GLS estimation and empirical bayes prediction for linear mixed models with Heteroskedasticity and sampling weights : a background study for the POVMAP project

This note adapts results by Huang and Hidiroglou (2003) on Generalized Least Squares estimation and Empirical Bayes prediction for linear mixed models with sampling weights. The objective is to incorporate these results into the poverty mapping approach put forward by Elbers et al. (2003). The estimators presented here have been implemented in version 2.5 of POVMAP, the custom-made poverty mapping software developed by the World Bank.

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Year of publication:	2014-09-01
Authors:	van der Weide, Roy
Institutions:	Economics Research, World Bank Group
Subject:	Statistical&Mathematical Sciences \| Crops and Crop Management Systems \| Poverty Monitoring&Analysis \| Science Education \| Scientific Research&Science Parks

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Extent:	application/pdf
Series:	Policy Research Working Paper Series.
Type of publication:	Book / Working Paper
Notes:	Number 7028
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010903287