Estimación de la pobreza en las comunidades autónomas españolas, mediante la distancia DP2 de Pena /Poverty Estimate in the Spanish Autonomous Regions, using the P2-Distance Indicator
ZARZOSA ESPINA, PILAR () (Universidad de Valladolid)
Abstract
Este trabajo se enmarca en las investigaciones que analizan la pobreza desde una perspectiva multidimensional e intentan aproximarse a su medición incorporando aspectos no exclusivamente económicos. El objetivo es llevar a cabo una aplicación para las comunidades autónomas españolas. Para ello, se elabora un vector de variables que contienen información sobre ingresos, salud, educación, empleo, vivienda, etc. Posteriormente se obtiene un indicador sintético de pobreza, o indicador de privación, mediante la metodología estadística basada en la distancia de Pena (DP2) Finalmente, se analiza la situación global, la posición de las distintas comunidades autónomas, y la importancia de cada variable en el indicador sintético de pobreza. This work is framed in the investigations that analyze the poverty from a multidimensional perspective and try to come near to their measurement by incorporating not only economic aspects. The aim of the paper is to carry out an application for the Spanish autonomous regions. In order to do that, a vector of variables containing information on income, health, education, employment, housing, etc., is elaborated. Later, a synthetic indicator of poverty, also named indicator of privation, is obtained by means of the statistical methodology based on P2-Distance (DP2). Finally, the global situation, the position of the different autonomous regions, and the importance of each variable in the synthetic indicator of poverty, are analyzed
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Volume (Year): 27 (2009) Issue (Month): (Agosto) Pages: 397-416 Download reference. The following formats are available: HTML
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Handle: RePEc:lrk:eeaart:27_2_5
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Find related papers by JEL classification: I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
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