short version: a simple economics of inequality
TRANSCRIPT
A Simple Economics of Inequality-Market Design Approach-
Yosuke YASUDA | Osaka University [email protected]
- November 2016 -
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Motivation• Inequality at the forefront of public debate!
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Global Wealth: Top 1% > Bottom 99 %
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Each of the remaining 383 million adults (8% of
the world) has net worth above USD 100,000.
This group includes 34 million US dollar million-
aires, who comprise less than 1% of the world’s
adult population, yet own 45% of all household
wealth. We estimate that 123,800 individuals
within this group are worth more than USD 50
million, and 44,900 have over USD 100 million.
The base of the pyramid
Each layer of the wealth pyramid has distinctive
characteristics. The base tier has the most even
distribution across regions and countries (see
Figure 2), but it is also very diverse, spanning
a wide range of personal circumstances. In devel-
oped countries, only about 20% of adults fall
within this category, and for the majority of these
individuals, membership is either transient – due
to business losses or unemployment, for example
– or a lifecycle phenomenon associated with
youth or old age. In contrast, more than 90%
of the adult population in India and Africa falls
within this range. The percentage of the popula-
tion in this wealth group is close to 100% in
some low-income countries in Africa. For many
residents of low-income countries, life member-
ship of the base tier is the norm rather than the
exception.
Mid-range wealth
In the context of global wealth, USD 10,000–
100,000 is the mid-range wealth band. It covers
one billion adults. The average wealth holding is
close to the global average for all wealth levels and
the combined net worth of USD 31 trillion provides
the segment with considerable economic clout.
India and Africa are under-represented in this tier,
whereas China’s share is relatively high. The com-
parison between China and India is very interesting.
India accounts for just 3.4% of those with mid-
range wealth, and that share has changed very little
during the past decade. In contrast, China accounts
for 36% of those with wealth between USD 10,000
and USD 100,000, ten times the number of Indi-
ans, and double the number of Chinese in 2000.
Higher wealth segment of the pyramid
The higher wealth segment of the pyramid – those
with net worth above USD 100,000 – had 215
million adult members at the start of the century.
By 2014, worldwide membership had risen above
395 million, but it declined this year to 383 million,
another consequence of the strengthening US
dollar. The regional composition of the group differs
markedly from the strata below. Europe, North
America and the Asia-Pacific region (omitting China
Source: James Davies, Rodrigo Lluberas and Anthony Shorrocks, Credit Suisse Global Wealth Databook 2015
Figure 1
The global wealth pyramid
USD 112.9 trn (45.2%)
34 m(0.7%)
349 m(7.4%)
1,003 m(21.0%)
3,386 m(71.0%)
Number of adults (percent of world population)
Wealthrange
Total wealth(percent of world)
USD 98.5 trn (39.4%)
USD 31.3 trn (12.5%)
USD 7.4 trn (3.0%)
> USD 1 million
USD 100,000 to 1 million
USD 10,000 to 100,000
< USD 10,000
24 Global Wealth Report 2015
Motivation• OK, inequality should be fixed, but how?
• Does redistribution (from rich to poor) work?
• Efficiency loss: distortion on incentives
• Not so effective: capital gains, tax haven
• Difficult to enforce: lobbying by rich
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Natural Questions• What if redistribution is NOT available?
• Then, how should we (re)evaluate market economy?
• Can competitive market still be optimal?
• Does market or globalization bring on inequality?
• Is equitable market design needed?
=> These are what I study in this project!
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Bisection Method• 1st: Increase the pie
• Partial Equilibrium — Total Surplus Maximization
• General Equilibrium — Pareto Efficiency
• 2nd: Redistribute (if necessary)
• Partial Equilibrium — Compensation Principle
• General Equilibrium — Second Welfare Theorem
=> Make sense only if effectual redistribution is “feasible.”
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economists’ focus
necessarily subjective=> beyond economics
Main Result • I consider homogenous good markets, assuming that
• (i) each buyer/seller has a unit demand/supply, and
• (ii) redistribution (by the third party) is infeasible.
• Show that competitive market minimizes the # of trades.
• The quantity of goods traded under the competitive market equilibrium is minimum among all feasible allocations that are Pareto efficient and individually rational. (given assumptions (i) and (ii))
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Interpretation• Market outcomes can be seen most unequal:
• The number of agents who engage in trades under the market equilibrium is minimum among all feasible and efficient allocations.
• # of left-behind agents from trade is maximized!
• The competitive market achieves “the greatest happiness of the MINIMUM number”!!
