Another comparison
of wages could focus instead on how wages changed compared to prices – that is,
did wages keep up with inflation? Again, there are many indicators from which
to choose – various measures of wages and even more measures of inflation. To
makes matters even more challenging – some of the series go back to 1929 while
others just got started in 2006.
What I am
saying here if it isn’t obvious is that it is time for a nice cold JD. It is
also time to make some decisions. No matter which choice I make some of you
will want to scold me. But I made a decision anyway. I decided to focus on the years
from 1968 to 2017. Going back to 1968 means we have a rich enough data set so
that we can put today’s low inflation numbers in perspective with past times when
US inflation was higher. I also decided to use the CPI as my inflation
variable. Earnings of Production and Nonsupervisory Workers in the Business Sector is my measure of wages.
What I examined
is how earnings kept up with inflation during the past half-century. To do this
I calculated three times series – %
change in earnings (Edot), % change in prices (Pdot), and % change in the buying power of the
earnings (calculated as the first series minus the second one (Edot minus Pdot)). For example, in
1970 the % change of earnings was 6.1%. Prices rose by 5.6%. Therefore the
buying power of the earnings rose by 0.5% (6.1-5.6) in 1970. 1970 is an example
of a year when earnings did quite well. The wage increase of these production and nonsupervisory workers was larger than the increase in the cost of living.
As I look down my table (below) I
notice there are lots of years when the buying power of earnings was positive
while there were also years when workers did not keep up with inflation (buying
power of earnings was negative). When the buying power of earnings was negative
– it meant that workers were getting behind – and that they might at some point
want to catch up.
The earnings
buying power went down considerably from 1973 to 1975 and then again from 1978
to 1981. In those years inflation was hitting double digits and despite some
good years of earnings growth – these earnings just couldn’t keep up with inflation. In 1980 earnings rose by almost 9% but since inflation was 12.5% workers fell behind. And strangely enough, it was not until 1995, after the inflation rate had
fallen considerably that earnings began rising faster than inflation. The years
1995 to 2002 were catch-up years. During those years earnings rose a total of about 10
points more than inflation.
Between
2003 and 2012 there was no real pattern. But then between 2013 and 2017 there
was a very clear pattern – and brace yourself for this – wherein inflation generally stayed below 2% per year – wages of
production and non-supervisory workers were rising by about 2.4% per year. Thus, earnings were catching up as the buying power of earnings increased.
There are
lots of ways to go from this point. But let’s not forget one thing. While
workers always want higher wages – the thrust for higher wages
is often driven by how far wages stretch to buy goods and services. This data suggests that
while there have been times when the buying power of the wages declined (in the
1970s and then from the mid-80s to the mid-90s) – the last 15 years cannot be
classified as a time when inflation robbed workers of their buying power.
Especially the last 15 years show just the opposite. Workers might not love the size of their wage increases – but these increases have been well above the inflation rate.
And therefore, there is no clear pent-up explosion of wage increases looming
around the corner.
As I said above, there are lots of ways to go from here. I am not saying that all workers are just fine. I am not saying there are no labor market issues to deal with. What I am saying is that the rate of growth of earnings compared to the cost of living is important for understanding future wage and price growth. The earnings of production and nonsupervisory workers in the USA might not be growing rapidly but they have, of late, been growing faster than the cost of living. That needs to be factored into our forecasts for the future.
