Cross-sectional vs longitudinal weights
Dear Understanding society support team,
Our research team is using data from the Understanding Society Main Annual Survey (waves 7 to 11) and the COVID-19 study (waves 1 to 9). In our analysis, we want to account for weights. However, we are unsure about which weighs to use.
Our main goal is to analyze gaps in mental health ( scghq1_dv ) between a Muslim and a Non-Muslim population during COVID-19. We rely on a standard difference-in-differences design, comparing the average Muslim-Non-Muslim gaps in mental health during the pandemic (Covid Survey, waves 1 to 9) with the average pre-pandemic gaps (Main Survey, waves 7 to 11). Our treatment variable takes value 1 for Covid waves and 0 otherwise. Additionally, we run an event study design, comparing Muslim-Non-Muslim gaps in mental health in each wave (Waves 8 to 11 of the Main Survey and Covid waves) relative to wave 7 of the Main Annual Survey.
Unfortunately, the COVID-19 study does not ask about the participants' religion. To identify Muslims in the COVID-19 dataset we extract the last religion status reported on the Understanding Society Main Survey (based on the variable oprlg1 ) and link it with the Covid Survey through person identifiers.
Given our study design would you recommend we use cross-sectional or longitudinal weights?
Thanks in advance for your help!