The Roots of Inequality

• Tác giả: Paolo Brunori
• Ngôn ngữ: eng
• Ký hiệu phân loại: 339.22 Distribution of aggregate personal income and wealth
• Thông tin xuất bản: World Bank, Washington, DC, 2018
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 295029
• Chủ đề: 1. EQUALITY OF OPPORTUNITY; 2. INEQUALITY; 3. LIVING CONDITIONS; 4. MACHINE LEARNING; 5. REGRESSION ANALYSIS

Tóm tắt

 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.