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      <maintitle inherited="0" form="plain">The Neglected Dimension of Well-Being: Analyzing the&#13;
Development of “Conversion Effciency" in Great Britain</maintitle>
      <maintitle inherited="1" form="plain">Volume 4</maintitle>
      <maintitle inherited="2" form="plain">Jena Economic Research Papers</maintitle>
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      <keyword inherited="0" form="plain">capability approach</keyword>
      <keyword inherited="0" form="plain">conversion eﬃciency</keyword>
      <keyword inherited="0" form="plain">eﬃciency analysis</keyword>
      <keyword inherited="0" form="plain">intertemporal development</keyword>
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      <abstract inherited="0" form="plain">In Amartya Sen’s capability approach, policy makers can focus on diﬀerent levels to inﬂuence the well-being of a society. We argue that improving capability to function as well as absolute levels of functioning achievement should be complemented by attention given to improving individuals’ “conversion eﬃciency”, i.e. the eﬃciency with which individual resources are converted into well-being. In order to examine eﬀects of policies on conversion eﬃciency and to better understand the trajectories of human well-being over time, it is necessary to measure the development of conversion eﬃciency. We suggest an intertemporal index of conversion eﬃciency estimated via a nonparametric order-m approach borrowed from the production eﬃciency literature to analyze this development of our welfare measure. We exemplify this approach using micro level data from the British Household Panel Survey (BHPS), tracking conversion eﬃciency for a set of basic functionings in Great Britain from 1991 to 2006. We ﬁnd that under 30% of the British populace were eﬃcient in their conversion of resources into functionings during the sample horizon. Moreover, age, education and self-employment increase an individual’s conversion eﬃciency, while living in London, being disabled and being separated, divorced or widowed all decrease conversion eﬃciency. Being married also decreases the conversion eﬃciency and we ﬁnd few evidence of gender disparities in conversion eﬃciency.</abstract>
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