Imputed welfare estimates in regression analysis, Vol. 1 of 1

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Imputed welfare estimates in regression analysis

Author:	Elbers, Chris; Lanjouw, Jean O.; Lanjouw, Peter;	Collection Title:	Policy, Research working paper ; no. WPS 3294
Country:	Ecuador;	Date Stored:	2004/06/15
Document Date:	2004/05/01	Document Type:	Policy Research Working Paper
Language:	English	Region:	Latin America & Caribbean
Report Number:	WPS3294	SubTopics:	Information Technology; VN-Acb Mis -- IFC-00535908; Scientific Research & Science Parks; Econometrics; Geographical Information Systems; Economic Theory & Research; Public Health Promotion; Statistical & Mathematical Sciences
Volume No:	1 of 1

Summary: 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.


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