The Inexorable Forces Reducing Future US Economic Growth

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The Inexorable Forces Reducing
Future U. S. Economic Growth
Robert J. Gordon
Northwestern University and NBER
Bank of Korea International Conference
Seoul, 2-3 June, 2014
Slowing U.S. Growth
in the Global Context
• Discussions of global growth descend into vague
generalities
– Conditions in the U.S., Europe, Japan, Korea and the
emerging economies are all different
• The U.S. Has Carved Out the Technological Frontier
Since 1870, so it matters for global growth what
happens next
– The level of labor productivity relative to U.S. in Europe
and Japan almost caught up 1945-1995
– 1995-2014 their relative level has declined (growth half of
U.S.)
– Four tigers, China, emerging markets are at different
stages of catching up
Preview: Dimensions
of Slowing U.S. Growth
• The criterion of “growth” is the percentage annual
change of real GDP per capita
– The high hurdle: 1891-2007 growth of 2.0 %
• Preview (note future begins in 2007 not 2014)
1891-2007 2007-2032
Real GDP per Hour
2.2
1.3
Real GDP per Person
2.0
0.9
Bottom 99%
2.0
0.4
Disposable Bottom 99%
2.0
0.2
Sources of Slowing U.S. Growth:
Headwinds vs. Innovation
• The Primary Role of the Headwinds
– These have nothing to do with innovation
– They are relatively uncontroversial
– Their importance differs across countries
– They account for 1.2 percentage points of the 1.8
percentage point of growth slowdown after 2007.
• Slower innovation began in 1972, not now
– Slower innovation after 1972 compared to pre-1972
accounts for the other 0.6 of the slowdown.
• Total slowdown: 1.8 points from 2.0 to 0.2
– Of this, 1.2 headwinds and 0.6 innovation 40 years ago
Headwinds are Nation-Specific,
but Innovation is a Free Good
• Irony: what’s bad for the U.S. may not be so bad for
other developed nations
• Headwinds include demography, education,
inequality, debt, globalization, and
energy/environment
– Headwinds are nation-specific
– Aging population may be more important elsewhere but
education and inequality headwinds less important
• Innovation may originate in the U.S. but is a
worldwide “free good”
• Other nations are at the same frontier as the U.S. in
tablets, smart phones, whether these innovations
occur in the U.S. or not
Output per Person equals Output per
Hour times Hours per Person
Y/N Ξ Y/H * H/N
• Productivity growth combines the role of innovations
with educational advancement.
• Standard of living can grow faster than productivity if
hours per capita increase. Or the reverse can happen.
• Example #1: Women enter the labor force 1965-95
• Example #2: Baby-boomer generation retires.
– This reduces the growth of our standard of living; someone
has to pay the bill for the idle hours of the baby-boomers.
The Decline in Hours per Capita is Not
Just About Baby-boom Retirement
• Prime-Age Males
– Employment/Population Ratio 95% in 1968 to
83% in 2012
• Youth
– Employment/Population Ratio 65% in 1988 to
46% in 2012. Only about 1/3 of this decline is
accounted for by increased school participation
• Females 20 and Over
– Labor Force Participation Rate rose 35% in 1968 to
58% in 2000, then fell back to 55% in 2012
Prime-Age Male Participation
Is Part of the Demographic Headwind
100
Figure 20: Employment per Capita and Labor Force Participation Rate, Males
Ages 25-54, 1960:Q1-2012:Q3
95
90
Percent
85
E/N
L/N
80
75
70
65
60
1960
1964
1968
1972
1976
1980
1984
Year
1988
1992
1996
2000
2004
2008
2012
Second Headwind: Education
• A major driver of that epochal 20th century productivity
achievement was education
– High school completion rate has barely changed since 1970.
– Most people drop out of 2-year community colleges
– College completion is increasing but 40% of recent graduates
are in jobs that do not require a college education
– The U. S. is the only developed country where the educational
attainment of the 55-64 cohort is the same as 25-34 cohort
• U.S. has dropped from #1 to #16 in college completion as
percent of population; same for high-school dropouts
• This will reduce future economic growth by -0.3 percent
per year compared to the contribution of education to 20th
century growth
Third Headwind: Inequality
• For 1993-2012 the gap between average real
income growth of total vs. bottom 99% is
-0.53 percent per year.
