Hi Folks -
How's everyone doing? Kind of a tough time these days.
To that end, at work I've been working on something to try to understand the impact of COVID-19 closures on Massachusetts' most vulnerable workers. So far we've looked at part-time vs. full-time workers (workers who've worked 48+ wks and 35+ hrs per week vs. everyone else), and gig-economy (ish) workers (who we've set to class of worker == 7, self-employed, unincorporated).
But I'm not confident we're using the best variables to understand these problems. So I'm wondering if folks on the forum have some ideas about how to use PUMS data to obtain these numbers for NAICSP job codes:
* Part-time vs. full-time employment by NAICSP
* Gig-Economy workers
* Tipped Workers
* Undocumented Workers (this has been particularly challenging)
I'm relatively fluent in the coding and aggregating, I'm just having trouble figuring out some best practices towards getting at these numbers. If anyone had any suggestions, I'd be delighted to hear from you.
In reply to Doug Hillmer: