Panel data

[Christian Bertelsen]

Hey everyone!
I have a dataset with how many days people worked from home during Corona.
The data is collected in two waves (2021 and 2022), and the individuals in the two waves aren't the same.

I want to find out how restrictions (work_closure1) in 9 European countries have affected how many days they work from home (n_work_home) after they have changed their restrictions.

My research question: "Did Covid-19 work closure restrictions have lasting effects on remote work in Europe?"

My initial thought was a DID, but I'm not sure how to do it without a control group (no data before covid outbreak or a country where covid didn't affect anything)

After I will do a check between industries instead of grouping by countries.

Any thoughts on which design and what command I will have to use?

[Carlo Lazzaro]

Christian:
welcome to this forum.
As the the individuals in the two waves aren't the same, you do not have a panel dataset but a repeated cross-sectional study.
I would go -regress- and take a look at: Matthew J. Lebo and Christopher Weber. An Effective Approach to the Repeated Cross-Sectional Design. American Journal of Political Science , January 2015, Vol. 59, No. 1 (January
2015), pp. 242-258( https://www.jstor.org/stable/24363607).

[Christian Bertelsen]

Thanks a lot Carlo - I would have a look a it