Younger American workers experienced average growth in their own hourly wages that significantly outpaced average price growth (CPI-U) over the last year.
Middle-aged workers' wage growth lagged price growth a bit.
This differs from @BLS_gov's official real wage growth measure. That focuses on change in average hourly earnings among those employed now & those employed a year ago, mixing wage changes for people employed both times (what I focus on) with changes in the kind of people employed
@BLS_gov Change in average hourly earnings (AHE) of employed gives a good, timely approximation of wage growth when the composition of workers is stable.
But when composition changes, it can mislead. Disproportionate lay offs of low-wage in pandemic look like big wage increases!
The Wage Growth Tracker method I used here only focuses on over-the-year wage change among individuals employed in both periods, so it doesn't get as confused by compositional change (tho there's an issue of who's employed in both periods).
Another kind of compositional change is always happening & pushes down AHE-based measures always.
Every month, the workers permanently leaving employment are older & higher-wage than entrants.
My sense: this retiree-entrant bias pushes AHE abt 2% below within-worker growth.
Within-worker measures (WGT) can minimize compositional biases in times of rapid change, but it also "corrects" for retiree-entrant bias, which is a perennial issue.
The official real hourly earnings measure is change in AHE minus change in a consumer price index (CPI-U).
Is younger workers' faster wage growth bcz they're more likely to switch jobs or work in a particular industry?
Predicting average wage growth in the individual level data for the most-recent 3 months yields the following estimates.
Age dominates, controlling for lots else.
Controls for age, salary, job switching, gender, educ, part/full time, occ skill group, industry, coarse race, MSA status, region, and wage quartile.
Caution & more work is warranted here. Data may be thin, not using weights.... But suggestive.
Comparing the Sept-Nov 2021 coefficients to those from Sept-Nov 2019 shows that associations with age have grown, while most other factors have changed less.
Sorry for the terrible labelling. It's a pain to clean up.
Another difference is that the official measures focus on over-the-year change into each single month. This pools over-the-year change into 3 months to get sample size.
I averaged CPI-U growth over the same 3 for comparability.
For answering, "how much has the average workers' buying power from an hour of labor changed over the year?", this has some real strengths over the official measure, especially now.
Tho I acknowledge that straying from official measures opens up cans of worms.
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Zoomers' wages are growing really fast. Median over-the-year growth within worker into the last 3 months is almost 10%, but less fast than last 2 months showed.
Acceleration in prime-age and older workers too.
Splitting up the age groups more finely shows acceleration in a lot of age groups, though lots of noise.
The @AtlantaFed presents median over-the-year trends by age group averaging over the growth into the last 12 months, rather than the last 3 as I did.
What I'm doing is somewhat inadvisable due to noise & small sample. Life on the bleeding edge seeking to detect rapid change.
Senator Rand Paul (R-KY) spoke about his opposition to the disaster aid bill in response to Hurricanes Harvey, Irma, and Maria and wildfires in California. c-span.org/video/?436237-…
Known: older Americans have exited the labor force in disproportionate numbers.
Unknown: how many will come back?
3.6 million more Americans are out of the labor force & not wanting a job now versus 2 years ago. Older Americans (55+) account for 90% of that increase.
What's affecting decision to work vs not?
⬇️value of Work: COVID risks, ⬇️job quality, lack of nominal wage acceleration.
⬆️value of Not Work: helping (grand)kids w/care, any new non-labor income/wealth.
A silver lining from COVID's adoption of remote working options?
A higher share of Americans with a disability are employed now than pre-pandemic, 20.4%.
Meanwhile, employment rate for Americans with no disability remain below pre-pandemic.
=> shift in relative productivity?
A source of talent employers may overlook and should investigate.
Perhaps the pandemic caused disability among previously employed people?
Doesn't look like it. The populations with and without disability have grown at about the same rate since the start of the pandemic. Both trends indexed = 100 in Feb 2020.