ec9aa term 3: lectures on economic inequality
TRANSCRIPT
EC9AA Term 3: Lectures on Economic Inequality
Debraj Ray, University of Warwick, Summer 2020
Slides 1: Introduction
Slides 2: Personal Inequality: Occupational Choice
Slides 3: Functional Inequality: The Falling Labor Share
Slides 4: Inequality and Conflict
Slides 4s: Supplement: More on Cross-Group Violence
Postscript [if there is time]: Publishing without Perishing
From Personal to Functional
We now downplay personal endowments and accumulation
Though still very much in the background
Our focus: the functional distribution across capital and labor
Death of a Kaldor Fact
The falling labor share
Harrison (2002), Rodrıguez and Jayadev (2010), Karabarbounis and Neiman (2014)
Death of a Kaldor Fact
The falling labor share
Harrison (2002), Rodrıguez and Jayadev (2010), Karabarbounis and Neiman (2014)
Explanations
China Shock Autor, Dorn and Hansen (2016)
globalization + cheap labor
but happening everywhere (e.g., jobless growth in India)
Concentration Autor et al (2017), Azar and Vives (2019)
increasing product di�erentiation, gig economy, decaying unions
explanation or outcome?
Technical progress Acemoglu (1998, 2002), Acemoglu and Restrepo (2019)
robotics (hardware), machine learning (so�ware)
Explanations
These are add-ons to the standard growth model:
Ramsey-Solow-Uzawa-Lucas . . .
Balanced growth, steady states
But . . . have we got the standard model right?
Is balanced growth the “natural” baseline?
Re-Thinking Balanced Growth
Solow
Concavity of f ⇒ steady state
Balanced growth at the rate of technical progress
Endogenous growth theory Uzawa, Lucas, Romer
Still hard to let balanced growth and dynamic steady states go . . .
k(t) = sky(t) + (n + δ)k(t)
h(t) = shy(t) + (n + δ)h(t)
Mankiw-Romer-Weil 1992
Five Pillars
Five Pillars for a Theory
Human-physical asymmetry
Machines and robots
Preference neutrality
Economic growth
Singularity
I. The Human-Physical Asymmetry
k(t) = sky(t) + (n + δ)k(t)
h(t)= shy(t) + (n + δ)h(t)
What does the second equation mean?
Physical capital can be indefinitely replicated:
And so can individual claims to them.
But human capital cannot be replicated in the same way.
That equation is really there to generate balanced growth.
We drop it.
II. Machines and Robots
Capital: both complements (machines) and substitutes (robots).
Many sectors: final goods + machines + robots + education:
yj = f j(k j, `j) [CRS]
k: machines, complementary to labor
`: human or robot labor:
`j = hj + νjrj
νj: a replacement threshold: sector specific, but never 0.
Automation if the price is right:
in principle, the technology already exists.
Already There?
Automation if the price is right:
“nothing humans do as a job is uniquely safe anymore. From hamburgers to
healthcare, machines can be created to successfully perform such tasks with no
need or less need for humans, and at lower costs than humans. . . ” Scott Santens, The
Boston Globe, 2016
III. Preferences and Neutrality
People have (possibly di�erent) utility functions and discount factors.
Start with financial wealth + wage income in sector j
consume
get educated [evolution of human capital]
invest [evolution of physical capital]
End with new wealth, new sector, restart.
Neutrality
No bias in consumption preferences:
towards or against sectors that are robot-friendly
Price System
Competitive Pricing
numeraire: rental rate on machine capital
(p, pr, pk, pe): prices
(w, wr, wk, we): wages
Price System
Some Properties of Prices
price = unit cost, or zero profits:
pj = cj(1, λj), where λj ≡ min{wj, ν−1j pr} is e�ective price of labor.
profit-maximization:
e.g., λj = pj∂ f j(kj ,`j)
∂`j.
whether to automate:
e.g., if wj > pr/νj, then j is fully automated.
utility maximization:
consumption-savings choices are optimal at these prices.
