Article ID: | iaor2013628 |
Volume: | 74 |
Issue: | 1 |
Start Page Number: | 75 |
End Page Number: | 105 |
Publication Date: | Jan 2013 |
Journal: | Theory and Decision |
Authors: | Dagsvik John |
Keywords: | statistics: empirical |
Amartya Sen has developed the so‐called capability approach to meet the criticism that income alone may be insufficient as a measure of economic inequality. This is because knowledge about people’s income does not tell us what they are able to acquire with that income. For example, people with the same income may not have the same access to health and transportation services, schools and opportunities in the labor market. Recently, there has been growing interest in empirical studies based on the capability approach. Most of these, however, are only loosely related to quantitative behavioral theory, at least in a concrete and empirically operational way. The purpose of this paper is to demonstrate that the theory of random scale (utility) models offers a powerful theoretical and empirical framework for representing and accounting for key aspects of Sen’s theory.