Demonstration 1 of 4
Who pays for capacity?
Which users should pay for the capacity a utility builds?
Capacity is built for the period that fills it. When only the peak constraint binds, peak users carry the whole capacity cost and off-peak users pay operating cost alone.
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Off-peak demand is q_O = 100 - p_O and peak demand q_P = 160 - p_P. Operating cost is 20 a unit and each unit of shared capacity K costs the capacity cost shown.
Predict first. If capacity cost rises from 40 to 60, does the efficient off-peak price change?
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Constructed example: the chapter's hypothetical utility (demands 100 - p and 160 - p, cost 20, capacity cost 40, uniform price 40); capacity costs 20 and 60 are added.
Calculated values
- Off-peak price p_O
- 20
- Peak price p_P
- 60
- Off-peak quantity q_O
- 80
- Peak quantity q_P
- 100
- Capacity K
- 100
- Idle off-peak capacity
- 20
Only the peak constraint binds, so off-peak users pay operating cost, p_O = 20, and peak users also pay for capacity, p_P = 20 + 40 = 60. Then q_O = 100 - 20 = 80 and q_P = 160 - 60 = 100, so K = 100. Idle off-peak capacity is 100 - 80 = 20, so another off-peak unit triggers no investment.
Worked steps
- p_O = 20
- p_P = 20 + 40 = 60
- q_O = 100 - 20 = 80
- q_P = 160 - 60 = 100
- K = 100
- Idle = 100 - 80 = 20
Use the idea
When a network is congested at some hours and idle at others, charge the busy hours for the capacity they require rather than spreading it evenly.
Where the conclusion applies
Two periods of equal length, linear demands, constant costs and a firm peak. If the off-peak quantity exceeded peak capacity, both periods would share the capacity cost.
Check your understanding: With capacity cost 20, how much capacity does the efficient tariff require?
Chapter 37 source: section "Peak-load pricing".
Demonstration 2 of 4
Is one network cheaper than two?
Does one firm serve the whole market more cheaply than several?
With a large fixed cost and constant marginal cost, every extra firm duplicates the fixed cost, so one firm is cheapest. With congestion, a split can save more than it duplicates.
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Demand is 100 units, split equally among the active firms. C(q) is each firm's cost: a fixed-cost technology or one with congestion. Subadditivity means one firm's cost is below any split's.
Predict first. Under congestion, does splitting into four firms keep lowering cost?
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Constructed example: the chapter's hypothetical district network (demand 100, both cost functions, one and two firms); the four-firm split is added.
Calculated values
- Output per firm
- 100.00
- Cost per firm
- 300.00
- Industry cost
- 300.00
- One-firm cost
- 300.00
- Difference from one firm
- 0.00
With C(q) = 100 + 2q and 1 firm each serving 100.00, each firm costs 100 + 2 x 100.00 = 300.00, and the industry pays 1 x 300.00 = 300.00. This is the single-firm benchmark.
Worked steps
- q = 100 / 1 = 100.00
- Cost per firm = 100 + 2 x 100.00 = 300.00
- Industry = 1 x 300.00 = 300.00
- One firm = 300.00; difference 0.00
Use the idea
Judge natural monopoly by comparing the cost of one supplier with the cost of realistic splits at the actual demand, not by counting firms.
Where the conclusion applies
Equal splits of a fixed demand and identical cost functions. The book also notes a 60 to 40 linear split costs 400, the same as an equal split.
Check your understanding: With linear cost, what does a three-firm split cost?
Chapter 37 source: section "Natural monopoly by subadditivity".
Demonstration 3 of 4
Ramsey fares versus a uniform markup
How should a transit authority spread the markups it needs to break even?
Inverse-elasticity pricing puts higher markups where demand responds least, which raises the money with fewer lost trips. When elasticities are equal there is nothing to exploit.
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Both trip types cost $2 and start at 1,000 trips. m_C and m_L are markups over cost; they must raise $900. |e_C| is the commuter elasticity and the leisure elasticity is 2. Lost trips use a small-change approximation and deadweight loss is one half of markup times lost trips.
Predict first. As commuter demand becomes as elastic as leisure demand, what happens to the gap between Ramsey and uniform deadweight loss?
