| 000 -LEADER |
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| fixed length control field |
01245pab a2200169 454500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
180718b2006 xxu||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Anderson, Edward |
| 245 ## - TITLE STATEMENT |
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| Title |
A statistical approach to identifying poorly performing countries |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Date of publication, distribution, etc. |
2006 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
p.469-89. |
| 362 ## - DATES OF PUBLICATION AND/OR SEQUENTIAL DESIGNATION |
|---|
| Dates of publication and/or sequential designation |
Apr |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
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. - Reproduced. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Poverty |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Morrissey, Oliver |
| 773 ## - HOST ITEM ENTRY |
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| Main entry heading |
Journal of Development Studies |
| 909 ## - |
|---|
| -- |
70384 |
