I’m researching changes in employment and wage across race from Jan 2019 - Nov 2020 using CPS Basic Monthly (for employment) and Outgoing Rotation (for wage). It’s my understanding that I need to use (WTFINL/# of samples) for analysis of employment and (EARNWT/# of samples) for analysis involving wages. However, I have linked respondents across months using CPSIDP creating a panel dataset. Should I use weights other than WTFINL and EARNWT since I have created a panel dataset across many months? If so, how should I do this in R?
Relating to this previous question, thus far, I have found trouble implementing the EARNWT and WTFINL in R. I used the svydesign function and specified the necessary weight, but I cannot figure out what the parameters – cluster, strata, and nesting – are in the context of my data. I have reviewed this description so I’m aware they appear in my data, but I’ve found trouble identifying them. Are there better ways to implement weights in R for both descriptive statistics and regression analyses?