PeterZ wrote:I think this post truly frames the underlying practical question. Is the 2.5% of the working population making minimum wage better off working and learning the skills necessary to make more than the minimum wage or are they better off unemployed?
These are the jobs on the margin. They pay so little because the do not generate sufficient return to the business. If the minimum wage is increased, the business would hire a more productive staff. People who can do multiple jobs that had previously paid minimum wage.
Movie theaters will see some procedures that would reduce the number of ticket takers. Perhaps, double up the concessions sales and taking tickets. Maybe automating the ticket validation process. McDonald's is experimenting with a more fully automated kitchen and point of sale system. They new system would employ far fewer people and those that are employed would have to have sufficient skills to be much more productive. The new positions pay more, but there are fewer of them.
Ps. That 2.5% consists of 1.2% below 25 years old who are learning skills and 1.2% 25 years old and older who either haven't learned sufficient skills or are troubled/handicapped in some way. It is more effective to address the specific problems of that 1.2% of the adult working population than to simply mandate that everyone be paid more whether they have the skills to earn that increased pay or not.
Something didn't seem right so I went and reexamined the data. The chart I posted was for the US. Which meant for that information the minimum wage was $7.25 in some areas not $8.05 as I posted.
But if you want some fun.
http://data.bls.gov/oes/search.jsp?data_tool=OES Data from May 2015 only option available. Our bureaucrats have way to much time on their hands! There are three different area selections that include Seattle in the title. I just picked one.
Area name
|| Seattle-Tacoma-Bellevue, WA || Spokane-Spokane Valley WA
Employment(1) || 2920 || 160
Employment percent relative standard error(3) 5.2 22.3
Hourly mean wage || 13.25 || 18.41
Annual mean wage(2) || 27550 || 38300
Wage percent relative standard error(3) 4.5 6.7
Hourly 10th percentile wage || 9.78 || 9.61
Hourly 25th percentile wage || 10.68 || 14.98
Hourly median wage || 12.47 || 20.22
Hourly 75th percentile wage || 15.71 || 22.27
Hourly 90th percentile wage || 17.95 || 23.5
Annual 10th percentile wage(2) || 20350 || 19990
Annual 25th percentile wage(2) || 22210 || 31160
Annual median wage(2) || 25930 || 42060
Annual 75th percentile wage(2) || 32670 || 46320
Annual 90th percentile wage(2) || 37330 || 48880
Bear in mind the same profession according to the Bureau of Labor Statistics."Occupation: Ushers, Lobby Attendants, and Ticket Takers (SOC code 393031)"
Look at the disparity in wages in datasets that are a tiny 300 miles apart.
My apologies for screwing up the earlier post.
Have a good weekend,
T2M