Reference : Global inequalities 1980-2050: a microdata oriented simulation – Worldsim

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Social & behavioral sciences, psychology : Sociology & social sciences Social & behavioral sciences, psychology : Human geography & demography Engineering, computing & technology : Computer science Business & economic sciences : Microeconomics
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/36190

Title :	Global inequalities 1980-2050: a microdata oriented simulation – Worldsim
Language :	English
Author, co-author :	Chauvel, Louis [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
	Bar-Haim, Eyal [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
	Hartung, Anne [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
	Leist, Anja [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
Publication date :	13-Jul-2018
Peer reviewed :	Yes
Event name :	4th Annual International Conference on Computational Social Science (IC2S2) 2018
Event date :	13-15 July 2018
Event organizer :	Kellogg School of Management, Northwestern University
Event place (city) :	Evanston, IL
Event country :	USA
Keywords :	[en] computational social science ; global inequality ; simulation ; Worldsim ; big data ; migration ; socio-economic inequalities ; microdata ; poverty
Abstract :	[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.
Research centres :	Integrative Research Unit: Social and Individual Development (INSIDE) > PEARL Institute for Research on Socio-Economic Inequality (IRSEI)
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	R-STR-3064 > PEARL-Inst Socio-Economic Inequality > 01/01/2014 - 19/01/2048 > CHAUVEL Louis
Permalink :	http://hdl.handle.net/10993/36190

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