A statistical approach to identifying poorly performing countries
This paper asks whether it is possible to identify, using purely statistical criteria on widely available quantitative data, a set of developing countries that can be classified as poor performers. We restrict attention to two performance indicators, economic growth and infant mortality, over two periods 1980-90 and 1990-2000, and use four different statistical criteria to identify poor performance. The main finding is that very few countries consistently appear as poor performers: those that perform poorly on one indicator, or in one period, typically do not perform poorly on/in the other. A similar result is obtained in the context of identifying, on statistical grounds, good performers. The research cautions against labelling countries as poor performers without careful qualification.
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Volume (Year): 42 (2006)
Issue (Month): 3 ()
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Paul Collier & Jan Willem Gunning, 1997.
"Explaining African economic performance,"
CSAE Working Paper Series
1997-02.2, Centre for the Study of African Economies, University of Oxford.
- William Easterly & Ross Levine, 1997.
"Africa's Growth Tragedy: Policies and Ethnic Divisions,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 112(4), pages 1203-1250.
- Easterly, W & Levine, R, 1996. "Africa's Growth Tragedy : Policies and Ethnic Divisions," Papers 536, Harvard - Institute for International Development.
- Dollar, David & Kraay, Aart, 2001.
"Growth is good for the poor,"
Policy Research Working Paper Series
2587, The World Bank.
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