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An Unbalance Adjustment Method for Development Indicators

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Title: An Unbalance Adjustment Method for Development Indicators
Language: English
Authors: Tarabusi, Enrico Casadio, Guarini, Giulio
Source: Social Indicators Research. May 2013 112(1):19-45.
Availability: Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Peer Reviewed: Y
Page Count: 27
Publication Date: 2013
Document Type: Journal Articles
Reports - Evaluative
Descriptors: Foreign Countries, Developing Nations, Economic Development, Social Indicators, Measurement, Sociometric Techniques, Economic Factors, Research Methodology, Statistical Analysis
Geographic Terms: Africa
DOI: 10.1007/s11205-012-0070-4
ISSN: 0303-8300
Abstract: This paper analyzes some aggregation aspects of the procedure for constructing a composite index on a multidimensional socio-economic phenomenon such as development, the main focus being on the unbalance among individual dimensions. First a theoretical framework is set up for the unbalance adjustment of the index. Then an aggregation function is proposed that takes unbalance among development dimensions into account; a separate index is also introduced that measures the unbalance itself. Finally the dataset of the Index of African Governance for the year 2007 is used to test this method and compare it against the weighted arithmetic mean of variables with relation to the measured values of unbalance, yielding significantly different results for ratings and rankings, which in addition show negative correlations with the unbalance adjustment values. The changes ensuing from the adjustment are commented for some countries.
Abstractor: As Provided
Number of References: 30
Entry Date: 2013
Accession Number: EJ1000624
Database: ERIC
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  Data: An Unbalance Adjustment Method for Development Indicators
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  Data: <searchLink fieldCode="AR" term="%22Tarabusi%2C+Enrico+Casadio%22">Tarabusi, Enrico Casadio</searchLink><br /><searchLink fieldCode="AR" term="%22Guarini%2C+Giulio%22">Guarini, Giulio</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Social+Indicators+Research%22"><i>Social Indicators Research</i></searchLink>. May 2013 112(1):19-45.
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  Data: Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
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  Data: Journal Articles<br />Reports - Evaluative
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  Data: <searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Developing+Nations%22">Developing Nations</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+Development%22">Economic Development</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Indicators%22">Social Indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement%22">Measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Sociometric+Techniques%22">Sociometric Techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+Factors%22">Economic Factors</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Methodology%22">Research Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Africa%22">Africa</searchLink>
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  Data: 10.1007/s11205-012-0070-4
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  Data: This paper analyzes some aggregation aspects of the procedure for constructing a composite index on a multidimensional socio-economic phenomenon such as development, the main focus being on the unbalance among individual dimensions. First a theoretical framework is set up for the unbalance adjustment of the index. Then an aggregation function is proposed that takes unbalance among development dimensions into account; a separate index is also introduced that measures the unbalance itself. Finally the dataset of the Index of African Governance for the year 2007 is used to test this method and compare it against the weighted arithmetic mean of variables with relation to the measured values of unbalance, yielding significantly different results for ratings and rankings, which in addition show negative correlations with the unbalance adjustment values. The changes ensuing from the adjustment are commented for some countries.
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  Data: As Provided
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  Data: 30
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  Data: 2013
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        PageCount: 27
        StartPage: 19
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      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Developing Nations
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      – SubjectFull: Economic Development
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      – SubjectFull: Social Indicators
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      – SubjectFull: Measurement
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      – SubjectFull: Sociometric Techniques
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      – SubjectFull: Economic Factors
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      – SubjectFull: Research Methodology
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      – SubjectFull: Statistical Analysis
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      – SubjectFull: Africa
        Type: general
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      – TitleFull: An Unbalance Adjustment Method for Development Indicators
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