Reference : Global inequalities 1980-2050: a microdata oriented simulation – Worldsim
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Social & behavioral sciences, psychology : Sociology & social sciences
Social & behavioral sciences, psychology : Human geography & demography
Engineering, computing & technology : Computer science
Business & economic sciences : Microeconomics
Computational Sciences
http://hdl.handle.net/10993/36190
Global inequalities 1980-2050: a microdata oriented simulation – Worldsim
English
Chauvel, Louis mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
Bar-Haim, Eyal mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
Hartung, Anne mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
Leist, Anja mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
13-Jul-2018
Yes
4th Annual International Conference on Computational Social Science (IC2S2) 2018
13-15 July 2018
Kellogg School of Management, Northwestern University
Evanston, IL
USA
[en] computational social science ; global inequality ; simulation ; Worldsim ; big data ; migration ; socio-economic inequalities ; microdata ; poverty
[en] Former global inequality models lack realistic features of the population (age, gender,
education, behavior). Worldsim develops a panel sample based simulation of the world
population until 2050, relying on UN, Cepii, etc, big data aggregated forecasts, that we
individually disaggregate. The simulation confirms the decline of the world's Gini index,
but underlines several paradoxes in the socioecodemography of the world, with increasing
gaps between resources and needs. Compared to more standard socioeconomic
simulations of inequalities, we provide more substantial characterization of the population,
and compared to other global simulations, we capture the dimensions of social
divergences between social groups and geographic regions.
Integrative Research Unit: Social and Individual Development (INSIDE) > PEARL Institute for Research on Socio-Economic Inequality (IRSEI)
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/36190

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