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  <titleInfo>
    <title>A statistical approach to identifying poorly performing countries</title>
  </titleInfo>
  <name type="personal">
    <namePart>Anderson, Edward</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Morrissey, Oliver</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">xu|</placeTerm>
    </place>
    <dateIssued>2006</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">ng </languageTerm>
  </language>
  <physicalDescription>
    <extent>p.469-89.</extent>
  </physicalDescription>
  <abstract>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.</abstract>
  <subject>
    <topic>Poverty</topic>
  </subject>
  <relatedItem type="host">
    <name>
      <namePart>Journal of Development Studies</namePart>
    </name>
  </relatedItem>
  <recordInfo>
    <recordCreationDate encoding="marc">180718</recordCreationDate>
  </recordInfo>
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