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This it not the TYPE of job, but by INDUSTRY it appears from looking at the LED (Longitudinal Employer-Household Dynamics) description. The difference is incre
by jnordwick 11y ago
This it not the TYPE of job, but by INDUSTRY it appears from looking at the LED (Longitudinal Employer-Household Dynamics) description.
The difference is incredibly important. Have 500 workers including janitorial, secretarial, programmers, and executives at a high-tech company and they are all reported as high-tech workers regardless if the highest tech they touch is a floor waxer. Or have some IT people at a hotel and they are classified as hospitality.
I never like these industry classifications because they aren't actually very helpful in looking at employent statistics except in aggregate.
- tuckermi 11y agoYour observation is spot-on and I agree that it's important not to misread this data set, but I think it still has some valuable uses. While I would rather see more detail, I am interested to see how different industries impact overall employment in the economy even if I can't bucket all the individual jobs under one heading. With that said, given that a lot of companies contract out for non-core work (e.g. janitorial, kitchen/food-preparation in cafeterias, etc), I wonder how that is handled in this dataset? In particular, what location would be associated with a given contract worker. Would it be their employer's address or the address where they provide services?
- jnordwick 11y agoEmployer. These are all done through payroll numbers and some self-reports to fill in the gaps maybe. I'm guessing, similar to the monthly ESR establishment survey.