Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/203214 
Erscheinungsjahr: 
2018
Schriftenreihe/Nr.: 
IES Working Paper No. 35/2018
Verlag: 
Charles University in Prague, Institute of Economic Studies (IES), Prague
Zusammenfassung: 
Using a global sample, this paper investigates the determinants of wealth inequality capturing various economic, financial, political, institutional, and geographical indicators. Using instrumental variable Bayesian model averaging, it reveals that only a handful of indicators robustly matter and finance plays a key role. It reports that while financial depth increases wealth inequality, efficiency and access to finance reduce inequality. In addition, redistribution and education are associated with lower inequality whereas wars and openness to international trade contribute to greater wealth inequality.
Schlagwörter: 
Wealth inequality
finance
Bayesian model averaging
JEL: 
D31
E21
Dokumentart: 
Working Paper

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