Upper and lower bound estimates of inequality of opportunity: a cross-national comparison for Europe

Upper and lower bound estimates of inequality of opportunity: a cross-national comparison for Europe

I provide lower and upper bound estimates of inequality of opportunity (IOp) for 32 European countries, between 2005 and 2019. Lower bound estimates use machine learning methods to address sampling variability. Upper bound estimates use longitudinal data to capture all-time invariant factors. Across...

書誌詳細
第一著者:	Carranza, R
フォーマット:	Journal article
言語:	English
出版事項:	Wiley 2022

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