Arbeitspapier

Lower Bounds and the Linearity Assumption in Parametric Estimations of Inequality of Opportunity

The consistent underestimation of inequality of opportunity has led some scholars to call into question the usefulness of such estimates. In this paper we argue that neglecting heterogeneity in the influence of circumstances across types as well as neglecting heterogeneity in type-specific effort distributions are two important sources of the downward bias in inequality of opportunity measures. Compared to the standard parametric approach of ex ante measurement of inequality of opportunity, we calculate a 50% upwards correction when accounting for both sources of heterogeneity. Therefore, taking heterogeneity across types seriously is an important step towards strengthening the policy relevance of this concept.

Language
Englisch

Bibliographic citation
Series: IZA Discussion Papers ; No. 9605

Classification
Wirtschaft
Equity, Justice, Inequality, and Other Normative Criteria and Measurement
Subject
equality of opportunity
type heterogeneity
parametric estimation

Event
Geistige Schöpfung
(who)
Hufe, Paul
Peichl, Andreas
Event
Veröffentlichung
(who)
Institute for the Study of Labor (IZA)
(where)
Bonn
(when)
2015

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Hufe, Paul
  • Peichl, Andreas
  • Institute for the Study of Labor (IZA)

Time of origin

  • 2015

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