Dear all,
I am using Single-group ITSA (Linden, 2015), for measuring the population-level impact of a health intervention on child mortality. However, i am confused with the followings:
itsa depvar [indepvars] [if] [in] [weight], trperiod(numlist) [single treatid(#) contid(numlist) prais lag(#) figure posttrend replace prefix(string) model options]
1) In the above command specification, can I use confounding variables (GDP per capita, health expenditure, literacy rate, population) in place of [indepvars] to adjust the model for socioeconomic and demographic factors?
2) Since my dependent variable is a count variable (child mortality) and independent/ confounders which i want to adjust are continuous variables, in this case, do I need to check the stationarity of the variables and take the difference value if found non-stationary?
3) The ITSA package provides two models 'newey' and 'prais', which one should i prefer ideally (all data are annual, hence free from seasonality problem)?
I would be really grateful if I can get suggestions on the above issues.
Thanks
--
Abinash S.
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