| Re: Mothers Education on children's health [message #9210 is a reply to message #9190] |
Wed, 24 February 2016 21:18   |
Reduced-For(u)m
Messages: 292
Registered: March 2013
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Senior Member |
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Simo,
In general, the r2 in these kinds of regressions is very small. That is not, in and of itself, any cause for concern. At least not if you are just interested in the effects of particular variables on child HAZ. What is relevant is the t-stat/p-value/std-error on the coefficients of interest.
The r2 is just a bad metric of a "good model" in this instance. Sure - you could up the R2 by, say, adding dummy variables for age-in-months, but really, that will be orthogonal to everything you care about and so will not affect the estimated variability (t-stat/std-errror) of your regression coefficients.
This all assumes that you are just trying to accurately estimate conditional correlations. If you are trying to do something else, you might care about r2, but you'd have to explain what you were hoping to accomplish. If you look at the r2 in most published economics research on this (for instance) they are all very, very low, but it isn't really the thing to be worried about.
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