Not Canadian or EU or South America or SouthEast Asia etc etc jobs.
Is it too early to link that bad economic performance with the catastrophic management style of their current administration?
71–80 of 366 posts
Not Canadian or EU or South America or SouthEast Asia etc etc jobs.
Is it too early to link that bad economic performance with the catastrophic management style of their current administration?
Earlier quoted context omitted.
> Even the good old GDP per capita covers your case. Absolutely not. If corporate revenue increases, but wages stay the same, GDP per capita goes up, yet the workers aren't any better off. All that extra money is being absorbed by the ones at the top. Median disposable household income is probably the best measure.
> Median disposable household income is probably the best measure If I used to make $78k as a full time IT employee, but now have to work two jobs to make $78k, I still have same household income but I’m considerably worse than before. A combination of hours worked, wages earned and household debt together would paint a much more accurate picture.
The ADP payroll report is noise . It is based on the payroll data from ADP only . The assumption of this report is that companies that use ADP to process their payroll are completely representative of the entire economy and that there is no regional, sector, or company stage bias to their customers. A firm with ADP laying employees off and 3 new firms with the same number of employees being founded and using a differ…
Earlier quoted context omitted.
> Even the good old GDP per capita covers your case. Absolutely not. If corporate revenue increases, but wages stay the same, GDP per capita goes up, yet the workers aren't any better off. All that extra money is being absorbed by the ones at the top. Median disposable household income is probably the best measure.
> Median disposable household income is probably the best measure If I used to make $78k as a full time IT employee, but now have to work two jobs to make $78k, I still have same household income but I’m considerably worse than before. A combination of hours worked, wages earned and household debt together would paint a much more accurate picture.
It's less common to report, but in the aftermath of the financial crisis I remember hearing more about it. You can construct a chart in FRED that covers it:
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We really need better ways of measuring economic health. I could lose my six-figure job, turn around, and get hired on as a server at Applebee's for minimum wage, and the "unemployment" rate would stay the same. Not to mention that it doesn't include those not actively looking for work. Either way, "full employment" doesn't mean much unless you take into account whether people are actually able to live a stable lifes…
> and the "unemployment" rate would stay the same Of course it would, the percentage of people unemployed would be the same. > six-figure job, turn around, and get hired on as a server at Applebee's for minimum wage Average wages section of the jobs report would reflect this change. > doesn't include those not actively looking for work Participation rate section of the jobs report. > Either way ... Savings rate, hour…
Not if someone else at the top got paid more.
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ADP say that they handle payroll for one in six of all companies in America. That is both a large sample size, and probably broadly representative of the economy. There will of course be some business segments that are over or underrepresented but that is different than disregarding the entire report as noise.
ADP is predominant in large companies and has little hold in startups. It skews the stats.
Earlier quoted context omitted.
We have good metrics. The problem is the media seems to only ever look at one of them at a time but we need to look at several at once to get a more complete picture. Your scenario would be called out by median household income, or better median disposable household income. Even the good old GDP per capita covers your case. Workforce participation also can be valuable instead of or in addition to unemployment numbers…
> Even the good old GDP per capita covers your case. Absolutely not. If corporate revenue increases, but wages stay the same, GDP per capita goes up, yet the workers aren't any better off. All that extra money is being absorbed by the ones at the top. Median disposable household income is probably the best measure.
You're right that there is more nuance you'd wish to see, but it's harder to measure, and I don't know how much it's normally worth.
Earlier quoted context omitted.
You of course know that we have a diverse set of metrics for unemployment that capture all of what you are talking about right? And that is before we talk about alternative signals like the ADP number this like references. Anytime someone says “we need better ways” you should just read it as “I should do more reading”, because this is a very well studied, understood and measured set of data.
Yes, it's extremely irritating every time people trot out the same copy-pasted complaints about the BLS unemployment rate and how wrong it is, ignoring the fact that the BLS publishes six different unemployment rates, which specifically address most of those complaints. It's a sign of terminal incuriosity and using only superficial and secondhand sources of information like news reports on the unemployment rate, and…
The ADP payroll report is noise . It is based on the payroll data from ADP only . The assumption of this report is that companies that use ADP to process their payroll are completely representative of the entire economy and that there is no regional, sector, or company stage bias to their customers. A firm with ADP laying employees off and 3 new firms with the same number of employees being founded and using a differ…
ADP say that they handle payroll for one in six of all companies in America. That is both a large sample size, and probably broadly representative of the economy. There will of course be some business segments that are over or underrepresented but that is different than disregarding the entire report as noise.
It doesn't matter how large your sample size is if your sampling method is biased. This could be measuring market share gain/loss in different segments of a steady employment environment.
> disregarding the entire report as noise
Studies with bad / non public sampling methods should be, at a minimum, treated with great skepticism. Why would that not apply here?