The roots of inequality : estimating inequality of opportunity from regression trees (English)

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...

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Author

Brunori,Paolo;

Hufe,Paul;

Mahler,Daniel Gerszon;
Document Date
2018/02/20
Document Type
Policy Research Working Paper
Report Number
WPS8349
Volume No
1
Total Volume(s)
1
Country
World,
Region
Other,
Disclosure Date
2018/02/20
Disclosure Status
Disclosed
Doc Name
The roots of inequality : estimating inequality of opportunity from regression trees
Keywords
inequality of opportunity

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Citation

Brunori,Paolo; Hufe,Paul; Mahler,Daniel Gerszon.

The roots of inequality : estimating inequality of opportunity from regression trees (English). Policy Research working paper|no. WPS 8349 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/502141519144475516

The roots of inequality : estimating inequality of opportunity from regression trees (English)

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