Table
Earnings
|
CPI
|
Edot -
|
|||||||||
Year
|
Dec
|
Dec
|
Edot
|
Pdot
|
Pdot
|
||||||
1968
|
3.11
|
35.5
|
|||||||||
1969
|
3.30
|
37.7
|
6.1
|
6.2
|
-0.1
|
||||||
1970
|
3.50
|
39.8
|
6.1
|
5.6
|
0.5
|
||||||
1971
|
3.73
|
41.1
|
6.6
|
3.3
|
3.3
|
||||||
1972
|
4.01
|
42.5
|
7.5
|
3.4
|
4.1
|
||||||
1973
|
4.25
|
46.2
|
6.0
|
8.7
|
-2.7
|
||||||
1974
|
4.61
|
51.9
|
8.5
|
12.3
|
-3.9
|
||||||
1975
|
4.87
|
55.5
|
5.6
|
6.9
|
-1.3
|
||||||
1976
|
5.23
|
58.2
|
7.4
|
4.9
|
2.5
|
||||||
1977
|
5.61
|
62.1
|
7.3
|
6.7
|
0.6
|
||||||
1978
|
6.10
|
67.7
|
8.7
|
9.0
|
-0.3
|
||||||
1979
|
6.57
|
76.7
|
7.7
|
13.3
|
-5.6
|
||||||
1980
|
7.13
|
86.3
|
8.5
|
12.5
|
-4.0
|
||||||
1981
|
7.64
|
94.0
|
7.2
|
8.9
|
-1.8
|
||||||
1982
|
8.02
|
97.6
|
5.0
|
3.8
|
1.1
|
||||||
1983
|
8.33
|
101.3
|
3.9
|
3.8
|
0.1
|
||||||
1984
|
8.61
|
105.3
|
3.4
|
3.9
|
-0.6
|
||||||
1985
|
8.87
|
109.3
|
3.0
|
3.8
|
-0.8
|
||||||
1986
|
9.01
|
110.5
|
1.6
|
1.1
|
0.5
|
||||||
1987
|
9.28
|
115.4
|
3.0
|
4.4
|
-1.4
|
||||||
1988
|
9.60
|
120.5
|
3.4
|
4.4
|
-1.0
|
||||||
1989
|
9.98
|
126.1
|
4.0
|
4.6
|
-0.7
|
||||||
1990
|
10.35
|
133.8
|
3.7
|
6.1
|
-2.4
|
||||||
1991
|
10.64
|
137.9
|
2.8
|
3.1
|
-0.3
|
||||||
1992
|
10.90
|
141.9
|
2.4
|
2.9
|
-0.5
|
||||||
1993
|
11.18
|
145.8
|
2.6
|
2.7
|
-0.2
|
||||||
1994
|
11.47
|
149.7
|
2.6
|
2.7
|
-0.1
|
||||||
1995
|
11.81
|
153.5
|
3.0
|
2.5
|
0.4
|
||||||
1996
|
12.25
|
158.6
|
3.7
|
3.3
|
0.4
|
||||||
1997
|
12.76
|
161.3
|
4.2
|
1.7
|
2.5
|
||||||
1998
|
13.22
|
163.9
|
3.6
|
1.6
|
2.0
|
||||||
1999
|
13.70
|
168.3
|
3.6
|
2.7
|
0.9
|
||||||
2000
|
14.29
|
174.0
|
4.3
|
3.4
|
0.9
|
||||||
2001
|
14.75
|
176.7
|
3.2
|
1.6
|
1.7
|
||||||
2002
|
15.21
|
180.9
|
3.1
|
2.4
|
0.7
|
||||||
2003
|
15.47
|
184.3
|
1.7
|
1.9
|
-0.2
|
||||||
2004
|
15.86
|
190.3
|
2.5
|
3.3
|
-0.7
|
||||||
2005
|
16.36
|
196.8
|
3.2
|
3.4
|
-0.3
|
||||||
2006
|
17.05
|
201.8
|
4.2
|
2.5
|
1.7
|
||||||
2007
|
17.69
|
210.0
|
3.8
|
4.1
|
-0.3
|
||||||
2008
|
18.38
|
210.2
|
3.9
|
0.1
|
3.8
|
||||||
2009
|
18.84
|
215.9
|
2.5
|
2.7
|
-0.2
|
||||||
2010
|
19.22
|
219.2
|
2.0
|
1.5
|
0.5
|
||||||
2011
|
19.56
|
225.7
|
1.8
|
3.0
|
-1.2
|
||||||
2012
|
19.89
|
229.6
|
1.7
|
1.7
|
-0.1
|
||||||
2013
|
20.34
|
233.0
|
2.3
|
1.5
|
0.8
|
||||||
2014
|
20.73
|
234.8
|
1.9
|
0.8
|
1.2
|
||||||
2015
|
21.25
|
236.5
|
2.5
|
0.7
|
1.8
|
||||||
2016
|
21.78
|
241.4
|
2.5
|
2.1
|
0.4
|
||||||
2017
|
22.31
|
246.5
|
2.4
|
2.1
|
0.3
|
||||||
Good study! I have thought for some time that the rate of inflation is, overall, a more important metric because it impacts workers but also has a potentially drastic effect on fixed income folks--retirees. So its importance is greater than just to the analysis of what should happen to wages in the workforce. ( Not a brilliant insight, but one that supports the overall arguement)
ReplyDeleteDear LSD. Good analysis . . . . and I like the use of .dot .dots. You focused on production/non-supervisory in the Business Sector. I googled some stuff and found that professional business services, financial activities, information, retail, and manufacturing account for about 30% of total employment 2017. Further, that service workers account for about 80% of total employment. Would your analysis results be different if you included service workers (or does your Business Sector include service workers)?—acknowledging you didn’t want to include all workers to keep it simple. Yes, I know we used different sources but it seems that including service workers might yield different implications for wages/inflation. Then, again . . . . . what’s the point . . . would looking at service vs. non-service workers change the magic of happy hour with JD whether at 5pm Central or Eastern time?
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