The Encyclopedia of Economic Principals

Chapter 6

Welfare Theorems, Efficiency, and the Second Best

Test changes against everyone's starting point, and count the distortions a policy leaves in place.

Four of the chapter's worked examples, made interactive: trades toward the Pareto frontier, the deadweight triangle of a tax, a second-best transit subsidy, and a safety mandate that a market with hidden action will not supply.

Every example here is a constructed teaching example: it uses the hypothetical numbers of the chapter's worked examples, plus a few values added for comparison and labelled as such in each panel. Nothing here measures a real market, firm or household.

Demonstration 1 of 4

Trading toward the Pareto frontier

Which reallocations of bread and cheese make someone better off without hurting anyone?

A values bread twice as much as cheese and B the reverse, so each swap raises both utilities. The corner where A has all the bread and B all the cheese is efficient: any further move hurts someone.

Equation, written in LaTeX: u_A=2b_A+c_A,

Equation, written in LaTeX: u_B=b_B+2c_B.

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b is loaves of bread and c wedges of cheese; there are 8 of each. Both start with (4, 4). One swap moves one cheese wedge from A to B and one loaf from B to A.

Predict first. After 2 swaps, does an unpaid loaf grab still fail the Pareto test?

Your prediction

Choose an example

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Figure: Trading toward the Pareto frontier. Edgeworth box of 8 loaves and 8 wedges. A's bundle is (5, 3); utilities are 13 for A and 13 for B.
Cheese-for-loaf swaps: 1, A also takes one loaf unpaid: No
Constructed example: the chapter's hypothetical bread and cheese economy (0, 1 and 4 swaps and the unpaid loaf); 2 swaps and grabs after swaps are added for comparison.

Calculated values

A holds (bread, cheese)
(5, 3)
B holds (bread, cheese)
(3, 5)
u_A
13
u_B
13
Pareto improvement on (4, 4)
yes

After 1 swap of one cheese wedge for one loaf. A holds (5, 3) so u_A = 2 x 5 + 3 = 13; B holds (3, 5) so u_B = 3 + 2 x 5 = 13. Against 12 and 12 at the start this is a Pareto improvement: both gain.

Worked steps

  1. A: 2 x 5 + 3 = 13 (change +1)
  2. B: 3 + 2 x 5 = 13 (change +1)
  3. Pareto improvement: yes

Use the idea

A Pareto test compares each person with their own starting point; it never adds one person's gain to another's loss.

Where the conclusion applies

Linear utilities, fixed totals and a comparison against the starting allocation only. Pareto efficiency says nothing about fairness.

Check your understanding: After 2 swaps without a grab, what are both utilities?
A at (6, 2): 2 x 6 + 2 = 14. B at (2, 6): 2 + 2 x 6 = 14.

Chapter 6 source: section "Pareto criterion".

Demonstration 2 of 4

Tax wedge and the surplus triangle

How much surplus does a parking tax destroy, and when does avoided congestion make up for it?

The tax cuts trades whose value exceeded their cost; the lost surplus on those trades is the triangle. Revenue is a transfer, not a loss. If each visit also harms others, the avoided harm can outweigh the triangle.

Equation, written in LaTeX: P_D=20-0.10Q,

Equation, written in LaTeX: P_S=4+0.10Q,

Equation, written in LaTeX: (20-0.10Q)-(4+0.10Q)=4,

Equation, written in LaTeX: \frac{1}{2}(\$4)(2{,}000)=\$4{,}000.

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P is dollars per visit and Q hundreds of daily visits. The tax drives a wedge between the buyer price and the seller price. Damage is the congestion cost each visit imposes on others.

Predict first. With $3 of damage per visit, is a $6 tax better or worse than a $4 tax?

Your prediction

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Figure: Tax wedge and the surplus triangle. Parking market with a $4 tax: 6,000 visits, buyers pay $14, sellers get $10, deadweight triangle $4,000.
Tax per visit ($): $4, Congestion damage per visit ($): $0
Constructed example: the chapter's hypothetical parking market ($4 tax, $3 damage); taxes of $2 and $6 are added for comparison.

Calculated values

Visits
6,000
Buyer price
$14
Seller price
$10
Tax revenue
$24,000
Consumer surplus
$18,000
Producer surplus
$18,000
Deadweight loss
$4,000
Avoided damage
$0
Net gain over no tax
-$4,000

With a tax of 4, 20 - 0.10Q - (4 + 0.10Q) = 4 gives Q = 60 hundred, 6,000 visits. Revenue is 4 x 6,000 = $24,000. The triangle is 0.5 x 4 x 2,000 = $4,000. Damage of 0 per visit avoided on 2,000 visits is $0, so against no tax the result is a net social loss of $4,000.

