Pooling data in poverty mapping

C-Tier
Journal: Economics Letters
Year: 2010
Volume: 108
Issue: 1
Pages: 77-80

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper proposes a method to decide whether data from different strata should be pooled when applying the widely used poverty mapping method developed in Elbers et al. (2003). The method uses the ultimate estimates of poverty rate as criterion.

Technical Details

RePEc Handle
repec:eee:ecolet:v:108:y:2010:i:1:p:77-80
Journal Field
General
Author Count
1
Added to Database
2026-01-28