predicted annual average real household monthly income per capita at $78 in 1993 international dollars. South Africa was ahead of the group of countries at $225, followed by Côte d’Ivoire and Lesotho at $117 and $91, respectively. Predictions for Nigeria and Zambia were the worst at $28 and $39, respectively. Looking at changes in income over time, Burkina Faso, Côte d’Ivoire, Uganda, Senegal, Mauritania, and Ghana (in declining order) experienced consistent positive growth. In contrast, Zambia, Kenya, and Lesotho showed declining trends, averaging –2.7 percent, –2.0 percent, and –1.3 percent per year, respectively, over the 20-year period. The latter results were not surprising given the low and sometimes negative growth rates in real GDP per capita and real agricultural value added per worker over the same period for those countries. The predicted trends were also consistent with observed trends in poverty and hunger, suggesting that the methodology is a useful and least-cost approach for monitoring household incomes to support evaluation of public investment programs. 2008 2024-11-21T09:50:43Z 2024-11-21T09:50:43Z Working Paper https://hdl.handle.net/10568/160412 en Open Access application/pdf International Food Policy Research Institute Benin, Samuel; Randriamamonjy, Josee. 2008. Estimating household income to monitor and evaluate public investment programs in Sub-Saharan Africa. IFPRI Discussion Paper 771. https://hdl.handle.net/10568/160412
spellingShingle household income
monitoring and evaluation
public expenditure
Benin, Samuel
Randriamamonjy, Josee
Estimating household income to monitor and evaluate public investment programs in Sub-Saharan Africa
title Estimating household income to monitor and evaluate public investment programs in Sub-Saharan Africa
title_full Estimating household income to monitor and evaluate public investment programs in Sub-Saharan Africa
title_fullStr Estimating household income to monitor and evaluate public investment programs in Sub-Saharan Africa
title_full_unstemmed Estimating household income to monitor and evaluate public investment programs in Sub-Saharan Africa
title_short Estimating household income to monitor and evaluate public investment programs in Sub-Saharan Africa
title_sort estimating household income to monitor and evaluate public investment programs in sub saharan africa
topic household income
monitoring and evaluation
public expenditure
url https://hdl.handle.net/10568/160412
work_keys_str_mv AT beninsamuel estimatinghouseholdincometomonitorandevaluatepublicinvestmentprogramsinsubsaharanafrica
AT randriamamonjyjosee estimatinghouseholdincometomonitorandevaluatepublicinvestmentprogramsinsubsaharanafrica