• This is continuing, it’s not over. Count the ways
– CEO pay, sports and entertainment stars. ($10-15 million)
– Wage pushbacks – lower wages, two-tier wages, shaving
pension and medical care benefits (Caterpillar, Boeing)
– Firms pushing employees into part-time work (Wal-Mart)
– The current debate about the minimum wage
Interaction Demographics, Education,
Inequality
• Charles Murray’s division of white population into
Belmont (top 20%) and Fishtown (bottom 30%)
• Social stability in Belmont, not in Fishtown
– Percent of children of women aged 40 living with both
biological parents, change from 1960 to 2010:
– Belmont 98% to 87%
– Fishtown 95% to 35%
• Interaction with education: for a child to live
without a father at home is a predictor of more high
school drop outs in the future
Further Interactions Poverty,
Education, and Inequality
• Proponents of subsidized early childhood education
emphasize the vocabulary gap
– Children in the top half arrive in kindergarten with 2 to 3
times the vocabulary of children coming from poverty
families
• In the CPS last year, 20% of children were absent more
than one month during the academic year
– Only 12% went on to receive any college degree
• International OECD-run PISA test results for 2013 were
released in December, 2013
– Of 38 developed countries, U.S. ranked #21 in reading, #24 in
science, and #31 in math
Fourth Headwind: Eventually We Have to Raise Taxes
and/or Cut Entitlement Spending Growth
Fiscal Fix Will Reduce Growth
in Disposable Income
• This chart understates future growth
in debt/GDP ratio because it is overly
optimistic on future GDP growth
• Many state/local governments have
huge pension liabilities
• Solutions at all levels of government
will require faster growth of taxes
and/or slower growth of benefits
Subtracting the Headwinds from
Future Growth
Figure 3. Future Economic Growth,
2.0 without Headwinds and 0.8 with Headwinds
1000000
2077:
$200,273
2009 US Dollars
100000
2077:
$86,460
1891-2007 Actual = 2.0%
2007:
$49,387
Actual Values
2013:
$49,918
10000
1000
1891
1911
1931
1951
1971
1991
Year
2011
2031
2051
2071
How Are We Doing Now?
12% Below Green, 4% Below Black
62500
Figure 4. Level of Real GDP per Capita through 2013:Q3, Actual, Optimistic,
and Pessimistic Growth Rates
2013:Q3
$56,243
2009 US Dollars (log scale)
2007:Q1
$49,387
31250
1992
0.8%
2013:Q3
$50,022
log percentage difference
between red line and green line= 11.7%
between red line and black line= 3.5%
Actual Values
1891-2007 Actual= 2.0%
1996
2013:Q3
$51,800
2000
2004
Year
2008
2012
Now Let’s Switch from the Headwinds
to the Outlook for Innovation and
Future Productivity Growth
• Standard growth accounting decomposes growth in
labor productivity into contributions of:
– growth in labor quality
– effect of capital deepening (K/N)
– residual (= total factor productivity or TFP)
• But capital deepening is endogenous to TFP (Evsey
Domar quote about plows)
• Thus growth in labor productiviity reflects long-term
effects of education and innovation broadly defined
Productivity Growth:
Innovation Plus Education
Figure 5. Annualized Growth Rates of Output per Hour, 1891-2013
3.00
2.54
2.50
2.36
Percent
2.00
1.50
1.38
1.33
1.00
0.50
0.00
1972-1996
1891-1972
Years
1996-2004 2004-13
The Second Industrial Revolution
vs. the Third Industrial Revolution
Why Did Productivity Grow Faster
In the Century Before 1972?
The One-Time-Only Inventions
– Polluting flames for light >> instant on-off electric
light
– Factory power with steam engines and belts >>
electric machine tools and hand tools
– Offices and home cold and hot >> central heating
and air-conditioning
– Horses >> motor vehicles
– Railroads >> interstate highways and air travel
– Mainly rural 1870 >> mainly urban 1950
More One-Time Changes Before 1972
– Carrying pails of water >> running water
– Outhouses >> indoor bathrooms
– Infant mortality 20% >> infant mortality 1%
– Child labor. 1890 almost half of 14-15 year old
boys were in the labor force >> almost none after
1940
– Isolation >> telephone + phonograph + radio + TV
– Motion Pictures: Nickelodeon 1905 >> “Gone With
the Wind” in 1939
More One-Time Changes Before 1972
– Death from infections >> antibiotics
– FDR’s paralysis >> Salk’s conquest of polio
– A mouthful of cavities >> flouridated water
– 1870 boring diet of ham & hominy >> much
greater food variety by 1930
– Two or three children per bedroom >> one
each
– 60 hour work weeks >> 40 or less
Summing Up, Why Was
Productivity Growth Faster Before
1972 than After?
