Imputed Welfare Estimates in Regression Analysis

• Tác giả: Chris Elbers
• Ngôn ngữ: eng
• Ký hiệu phân loại: 330.15 Schools of economic thought
• Thông tin xuất bản: World Bank, Washington, D.C., 2013
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 327179
• Chủ đề: 1. AGGREGATE GROWTH MODELS; 2. IMPUTED COSTS; 3. POVERTY MAPS; 4. REGRESSION ANALYSIS; 5. WELFARE INDICATORS

Tóm tắt

The authors discuss the use of imputed data in regression analysis, in particular the use of highly disaggregated welfare indicators (from so-called "poverty maps"). They show that such indicators can be used both as explanatory variables on the right-hand side and as the phenomenon to explain on the left-hand side. The authors try out practical ways of adjusting standard errors of the regression coefficients to reflect the error introduced by using imputed, rather than actual, welfare indicators. These are illustrated by regression experiments based on data from Ecuador. For regressions with imputed variables on the left-hand side, the authors argue that essentially the same aggregate relationships would be found with either actual or imputed variables. They address the methodological question of how to interpret aggregate relationships found in such regressions.