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UN INDICADOR SINTéTICO DEA PARA LA MEDICIóN DE BIENESTAR DESDE UNA PERSPECTIVA DE GéNERO

Keywords: Composite Indicators , Envelopment Data Analysis , Linear Programming , Well-being , Gender.

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Abstract:

Composite indicators capable of summarizing a large and complex information such as the one in the well-being field, has become a tool with a great potential for the evaluation and management of public policies. Given the limitations in the construction of well-being indicators which include a gender perspective, this paper proposes the use of a new methodology for constructing a measurement. We propose new linear programming models to improve the traditional DEA models.For the practical implementation of this proposal we take the countries of the European Union as an example

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