• The 2nd IR consisted of at least five
dimensions of Great Inventions
– Each invention had spinoffs developed over 18901972
• In contrast the post-1960 3rd IR has been
limited to one dimension, the ICT revolution,
the digital economy
– Its productivity impact was limited to 1996-2004
2.4
2
Summary of Subtraction
from 2.0 to 0.2, Disposable Real
Income per Capita of Bottom 99%
2.0
1.8
1.5
1.6
Percent
1.2
1.0
0.8
0.8
0.4
0.2
0
Actual 18912007
Subtract
Demography
Subtract
Education
Subtract
Inequality
Subtract Debt Fix Subtract Post1972 Innovation
Slowdown
Framing the Debate About Future
Innovation
• My forecast of productivity growth for the 25 years
after 2007 assumes that innovation will proceed at
the same pace as the last 40 years
• Many innovations will occur over the next 40 years,
but will they be as important as the last 40? They
must be as important, or else my growth forecast is
too optimistic
The Next 40 Like the Last 40? What a
Stunningly Optimistic Outlook!
• The next 40 years must bring us innovations as
important as
– The PC, the internet, e-commerce
– Mobile phones, smart phones & ipads
– Digitalization of library catalogues and parts catalogues
– Instant free access to all the world’s information
– Revolution in office equipment and procedures
– Bar-code scanning, the ATM machine, i-tunes, cable TV,
CDs, DVDs, movie streaming
Can Future Innovation Be
Forecast in Advance
• The myth that the future cannot be forecast.
– “Any pessimist gazing into the future is condemned y a
lack of imagination and doomed to repeat the mistakes
of past pessimists.”
– Examples: Jules Verne 1863, on the verge 1875, Ladies
Home Journal 1900, New York World’s Fair 1939, Norbert
Wiener 1949.
• The techno-optimists in making their predictions
about the future are making guesses, just like those
who are less optimistic. Optimism and pessimism
are symmetric regarding future-gazing
Comments on Techno-optimists,
Brynjolfsson and McAfee
• Their optimism centers on an explosion of
data – billions >> trillions >> quadrillions
(“BIG DATA”)
• Small, easily programmable robots
• Driverless cars, trucks, and taxis
• The genome will make possible advances in
medical and pharmaceutical technology
They Are Slippery on Timing,
Past vs. the Future
• Their book Second Machine Age claims that we are at a
“point of inflection” toward an acceleration of
technological change
• Yet they include as future progress things that have
already happened in the past
• “Andy now sends Erik a file as an e-mail attachment
whereas before he sent it as a floppy disk”.
• Sorry, guys, we’ve been doing this since at least 1993!
• Productivity growth has not responded to the
innovations of the last decade
• Examples of how different were the late 1990s from the
past decade
Four Pieces of Evidence That the Late
1990s Were Special
Figure 5. Annualized Growth Rates of Output per Hour, 1891-2013
3.00
2.54
2.50
2.36
Percent
2.00
1.50
1.38
1.33
1.00
0.50
0.00
1972-1996
1891-1972
Years
1996-2004 2004-13
Growth in Manufacturing Capacity
Peaked in the late 1990s
Annualized Five-Year Change in Manufacturing Capacity
and Capacity per Capita, 1977-2013
8
7
6
5
4
3
Capacity
Capacity /
WAP
2
1
0
-1
-2
1977
1982
1987
1992
1997
2002
2007
2012
The Most Dynamic Part of
Manufacturing Has Disappeared
Share of ICT Manufacturing Value-Added in
Total Manufacturing Sector, 1972-2013
9
8
7
6
5
Share as a Percentage
4
3
2
1
0
1972
1977
1982
1987
1992
1997
2002
2007
2012
Annual Rate of Change of
ICT Deflator
10
5
0
1973
-5
-10
-15
1978
1983
1988
1993
1998
2003
2008
Are There Policy Solutions?
• Demographics: index the retirement age to life
expectancy and sharply raise quotas for legal
immigration
• Reduce the share of the population in prison by
legalizing drugs
• Education: impose higher standards in secondary
school while investing in pre-school to reduce the
“vocabulary gap”
• Inequality: return capital gains and dividend tax rates
to pre-1997 levels.
• Make medical care a right of citizenship, not tied to
employment status
Summary:
Headwinds vs. Innovation
• If future innovations are less important than the last
125 years and especially if they are less important
than the last 40 years, all developed nations are
affected
– Still room for catching up in emerging markets
• Headwinds in other countries may be less serious
– Better education (Canada, Korea)
– Less inequality (Japan, Korea, France, Scandinavia)
– Less future burden of rising debt/GDP ratio
• Assignment for our panel: Comment on all of the
above.
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