Multidimensional poverty with missing attributes

C-Tier
Journal: Economics Letters
Year: 2015
Volume: 130
Issue: C
Pages: 51-55

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

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

Abstract

We show how to minimize the probability of misclassifying individuals as being poor or not poor when data on some of their relevant attributes are missing, but an estimate of the population distribution of attributes is available.

Technical Details

RePEc Handle
repec:eee:ecolet:v:130:y:2015:i:c:p:51-55
Journal Field
General
Author Count
2
Added to Database
2026-01-24