IV. Growth
Summary of Ingredients
Production sectors
Physical capital can replicate, human capital expands across sectors Pillar I
machines and robots Pillar II
Preferences
neutral across human- and robot-friendly sectors Pillar III
Price system
standard competitive
Assume: Per-capita growth occurs in equilibrium Pillar IV
Need conditions on preferences relative to technology
An Example
Three Sectors
one final good:
y1 = k1/21 `1/2
1 c1(1, λ) =√
λ
capital:
yk = k1/2k `1/2
k ck(1, λ) =√
λ
robots:
yr =
[12
k−1r +
12`−1
r
]−1cr(1, λ) =
12
[1 +√
λ]2
free mobility of labor: no education sector.
common value of robot productivity ν.
An Example
Three Sectors
one final good:
y1 = k1/21 `1/2
1 c1(1, λ) =√
λ
capital:
yk = k1/2k `1/2
k ck(1, λ) =√
λ
robots:
yr =
[12
k−1r +
12`−1
r
]−1cr(1, λ) =
12
[1 +√
λ]2
free mobility of labor: no education sector.
common value of robot productivity ν.
An Example
robot price = unit cost:
pr(t) = cr(1, λ(t)) =12
[1 +
√λ(t)
]2.
Case 1: No automation if ν ≤ 1/2
Suppose not, then
pr(t) =12
[1 +
√ν−1 pr(t)
]2> pr(t), Contradiction
If economy grows forever, labor share constant at 50% in the long run.
An Example
robot price = unit cost:
pr(t) = cr(1, λ(t)) =12
[1 +
√λ(t)
]2.
Case 2: Long-run automation for all growing sectors if ν > 1/2.
Suppose not, then for large t:
pr(t) =12
[1 +
√w(t)
]2=
12+√
w(t) +w(t)
2< νw(t) Contradiction
because w(t)→ ∞ with growth.
If economy grows forever, labor income share falls to zero.
Four Lessons and One Puzzle
1. Non-substitution theorem
robot-sector automation pins down robot prices completely:
p∗r =12
[1 +
√ν−1 p∗r
]2,
Four Lessons and One Puzzle
2. Full long-run automation in growing sector once robot prices are pinned
for if false, human wages must be unbounded in growing sector.
⇒ ultimately robots must be cheaper.
Four Lessons and One Puzzle
3. Usually, partial economy-wide automation at any finite date
otherwise, wages would crash and humans would undercut robots.
(uses free mobility)
Four Lessons and One Puzzle
4. Labor income share declines to zero once robot prices are pinned
the decline is gradual but
by (eventual) full automation, inexorable.
Note: statement about relative, not absolute income.
V. Singularity
Stan Ulam quotes von Neumann:
“The accelerating progress of technology, and changes in the mode of human life,
give the appearance of approaching some essential singularity in the history of the
race beyond which human a�airs, as we know them, can not continue.”
V. Singularity
pr
cr (1, !r pr)
Singularity guarantees this cut.
450
pr*
-1
-1pr = cr (1, !r pr)
Formal Condition νr > limρ→0
cr(ρ, 1)
Always holds for Cobb-Douglas production
Or all CES production with elasticity of substitution no less than 1.
Our example: yr =[
12 k−1
r + 12 `−1r
]−1
CES: condition holds when ν > 1/2, fails when ν ≤ 1/2.
Automation and the Declining Labor Share
Theorem 1assume (a) long run growth, and (b) the singularity condition; then:
(i) every growing sector must become automated a�er some finite date;
(ii) though sectoral co-existence of robots and humans is possible, each growing
sector must become asymptotically fully automated in the long-run limit;
(iii) the share of human labor in national income must converge to zero.
Two Remarks
1. Machine capital scales, human capital does not.
2. Singularity in robot sector infects every other growing sector.
The Unbounded Accumulation of Human Capital
Give Humans a Chance!
Infinite number of final sectors
agents can move from sector to sector, accumulating human capital indefinitely
All utility functions are asymptotically homothetic.
