Support #362

weights for longitudinal analysis

Added by Anonymous almost 8 years ago. Updated almost 8 years ago.

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Dear Alita Nandi,

I am postgraduate student aat the University of Lund. I am working on my final dissertation and I am using the UKHLS survey. I want to study the so-called Healthy Immigrant Effect which says that immigrants tend to be healthier than native-born when they arrive to the country, but they converge to the health of natives as time passes.

It is the first time that I use the UKHLS survey and I have used the material of the online course, in particular the weighting section. I must admit that everything is really well explained and do files are specially helpful. However, I still have a doubt about which weight to pick for my analysis and I was wondering if you could help me on that.

To first study the inequalitites in health status between immigrants and natives I will use the wave 1. Therefore I think tthat I have to use the weight a_indpxus_xw since I am using adult main and proxy interview data.

To study the "health assymilation effect", i.e: wether immigrants´ health converge to native levels, I plan to run a regression where the dependent variable is the difference in health between wave 4 and wave 1. I will include as explanatory variables country of origin and other control variables for wave 1. Since in this model I will also use data from wave 4 (health status in wave 4) I am guessing that if I use the cross-section weight for wave 1, I won´t be controlling for attrition. Therefore, I am really confused about what weight I should use. I would really appreciate if you could give me any advice about it.

Thanks in advance

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