Hello
I am using the South African National Income Dynamics Survey (NIDS) panelset (waves 1 to 5).
I have a binary variable 'access' which = 1 if the household has access to piped water and 0 otherwise. I am assessing whether access to piped water will affect education outcomes of school-going children who belong to the African subpopulation by exploiting the panel nature of the dataset and using a fixed effect regression. From what i understand, the fixed effect looks at the variation within individuals to account for any time-invariant factors (such as ability, culture etc.).
I get a statistically significant coefficient in the right direction (ie positive - saying that access to piped water increases education years) - however, when i include age and age2, the effect is reversed and it is no longer significant. The age variable, however, is very significant and accounts for a one-for-one effect on schooling. My thoughts are that age and schooling are too correlated and i would thus like to omit it. I am concerned as to how i could reason this. Could anyone assist me in this?
Regards
Sophie Gebers
Related Posts with Omission of age in fixed effect regression
Industry effect and year effect together in fixed effect modelHi, I've to add industry effect and year effect in fixed effect model where my panels are based on …
4:1 matching for case control studies.Which code would work to generate Range match in AGE + Exact match in some cateogrical variables e.g…
Query on storing strings using st_sstore()Colleagues: My objective is to store a string-valued variable in Stata using some Mata code. One of …
Graph with suppressed yaxis, but with a ytitleHi everyone, I've searched through the forum for an answer to this specific question and couldn't f…
bar with many zeros?Dear All, I have the following data. Code: * Example generated by -dataex-. To install: ssc instal…
Subscribe to:
Post Comments (Atom)
0 Response to Omission of age in fixed effect regression
Post a Comment