No Planet Money! How Could You? Not the Fake Graph!

3 min read Original article ↗

No Planet Money!

Not the fake graph!

9:41 
Productivity 
WAGES 
T 
T 
T 
1950 
1970 
1990 
2010 
PM 
9,304 
... 
172 
BUT SINCE THE 1970'S, THE PAYCHECKS 
HAVE NOT GROWN NEARLY AS FAST. 
557 
planetmoney . . 1d ago 
204 
Learn more about this in our new book! 
PM 
planetmoneybook.com #wages #i ... more 
Q Search · salary amended regulations 
> 
Add comment ... 
100 
6 
II 
O 
V

I was if it was legit and to elaborate.

9:41 
Prove 
WAGES 
1950 
970 
1990 
2010 
BUT SINCE THE 1970'S. THE PAYCHECKS 
HAVE NOT GROWN NEARLY AS FAST. 
172 comments 
X 
tonytossup 
@Christopher Clarke legit? 00 
1d 
Reply 
Christopher Clarke 
The initial graph isn't true. But, the 
representation of different ideas is 
decently done 
22h 
Reply 
1 
tonytossup > Christopher Clarke 
Yes, the graph actually is what I was 
asking if it was legit, thanks for that! 
22h 
Reply 
0 
H_I_McDunnough > Christopher Clarke 
could you elaborate on this? 
0 
3h 
Reply 
Hide ^ 
Add comment ... 
@ 
O 
<

The graph makes a fundamental mistake that you don’t need a degree in economics nor statistics to understand.

It compares a median … with a mean.

I think everybody on the internet understands that because of skewed income inequality, the median is the more interesting measure. It’s not affected by outliers.

The blue line measures median wages adjusted for cost of living.

But the productivity line, in orange, is not the productivity of the median worker, but for the average worker - the mean productivity. It’s comparing apples and oranges!

What happens when we look at wages for the mean worker?

The gap disappears. The average worker receives pay according to their average productivity.

Well, whoop-de-doo for the mean worker - but what about the median worker? What’s their productivity? Unfortunately, we don’t have that data.

But, we do have productivity data broken down by industry. Not every industry has seen the same increase in productivity. As you can imagine the last few decades productivity growth has been dominated by computers and information technology.

Now, here’s a little secret, that nobody talks about. Many people’s pay has gone up by more than their corresponding sector’s productivity.

You see what happens is that increasing productivity (and hence pay) in the tech sector changes the overall labor market. Now, if firms outside of tech want to hire people, they have to compete with tech firms offering crazy high wages. This lifts wages everywhere.

To understand why, ask yourself why a taxi driver in America makes so much more than a taxi driver in Guatemala. It’s the same work. But the taxi driver in America has other, better options competing for their labor hours.

Here, this will blow your mind. This is the true graph for many jobs: The real wages for workers in food services and drinking places rose over 43% since 1998. Whereas productivity in the sector only grew by 25%. The gap goes the other way.

Because the Productivity series is adjusted for inflation by using CPI, I also adjust the wage series by CPI. All my calculations can be found in this spreadsheet.
12:21 
WAGE 
STAGNATION 
PM 
12.1K 
WHAT'S HAPPENING WITH WAGES? 
... 
187 
782 
planetmoney · · 3d ago 
268 
Learn more about this in our new book! 
M 
planetmoneybook.com #wages #i ... more 
Add comment ... 
100 
O 
V

While many promote the myth of wage stagnation, when we look at the cost of living and compare it to median wages we see that in 1964 the median worker made the equivalent of $19 an hour in today’s dollars. Today’ that number is over $30. I wouldn’t call that stagnation.

11:11 
79 
... 
2% fred.stlouisfed.org/st 
+ 
17 
FRED® 
Q = 
FRED Graph 
1Y 
5Y 
10Y 
Max 
Edit Graph 
Download v. 
FRED 
- 
100*Average Hourly Earnings of Production and Nonsupervisory Employees, 
Total Private/Personal Consumption Expenditures: Chain-type Price Index, 
Jan 2025=100 
32.5 
30.0 
27.5 
25.0 
225 
May 1964: 19.42418 
90*$ per Hour/Index 
20.0 
17.5 
1980 
2000 
2020 
Sources: U.S. Bureau of Economic Analysis; U.S. Bureau of Lab ... 
Shaded areas indicate U.S. recessions. 
Fullscreen [] 
Share Graph @ 
Account Tools 
X 
f 
(in 
Notes 
Average Hourly Earnings of Production and 
<
The Production and Nonsupervisory Hourly Earnings series is functionally very close to the official “median” series. The advantage is this series goes further back in time.

Edit: A number of people have asked about the relationship between “Average Hourly Earnings of Production and Nonsupervisory Employees” and “Median earnings.” I label the Avg Nonsupervisory Earnings as “median” because it is so closely approximated to the official median series. The problem with the official “median” series is that it only goes back to 1979. But to study the issue at hand, we need a measure similar to median that can go back before the 70’s.

Here are the two series, adjusted for inflation, along with a link to the graph. I also adjust the “hourly” to “weekly” by multiplying it by 40.

Discussion about this post

Ready for more?