Dear all,
I am dealing with data from EU-SILC, a European survey designed as a rotational panel. I need to use longitudinal weights to account for attrition and replacement each year.
Eurostat already provides weights for each unit of observation (in this case, households) but they are obviously time-varying, since they are different for each year.
I tried to perform a panel regression through xtlogit (my dependent variable is a binary one and represents the event of a birth within a certain household), but this function does not allow me
to use time-varying weights.
I also looked for some help online and noticed that this is actually an issue. Some suggest using gllamm, but when I tried to use it, I was not able to do my analysis. My guess is that gllamm only would allow me to introduce two kinds of weight, one for the household level and one for the time one (but not different for each year). Is that correct?
Is there also someone else who went through the same problem and maybe was more successful than me in addressing it ?
Any kind of help would really be appreciated!
Thank you very much,
Lydia
I am dealing with data from EU-SILC, a European survey designed as a rotational panel. I need to use longitudinal weights to account for attrition and replacement each year.
Eurostat already provides weights for each unit of observation (in this case, households) but they are obviously time-varying, since they are different for each year.
I tried to perform a panel regression through xtlogit (my dependent variable is a binary one and represents the event of a birth within a certain household), but this function does not allow me
to use time-varying weights.
I also looked for some help online and noticed that this is actually an issue. Some suggest using gllamm, but when I tried to use it, I was not able to do my analysis. My guess is that gllamm only would allow me to introduce two kinds of weight, one for the household level and one for the time one (but not different for each year). Is that correct?
Is there also someone else who went through the same problem and maybe was more successful than me in addressing it ?
Any kind of help would really be appreciated!
Thank you very much,
Lydia
