Title of article :
The effect of endogeneity and measurement error bias on models of the risk of child stunting Original Research Article
Author/Authors :
John Gibson، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2002
Abstract :
The impact of endogeneity and measurement error on models that estimate the risk of child stunting is demonstrated. Stunting occurs when poor living environments cause short physical stature and is a major health problem in developing countries. The literature modelling the effect of various policies on the risk of stunting suffers from uncertainty about the strength of income versus maternal education effects. Results are based on a household survey from Papua New Guinea (PNG), where repeated within-year observations on households allow calculation of each variable’s reliability ratio. Both measurement error and endogeneity bias are shown to affect conclusions about whether raising incomes or maternal education is the best way to reduce the risk of stunting.
Keywords :
Endogeneity , Errors-in-variables , Stunting
Journal title :
Mathematics and Computers in Simulation
Journal title :
Mathematics and Computers in Simulation