The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees

The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees

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 inequ...

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Main Authors: Brunori, Paolo, Hufe, Paul, Mahler, Daniel Gerszon
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2018
Subjects:
INEQUALITY
REGRESSION ANALYSIS
EQUALITY OF OPPORTUNITY
MACHINE LEARNING
LIVING CONDITIONS
POVERTY MEASUREMENT
Online Access:http://documents.worldbank.org/curated/en/502141519144475516/The-roots-of-inequality-estimating-inequality-of-opportunity-from-regression-trees
http://hdl.handle.net/10986/29410
id okr-10986-29410
recordtype oai_dc
spelling okr-10986-294102021-06-08T14:42:48Z The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees Brunori, Paolo Hufe, Paul Mahler, Daniel Gerszon INEQUALITY REGRESSION ANALYSIS EQUALITY OF OPPORTUNITY MACHINE LEARNING LIVING CONDITIONS POVERTY MEASUREMENT 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. 2018-02-28T22:56:38Z 2018-02-28T22:56:38Z 2018-02 Working Paper http://documents.worldbank.org/curated/en/502141519144475516/The-roots-of-inequality-estimating-inequality-of-opportunity-from-regression-trees http://hdl.handle.net/10986/29410 English Policy Research Working Paper;No. 8349 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic INEQUALITY
REGRESSION ANALYSIS
EQUALITY OF OPPORTUNITY
MACHINE LEARNING
LIVING CONDITIONS
POVERTY MEASUREMENT
spellingShingle INEQUALITY
REGRESSION ANALYSIS
EQUALITY OF OPPORTUNITY
MACHINE LEARNING
LIVING CONDITIONS
POVERTY MEASUREMENT
Brunori, Paolo
Hufe, Paul
Mahler, Daniel Gerszon
The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees
relation Policy Research Working Paper;No. 8349
description 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.
format Working Paper
author Brunori, Paolo
Hufe, Paul
Mahler, Daniel Gerszon
author_facet Brunori, Paolo
Hufe, Paul
Mahler, Daniel Gerszon
author_sort Brunori, Paolo
title The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees
title_short The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees
title_full The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees
title_fullStr The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees
title_full_unstemmed The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees
title_sort roots of inequality : estimating inequality of opportunity from regression trees
publisher World Bank, Washington, DC
publishDate 2018
url http://documents.worldbank.org/curated/en/502141519144475516/The-roots-of-inequality-estimating-inequality-of-opportunity-from-regression-trees
http://hdl.handle.net/10986/29410
_version_ 1764469277953359872

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