Measuring income inequality in social networks

Datos Bibliográficos

ID12836634
AutoresOded Stark (0000-0001-5972-9726, University of Bonn, autor de correspondencia), Jakub Bielawski (0000-0001-6816-4501, Krakow University of Economics), Fryderyk Falniowski (0000-0002-1994-9019, Krakow University of Economics)
Año2023
Volumen22
Número2
Páginas333-356
Fecha de publicación2023-10-24
Open AccessSí
TipoARTICLE
RevistaThe Journal of Economic Inequality (JOURNAL)
Identificadores de la revistaISSN: 1569-1721 • E-ISSN: 1573-8701
EditorialSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s10888-023-09589-3
OpenAlexW4387904479
IdiomaEN
Citas recibidas1
Referencias citadas23

We present a new index for measuring income inequality in networks. The index is based on income comparisons made by the members of a network who are linked with each other by direct social connections. To model the comparisons, we compose a measure of relative deprivation for networks. We base our new index on this measure. The index takes the form of a ratio: the network’s aggregate level of relative deprivation divided by the aggregate level of the relative deprivation of a hypothetical network in which one member of the network receives all the income, and it is with this member that the other members of the network compare their incomes. We discuss the merits of this representation. We inquire how changes in the composition of a network affect the index. In addition, we show how the index accommodates specific network characteristics

Affect (linguistics · Aggregate (composite · Aggregate income · Data mining · Demographic economics · Econometrics · Economic inequality · Economics · Income distribution · Index (typography · Inequality · Measure (data warehouse · Relative deprivation · Representation (politics · Social network (sociolinguistics · Complex Network Analysis Techniques · Computer Science · Game Theory and Applications · Income, Poverty, and Inequality · Mathematics · Psychology

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