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Example 1• 4 buyers, 4 sellers, unit demand/supply
Buyer B1 B2 B3 B4
Value ($) 10 8 6 4
Seller S1 S2 S3 S4
Cost ($) 3 5 7 9
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Supply-Demand10
876
5
3
1 2 3 4
Supply Curve
Demand Curve
Equilibrium Price (p*)
0Q
P
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Comp. Eqm. (CE)• Maximizes total surplus, $10: assume p* = 6.5
Buyer B1 B2 B3 B4
Surplus ($) 3.5 1.5 0 0
Seller S1 S2 S3 S4
Surplus ($) 3.5 1.5 0 0
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Supply-Demand10
8765
3
1 2 3 4
Supply Curve
Demand Curve
0Q
P
Left-behind Agents
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Alternative: X • Trade pairs: B1-S3, B2-S2, B3-S1: p = V+C/2
Buyer B1 B2 B3 B4
Surplus ($) 1.5 1.5 1.5 0
Seller S1 S2 S3 S4
Surplus ($) 1.5 1.5 1.5 0
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Alternative: Y• Trade pairs: B1-S4, B2-S3, B3-S2, B4-S1
Buyer B1 B2 B3 B4
Surplus ($) 0.5 0.5 0.5 0.5
Seller S1 S2 S3 S4
Surplus ($) 0.5 0.5 0.5 0.5
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Comparison• Trade-off: efficiency vs. equality
Allocation CE X Y
Total Surplus 10 9 4
# of Trading Agents 4 (50%) 6 (75%) 8 (100%)
Efficient Yes Yes Yes
Unique Price Yes No No
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Pareto Efficiency• Allocation z is called Pareto efficient if and only if, for any
other feasible allocation z’, the followings hold:
• if somebody becomes better off under z’, then
• there must exists a person who is worse off.
• Feasibility: allocation must be achieved through mutually profitable transactions. (no one just receives/gives good alone or money alone or both from the initial endowment.)
• Preferences: larger surplus is better (unit demand).
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Why are X and Y Efficient?• Not Pareto dominated by CE.
Buyer B1 B2 B3 B4
Surplus ($) 3.5 1.5 0 0
Seller S1 S2 S3 S4
Surplus ($) 3.5 1.5 0 0
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Redistribution• Transfer from B1 to B3&B4, S1 to S3&S4.
Buyer B1 B2 B3 B4
Surplus ($) 3.5 1.5 0 0
Seller S1 S2 S3 S4
Surplus ($) 3.5 1.5 0 0
$0.5
$0.5
$1.5
$1.5
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Not PE with Redistribution• CE + side payment Pareto dominates X & Y.
Buyer B1 B2 B3 B4
Surplus ($) 1.5 1.5 1.5 0.5
Seller S1 S2 S3 S4
Surplus ($) 1.5 1.5 1.5 0.5
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Main Result (again)• I consider homogenous good markets, assuming that
• (i) each buyer/seller has a unit demand/supply, and
• (ii) redistribution (by the third party) is infeasible.
• Show that competitive market minimizes the # of trades.
• The quantity of goods traded under the competitive market equilibrium is minimum among all feasible allocations that are Pareto efficient and individually rational. (given assumptions (i) and (ii))
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Discussion• Why focusing on # of trades or trading agents?
• # looks relevant in some market, e.g., labor market.
• Benchmark: how market economy works without redistribution.
• How to implement alternative allocations?
• Future research: through decentralized mechanisms?
• Any implications to positive analysis (of imperfect market)?
• Matching services, middle-men, social custom, etc.
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Market Experiments• Chamberlin (1948) vs. Smith (1962)
• In Chamberlin, buyers and sellers engage in bilateral bargaining, transaction price is recorded on the blackboard as contracts made; single period.=> Imperfect market: Excess quantities
• In Smith’s double auctions, each trader’s quotation is addressed to the entire trading group one quotation at a time; multiple periods (learning).=> Converge to perfectly competitive market
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Chamberlin (1948)
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Excess Quantity• Chamberlin’s excess quantity puzzle:
• Sales volume > equilibrium quantity => 42/46
• Sales volume = equilibrium quantity => 4/46
• Sales volume < equilibrium quantity => 0/46
• Our results may account for Chamberlin’s puzzle.
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Matching Market• 2 doctors, 2 hospitals
• Unique Stable Matching: D1-H1 (D2, H2 single)
• An Alternative: D1-H2, D2-H1 <= PE and IR
=> All agents find their mates under non-stable outcome.
Agent D1 D2 H1 H2
1st H1 H1 D1 D1
2nd H2 - D2 D2
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Rural Hospitals• 2 doctors, 2 hospitals (H2: rural hospital)
• Unique Stable Matching: D1-H1 (D2, H2 single)
• An Alternative: D1-H2, D2-H1 <= PE and IR
=> Pursuing stability has a risk of reducing the number of pairs.
Agent D1 D2 H1 H2
1st H1 H1 D1 D1
2nd H2 - D2 D2
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Another Market• 2 doctors, 2 hospitals
• Unique Stable Matching: D1-H2, D2-H1
• An Alternative: D1-H1 (D2, H2 single) <= PE and IR
=> All agents find their mates under stable outcome.
Agent D1 D2 H1 H2
1st H1 H1 D2 D1
2nd H2 - D1 D2
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Stability <=> Equality• 2 doctors, 2 hospitals
• Unique Stable Matching: D1-H2, D2-H1
• An Alternative: D1-H1 (D2, H2 single) <= PE and IR
=> Stability is not always incompatible with equality.
Agent D1 D2 H1 H2
1st H1 H1 D2 D1
2nd H2 - D1 D2
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Last Remarks• Should we aim to design/achieve “competitive” market?
• YES: Efficiency — the greatest happiness
• NO: Equality — of the minimum number
• Trade-off: efficiency vs. equality
• Redistribution is crucial when market is competitive.
• Imperfect markets may achieve equitable allocations.
=> May better consider equitable market design.
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New!
Many Thanks :)Yosuke YASUDA | Osaka University
Any comments and questions are appreciated.
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