We propose a set of new methods to estimate inequality of opportunity based on conditional inference regression trees. In particular, we illustrate how these methods represent a substantial improvement over existing empirical approaches to measure in equality of opportunity. First, they minimize...

In this paper we propose the use of machine learning methods to estimate inequality of opportunity. We illustrate how our proposed methods—conditional inference regression trees and forests—represent a substantial improvement over existing estimation approaches. First, they reduce the risk...

Nicht erst seit der vergangenen Bundestagswahl gibt es in Deutschland eine öffentliche Diskussion, wie es hierzulande um die soziale Gerechtigkeit bestellt ist. In der Debatte wird hierbei oft auf die Entwicklung der Einkommensungleichheit rekurriert. Um die Gerechtigkeitsfrage sinnvoll zu...

This paper proposes a set of new methods to estimate inequality of opportunity based on conditional inference regression trees. It illustrates how these methods represent a substantial improvement over existing empirical approaches to measure inequality of opportunity. First, the new methods...

Nicht erst seit der vergangenen Bundestagswahl gibt es in Deutschland eine öffentliche Diskussion, wie es hierzulande um die soziale Gerechtigkeit bestellt ist. Ist es in der Tat »Zeit für mehr Gerechtigkeit«?1 In der breiten Debatte wird hierbei oft auf die Entwicklung der...

We propose a set of new methods to estimate inequality of opportunity based on conditional inference regression trees. In particular, we illustrate how these methods represent a substantial improvement over existing empirical approaches to measure in equality of opportunity. First, they minimize...

In this paper we propose the use of machine learning methods to estimate inequality of opportunity. We illustrate how our proposed methods—conditional inference regression trees and forests—represent a substantial improvement over existing estimation approaches. First, they reduce the risk...

In this paper we propose the use of machine learning methods to estimate inequality of opportunity. We illustrate how our proposed methods - conditional inference regression trees and forests - represent a substantial improvement over existing estimation approaches. First, they reduce the risk...

This paper proposes a set of new methods to estimate inequality of opportunity based on conditional inference regression trees. It illustrates how these methods represent a substantial improvement over existing empirical approaches to measure inequality of opportunity. First, the new methods...