Social Welfare Analysis of Income Distributions: Ranking Income Distributions with Crossing Generalised Lorenz Curves
Lorenzo Bellù, Paolo Liberati
Abstract
Open-access reader
Lorenzo Bellù, Paolo Liberati
Abstract
Open-access reader
This paper illustrates how Crossing Generalised Lorenz (GL) curves can be used to identify the best income distribution on social welfare grounds within a set of alternative income distributions generated by different policy options. It starts by illustrating two alternative income distributions resulting from policy changes that lead to income increases for some individuals and decreases for others. GL curves are then calculated for the alternative distributions to rank them on welfare grounds on the basis of Shorrocks’ Theorem. After observing that Shorrocks’ Theorem is not applicable, because GL curves cross once, necessary additional conditions, such as restrictions on the features of the Social Welfare Function (SWF) and the shape of income distributions, are set and discussed. Subsequently, a step-by-step procedure to use GL curves to infer welfare judgments when GL cross once, is provided and illustrated with some simple numerical examples.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper illustrates how Crossing Generalised Lorenz (GL) curves can be used to identify the best income distribution on social welfare grounds within a set of alternative income distributions generated by different policy options. It starts by illustrating two alternative income distributions resulting from policy changes that lead to income increases for some individuals and decreases for others. GL curves are then calculated for the alternative distributions to rank them on welfare grounds on the basis of Shorrocks’ Theorem. After observing that Shorrocks’ Theorem is not applicable, because GL curves cross once, necessary additional conditions, such as restrictions on the features of the Social Welfare Function (SWF) and the shape of income distributions, are set and discussed. Subsequently, a step-by-step procedure to use GL curves to infer welfare judgments when GL cross once, is provided and illustrated with some simple numerical examples.
Key concepts: Lorenz curve, Ranking (information retrieval), Welfare, Dominance (genetics), Income distribution, Social Welfare, Distribution (mathematics), Set (abstract data type)