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Constructed example: the chapter's hypothetical transit fares (cost $2, 1,000 trips each, $900 target, elasticities 0.5 and 2, uniform 0.45); a commuter elasticity of 1 is added.
Calculated values
- Commuter markup m_C
- 0.72
- Leisure markup m_L
- 0.18
- Commuter fare
- $2.72
- Leisure fare
- $2.18
- Commuter trips lost
- 180.0
- Leisure trips lost
- 180.0
- Deadweight loss
- $81.00
Markups must sum to 900 / 1,000 = 0.90 and inverse elasticity sets m_C / m_L = 2 / 0.5 = 4, so m_C = 0.72 and m_L = 0.18. Lost trips are 0.5 x (0.72 / 2) x 1,000 = 180.0 and 2 x (0.18 / 2) x 1,000 = 180.0. Deadweight loss is 0.5 x 0.72 x 180.0 + 0.5 x 0.18 x 180.0 = 64.8000 + 16.2000 = 81.0000, about $81.00.
Worked steps
- m_C + m_L = 900 / 1,000 = 0.90
- m_C / m_L = 2 / 0.5 = 4: m_C = 0.72, m_L = 0.18
- Lost commuter trips = 0.5 x 0.360 x 1,000 = 180.0
- Lost leisure trips = 2 x 0.090 x 1,000 = 180.0
- DWL = 64.8000 + 16.2000 = 81.0000
Use the idea
When a regulated service must cover a deficit, compare the trips or sales lost under each markup plan, not just the revenue raised.
Where the conclusion applies
Small-change approximation, equal initial prices and quantities, and constant elasticities. The book's figures are approximate; large markups would need the full demand curves.
Check your understanding: At commuter elasticity 1, what is the Ramsey commuter markup?
Chapter 37 source: section "Ramsey-Boiteux pricing".
Demonstration 4 of 4
A price ceiling, the shortage, and the queue
What does a binding price ceiling cost once queuing is counted?
A ceiling below the clearing price cuts the quantity supplied, so trades worth more than their cost never happen; the hatched triangle is that loss. Queuing burns more surplus on top of it.
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Demand Q_D = 120 - 2p and supply Q_S = 3p clear at p* = 24 and Q* = 72. Inverse demand is p_D(q) = 60 - q/2. Surplus assumes the supplied units go to the buyers who value them most; queue and search cost is time spent getting them.
Predict first. Does raising the ceiling from 12 to 18 halve the shortage?
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Constructed example: the chapter's hypothetical controlled market (Q_D = 120 - 2p, Q_S = 3p, ceilings 12 and 30, queue cost $300); ceilings of 18 and 24 are added, with the same $300 queue cost at 18.
Calculated values
- Quantity demanded
- 96
- Quantity supplied
- 36
- Shortage
- 60
- Marginal willingness to pay
- $42
- Surplus with best allocation
- $1,620
- Lost to the ceiling
- $540
- Queue and search cost
- $300
- Realized surplus
- $1,320
At the ceiling of 12, demand is 120 - 2 x 12 = 96 and supply 3 x 12 = 36, a shortage of 60. Buyers value the last unit at 60 - 36/2 = 42, so resale could carry a premium up to 42 - 12 = 30. Surplus on 36 units is 60 x 36 - (5/12) x 36^2 = 1,620, against 2,160 at Q* = 72, a loss of 540. Queuing and search worth $300 cut realized surplus to 1,620 - 300 = $1,320, $840 below the benchmark.
Worked steps
- Q_D = 120 - 2 x 12 = 96; Q_S = 3 x 12 = 36
- Shortage = 96 - 36 = 60
- p_D(36) = 60 - 36/2 = 42
- Surplus = 60 x 36 - (5/12) x 36^2 = 2,160 - 540 = 1,620
- Lost = 2,160 - 1,620 = 540
- Realized = 1,620 - 300 = 1,320
Use the idea
When judging a price cap, count the lost trades and the time buyers spend competing for the available units, not only the lower price paid.
Where the conclusion applies
Linear schedules, the best possible allocation of the units supplied, and a fixed queue cost when the ceiling binds. A nonbinding ceiling creates no queue.
Check your understanding: At a ceiling of 18 with frictionless allocation, how much surplus is lost relative to 2,160?
Chapter 37 source: section "Price Controls, Rationing, and Black Markets".