22 points rubatrejo 34 minutes ago 18 comments

toomuchtodo 32 minutes ago | parent

Ghost jobs! Tremendous dataset. Hospitality and education roles listed near the top are likely strong signal the wages are inadequate and a refusal to raise the wage to a market clearing price. Healthcare is self explanatory, demand is voracious due to a rapidly aging population and wages available and appropriate in many cases.

> Hospitality postings sit the longest: 43.9% have been open more than 90 days, median 65 days. Healthcare turns over fastest at 19.7%.

(kudos to unlisted for aggregating and reporting, this gives me a data point to offer to jurisdictions and regulators interested in compliance monitoring in this context)

legitster 23 minutes ago | parent

There are some browser plugins you can use for job sites like LinkedIn to filter out Ghost Jobs. It's been somewhat helpful, but honestly it feels like 90% of tech jobs right now are Ghost jobs.

It's happened so many times. Apply for a job, within an hour get an email that says I am not qualified (not true), and then a week later the same job gets posted again.

I'm normally a pretty free-market guy, but it should be illegal. It's clear-cut fraud - they are advertising something that doesn't exist, specifically to game numbers. And what's more, governments report on these numbers as if they are real job opportunities in the economy.

justinator 10 minutes ago | parent

I was under the impression a large % of jobs posted on jobs sites are done simply for compliance reasons and because HR has some "bullshit jobs" parts to it and the companies will usually simply hire from within the company itself.

reticulates 7 minutes ago | parent

Sometimes that can happen but it is not common, certainly not a large % of job posts.

mgaldys4 6 minutes ago | parent

At least in my country, a job posting that stays up forever isn't a ghost job. It's a company that can't keep people. Either the conditions are brutal or the pay is garbage.

AznHisoka 6 minutes ago | parent

How do we know if this is normal or not? You really need a historical time series to know if it has always been like this or not