Imputed Welfare Estimates in Regression Analysis / Chris Elbers, Jean Olson Lanjouw, Peter Lanjouw.

Format:

Book

Author/Creator:

Elbers, Chris, author.

Lanjouw, Jean Olson, author.

Lanjouw, Peter, author.

Series:

Policy research working papers ; 3294.

Policy research working papers ; 3294

Language:

English

Subjects (All):

Poverty.

Physical Description:

1 online resource (21 pages).

Place of Publication:

Washington, DC : World Bank, 2004.

Summary:

Elbers, Lanjouw, and Lanjouw 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. This paper--a product of the Poverty Team, Development Research Group--is part of a larger effort in the group to develop methods of welfare estimation at the micro level.

Notes:

Description based on publisher supplied metadata and other sources.

Includes bibliographical references and index.

Publisher Number:

10.1596/1813-9450-3294