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The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees / Brunori, Paolo.
World Bank Open Knowledge Repository (formerly "World Bank E-Library Publications") Available online
View online- Format:
- Book
- Government document
- Author/Creator:
- Brunori, Paolo.
- Series:
- Policy research working papers.
- World Bank e-Library.
- Language:
- English
- Subjects (All):
- Equality.
- Living Conditions.
- Machine Learning.
- Opportunity.
- Poverty Assessment.
- Poverty Reduction.
- Random Forests.
- Local Subjects:
- Equality.
- Living Conditions.
- Machine Learning.
- Opportunity.
- Poverty Assessment.
- Poverty Reduction.
- Random Forests.
- Physical Description:
- 1 online resource (35 pages)
- Other Title:
- Roots of Inequality
- Place of Publication:
- Washington, D.C. : The World Bank, 2018.
- System Details:
- data file
- Summary:
- 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 minimize the risk of arbitrary and ad hoc model selection. Second, they provide a standardized way to trade off upward and downward biases in inequality of opportunity estimations. Finally, regression trees can be graphically represented; their structure is immediate to read and easy to understand. This will make the measurement of inequality of opportunity more easily comprehensible to a large audience. These advantages are illustrated by an empirical application based on the 2011 wave of the European Union Statistics on Income and Living Conditions.
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