The effect of endogeneity and measurement error bias on models of the risk of child stunting
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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 59 (2002)
Issue (Month): 1 ()
|Contact details of provider:|| Web page: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/|
When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:59:y:2002:i:1:p:179-185. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.