Worked steps

  1. Q = (16 - 4) / 0.20 = 60 hundred
  2. Buyer price = 20 - 0.10 x 60 = 14; seller price = 10
  3. Revenue = 4 x 6,000 = 24,000
  4. DWL = 0.5 x 4 x 2,000 = 4,000
  5. Avoided damage = 0 x 2,000 = 0
  6. Net = 0 - 4,000 = -4,000

Use the idea

Judge a tax by the triangle plus any external cost it removes, not by revenue.

Where the conclusion applies

Linear schedules, a constant damage per visit and no costs of collecting the tax.

Check your understanding: With a $6 tax and $3 damage, what is the net social gain over no tax?
Q = 5,000; DWL = 0.5 x 6 x 3,000 = 9,000; avoided damage 3 x 3,000 = 9,000; net gain 0.

Chapter 6 source: section "Deadweight loss".

Demonstration 3 of 4

Subsidizing the train when roads cannot be priced

When roads cannot be priced, does a distorting transit subsidy raise welfare?

When one distortion cannot be removed, adding another can raise welfare. The subsidy pays off through the road externality it reduces, but financing it has its own cost.

Equation, written in LaTeX: \$12-\$6-\$2=\$4.

Equation, written in LaTeX: \$12-\$6-\$2-\$6=-\$2.

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A car trip imposes $12 of congestion on others. Moving it to the train costs the operator $6 and the traveler $2 of convenience. An $8 subsidy induces the switch; each subsidy dollar costs lambda dollars of surplus to raise.

Predict first. At what cost per subsidy dollar does the subsidy break even?

Your prediction

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Figure: Subsidizing the train when roads cannot be priced. Waterfall of one trip moved from car to train: congestion saved 12, operating cost 6, convenience 2, cost of funds 0, net 4.
Cost per subsidy dollar: 0, Road toll available: No
Constructed example: the chapter's hypothetical commuter (cost of funds 0 and 0.75, the $12 toll); 0.25 is added for comparison.

Calculated values

Cost of funds
$0
Net welfare per trip
$4
Break-even cost per subsidy dollar
0.50
Road toll
no

Net welfare = 12 - 6 - 2 - 0 x 8 = 4, so society gains $4 per trip. The subsidy breaks even when the cost per dollar is 4 / 8 = 0.50.

Worked steps

  1. Resource gain = 12 - 6 - 2 = 4
  2. Cost of funds = 0 x 8 = 0
  3. Net = 4 - 0 = 4

Use the idea

Before copying a first-best rule such as marginal cost pricing, ask which other distortions are fixed and what the policy's financing costs.

Where the conclusion applies

One trip, constant per-trip values and a subsidy that is a pure transfer apart from its financing cost.

Check your understanding: With a cost of funds of 0.25, what is net welfare from the subsidy?
12 - 6 - 2 - 0.25 x 8 = 2 per trip.

Chapter 6 source: section "General theory of second best".

Demonstration 4 of 4

A safety mandate that markets will not supply

Why does no insured driver pay for safety alone, and when does a mandate fix it?

Because the insurer cannot see the action, a driver who acts shares the saving with 99 others and keeps only 0.06. A rule that everyone must act, or a way to observe action, captures the full saving.

Equation, written in LaTeX: \frac{\$6}{100}=\$0.06.

Equation, written in LaTeX: 100(\$3)+100(0.04)(\$100)=\$700.

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100 fully insured drivers face a $100 loss. A hidden $3 action cuts accident probability from 0.10 to 0.04. Insurers charge the pool's expected claim per driver.

Predict first. With an enforcement cost of $2 per driver, is the mandate still worthwhile?

Your prediction

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Figure: A safety mandate that markets will not supply. Stacked bars of the pool's real cost: 1,000 with no policy against 700 under mandate.
Policy: Mandate, Enforcement cost per driver ($): $0
Constructed example: the chapter's hypothetical insurance pool (no policy, mandate, telematics, enforcement 0 and 4); enforcement of 2 is added for comparison.

Calculated values

Pool real cost
$700
Premium per driver
$4
Gain over no policy
$300
Premium cut from acting alone
$0.06

Real cost = 100 x 3 + 100 x 0.04 x 100 + 100 x 0 = 700, against 1,000 with no policy: a gain of $300.

Worked steps

  1. Prevention = 300
  2. Accident loss = 100 x 0.04 x 100 = 400
  3. Enforcement = 0
  4. Total = 300 + 400 + 0 = 700
  5. Gain = 1,000 - 700 = 300

Use the idea

When a market's prices cannot reflect a hidden action, compare a rule's resource saving with its enforcement cost.

Where the conclusion applies

Identical drivers, full insurance, competitive premiums and a standard that works exactly like the hidden action.

Check your understanding: What is the pool's real cost under the mandate with enforcement of $2?
300 + 400 + 200 = 900, below 1,000, so still a $100 gain.

Chapter 6 source: section "Greenwald-Stiglitz constrained inefficiency".