(other technical restrictions on demand: continuity, positivity)
The Unbounded Accumulation of Human Capital
Theorem 2assume (a) long run growth, (b) the singularity condition, and (c)
asymptotically homothetic preferences; then:
(i) every sector, except possibly the machine capital and education sectors must
become automated a�er some finite date;
(ii) each such sector is asymptotically fully automated in the long run;
(iii) the share of human labor in national income must converge to zero.
A relative, not absolute crisis: If education costs are bounded and there is a
sequence of sectors such that νi → 0, then every human wage goes to infinity.
Link to Piketty
Escape Hatches
Four escape routes
No growth:
With a positive measure of highly patient agents, this cannot happen.
No singularity:
This is an empirical question. It could happen.
No homotheticity:
Again, an empirical question.
But homotheticity will need to fail in a particular way.
Technical progress:
next topic
Directed Technical Progress
Directed technical progress to the rescue?
That depends on what you choose to assume.
Extensive Margin:
Acemoglu and Restrepo (2018): new goods are un-automatable
N(t)N(t)-1 I(t)i
automatedcannot beautomated
Directed Technical Progress
Directed technical progress to the rescue?
That depends on what you choose to assume.
Extensive Margin:
Acemoglu and Restrepo (2018): new goods are un-automatable
N(t)N(t)-1 I(t)i
automatedcannot beautomated
Directed Technical Progress
Directed technical progress to the rescue?
That depends on what you choose to assume.
Intensive Margin: write `i = [νiri] + [θihi]
i
Set of GoodsAutomated Non-Automated
!-1wii "-1pri
Directed Technical Progress
Directed technical progress to the rescue?
That depends on what you choose to assume.
Intensive Margin: write `i = [νiri] + [µihi]
i
Set of GoodsAutomated Non-Automated
!-1pri"-1wii
Directed Technical Progress
Production Function
yj = f j(θjtk jt, µjthjt + νjtrjt)
Productivities θjt, µjt, νjt all a�ected by R&D
R&D
Inventor can advance productivity at rate ρ for a factor-sector pair:
Gets temporary patent protection, which she licenses to an active firm.
A�er one period the advance goes public.
Spillover fraction γ > 0 (public) for this factor in other sectors.
Cost κ(ρ) increasing, convex, prohibitive at ρ, same for every factor and sector.
Directed Technical Progress
Theorem 3 (The Extended Dismal Scenario)Assume the singularity condition, and mild technical restrictions (see paper).
Then in any equilibrium with capital growth, the income share of human labor
must converge to zero as t→ ∞.
i
Set of GoodsAutomated Non-Automated
!-1wii "-1pri
Directed Technical Progress
Theorem 3 (The Extended Dismal Scenario)Assume the singularity condition, and mild technical restrictions (see paper).
Then in any equilibrium with capital growth, the income share of human labor
must converge to zero as t→ ∞.
i
Set of GoodsAutomated Non-Automated
!-1pri"-1wii
Directed Technical Progress
Theorem 3 (The Extended Dismal Scenario)Assume the singularity condition, and mild technical restrictions (see paper).
Then in any equilibrium with capital growth, the income share of human labor
must converge to zero as t→ ∞.
i
wi
Set of GoodsAutomated Non-Automated
!-1pri"-1i
Summary
The Falling Labor Share
A natural consequence of any theory that rests on five pillars:
An asymmetry in physical and human capital accumulation
A recognition that physical capital can be machine-like or robot-like.
Preference neutrality with respect to human-friendly or robot-friendly goods.
Acceptance that economic growth will continue in the long run.
Singularity: The production of automata by means of automata.
Under these conditions, labor income share→ 0:
full automation in the long run . . .
. . . despite wages rising over time (slow automation).
Summary
An age-old anxiety: that “capital” will inherit the earth.
But the underlying worry is about the personal distribution of income.
that will depend on how much people save, and in what form they save.
Financial education is fundamentally important.
i’m pessimistic about the prospects of intelligent, informed savings in equity
but probably this is the only way to avoid a long-run crisis
Social Alternatives
universal basic income (e.g. Ideas for India special issue, Economic Survey)
social stock portfolios (e.g., Ghosh and Ray 2019 on the India Fund)