Robust Inequality of Opportunity Comparisons: Theory and Application to Early Childhood Policy Evaluation
Francesco Andreoli (),
Tarjei Havnes and
Additional contact information
Arnaud Lefranc: University of Cergy-Pontoise, CNRS, THEMA, and IZA
The Review of Economics and Statistics, 2019, vol. 101, issue 2, 355-369
This paper develops a criterion to assess equalization of opportunity that is consistent with theoretical views of equality of opportunity. We characterize inequality of opportunity as a situation where some groups in society enjoy an illegitimate advantage. In this context, equalization of opportunity requires that the extent of the illegitimate advantage enjoyed by the privileged groups falls. Robustness requires that this judgment be supported by the broadest class of individual preferences. We formalize this criterion in a decision-theoretic framework and derive an empirical condition for equalization of opportunity based on observed opportunity distributions. The criterion is used to assess the effectiveness of child care at equalizing opportunity among children, using quantile treatment effects estimates of a major child care reform in Norway. Overall, we find strong evidence supporting equalization of opportunity.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5) Track citations by RSS feed
Downloads: (external link)
Access to PDF is restricted to subscribers.
Working Paper: Robust Inequality of Opportunity Comparisons: Theory and Application to Early Childhood Policy Evaluation (2019)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:tpr:restat:v:101:y:2019:i:2:p:355-369
Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535
Access Statistics for this article
The Review of Economics and Statistics is currently edited by Amitabh Chandra, Olivier Coibion, Bryan S. Graham, Shachar Kariv, Amit K. Khandelwal, Asim Ijaz Khwaja, Brigitte C. Madrian and Rohini Pande
More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by Ann Olson ().