Do higher adult literacy and numeracy skills raise wages and GDP?
Core argument: OECD PIAAC data show individuals with higher literacy and numeracy proficiency earn on average 20% more than those with lower skills, a wage premium correlated with skill levels across OECD countries.
The PIAAC [Programme for the International Assessment of Adult Competencies] data reveals a significant correlation between skill levels and wage disparities across OECD countries. Individuals with higher proficiency in literacy and numeracy earn, on average, 20% more than those with lower skills. This wage premium underscores the economic value of skill acquisition in the labor market. Furthermore, the data indicates that a 1% increase in skill proficiency can lead to a 0.3% rise in GDP per capita, highlighting the macroeconomic benefits of investing in education and training. The findings suggest that policy makers should prioritize skill development to enhance productivity and economic growth, addressing wage inequality and fostering a more competitive workforce.





We need hours worked per household to get “Household gross adjusted disposable income” per hour worked. They might have it directly. The might have workers per household and hours per worker
Yes, my read of the definition is they are using "per capita" to refer to the individual household units in the household series,
I thought we looked at per family not per capita $50,203 is way too high to be per capita (i.e. every living person).
Okay, so you would like thehousehold gross disposable incomemeasure (50,203 for US and 38,996 for Germany so ~ 30% higher) adjusted for hours worked. it is in US/dollars/capita so that's average.
PS see if you can get the data on disposable income per family that shows the US earning 30% more than Germany, by hour worked instead of per family. Check if it’s median or average (I think it’s average.) That would allow us to make an estimated conversion from hourly wage to disposable income accounting for healthcare, at least at the median (or average)
Three charts. The first is all countries, including the US with ethnicity for P10/P50/P90 without a regression. The second chart is the same series with a regression though all points. The third chart is the second chart with the US points and average of non-US countries removed.
The charts have the same scale and dimensions for easy comparison.
Note we are using P50 as requested, not mean with the second run of cleaned up data OECD provided. It remains a strong relationship, including the US the R2 is.8123, without the US points the R2 increases to.868.
I understand, while I have hours worked, (Total hours/worker) but I don't have the # of workers per household yet.
Do you have total number of households and or total number of workers or total hours of work?