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Working Paper 85 - On Measuring Indebtedness of African Countries: A Stochastic Frontier Debt Production Function

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Abstract

At least since the early 1990s, the problem of Africa’s debt was a recurring theme in the development debate and many suggestions for debt relief have now been implemented. However, a thorough solution is hampered by the existence of multiple ways of scaling debt. This paper provides a framework for comprehensively measuring indebtedness and gives therefore a basis for setting objective principles for debt reduction measures. The paper uses a stochastic frontier production function approach and the technical efficiency computation procedure to develop an indebtedness index for 46 African countries. The results indicate an indebtedness index across countries ranging from a minimum of 3.6 (South-Africa) to a maximum of 92 (Zambia), with an average of 69. Countries, which have experienced extended civil wars, are generally less indebted, while countries with more corrupt governments have generally contracted more multilateral debt. The paper ends by raising a number of implications for a better approach of debt management in Africa.

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  • Guy Nkamleu, 2006. "Working Paper 85 - On Measuring Indebtedness of African Countries: A Stochastic Frontier Debt Production Function," Working Paper Series 220, African Development Bank.
  • Handle: RePEc:adb:adbwps:220
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    1. World Bank, 2003. "World Development Indicators 2003," World Bank Publications - Books, The World Bank Group, number 13920.
    2. World Bank, 2003. "African Development Indicators 2003," World Bank Publications - Books, The World Bank Group, number 13916.
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    Cited by:

    1. Abdullahi D. Ahmed, 2012. "Debt Burden, Military Spending And Growth In Sub-Saharan Africa: A Dynamic Panel Data Analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 23(5), pages 485-506, October.
    2. Zhu, Jun & Xu, Haokun & Zhang, Yue, 2022. "Local government debt and firm productivity: Evidence from China," Research in International Business and Finance, Elsevier, vol. 63(C).

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