cost theory and applications. topics to be covered relevant cost cost functions and cost elasticity...
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Cost Theory and Applications
Topics to be covered
• Relevant Cost
• Cost functions and cost elasticity
• Cost estimation
• Economies of Scope
• Learning Curve
1. Relevant Costs- costs that vary with alternatives
2. Sunk costs- costs incurred regardless of alternative. Costs that cannot be recovered (no opportunity value)
3. Incremental cost- costs that change with a change in activity level (output level, investment level, etc.)
· Proper cost measure (long run v. short run) must be tied to the duration of the planning horizon.
· long run- all inputs are variable.
· short run- one or more inputs are fixed.
Consider variable, incremental and marginal costsIgnore sunk costsVariable costs depends on planning horizon
Rail vs Motor Carrier
AFC
AVCAVC
AFC
Price
Rail Motor
Minimum Prices should be based on average variable or marginal costs. Of course, actual prices can be higher. In 1980, Congress defined relevant cost as variable costs.
Example of Defining Relevant Costs
What costs are relevant in multi product firms?
Proposed Madison-Chicago train service?
– Chicago-Madison Train
• Variable cost
• Fixed Cost
• Hiawatha Line- common line costs
– Midwest territory- common territory costs
• Amtrak System- common system costs
All services on a train should cover their direct costs + common train costs.All trains on a line should cover their direct costs + common line costsAll lines in a territory should cover their direct costs + common territory costsAll territories in the system should cover their direct cost + common system costs.
Trains
Lines
Territories
Deriving cost functionsSuppose Price of labor = $40 and Price of capital =
$10/250hpShort Run: Y=1 (HP=250), vary X Q STC Avg Cost 1 10(1) + 40(1) = 50 50 2 10(1) + 40(2) = 90 45 4 10(1) + 40(3) = 130 32 6 10(1) + 40(4) = 170 28 16 10(1) + 40(5) = 210 13 29 10(1) + 40(6) = 250 9 44 10(1) + 40(7) = 290 7 50 10(1) + 40(8) = 330 7 55 10(1) + 40(9) = 370 7Long Run Suppose Optimal X = Y 1 10(1) + 40(1) = 50 50 6 10(2) + 40(2) = 100 17 29 10(3) + 40(3) = 150 5 55 10(4) + 40(4) = 200 4 61 10(5) + 40(5) = 250 4 63 10(6) + 40(6) = 300 5 64 10(7) + 40(7) = 350 5 65 10(8) + 40(8) = 400 6
LRTCSRTC
1 2 4 16 1 6 29 55Q Q
Total Cost $/period Total Cost $/period
Short and Long Run Total Costs
SRTC1
SRTC2LRTC
Quantity
$/Yr
LAC=LRTC/QLMC = dLRTC/dQAFC=TFC/QSAC = SRTC/QSAVC= TVC/QSMC= dSRTC/dQ
TFC
TVC
Unit Cost Curves
$/Q
Quantity
SAV1 SMC1SMC2
SAC2
LAC
LMC
2. Long and Short Run Cost Concepts-
a. long run: all inputs can be varied
Returns to Scale v. long run costs
b. Short run: certain inputs are fixed per time period
Average fixed cost = AFC = total fixed cost/Q
Average variable cost = SAVC = total variable cost/Q
Average total cost = SAC = total cost/Q
Incremental cost = marginal cost = SMC = d total cost/dQ
3. Cost Elasticity = dC/dQ Q/C = Marginal cost/ average cost
a. if cost elasticity < 1, economies of scale in LR
economies of utilization in SR
b. if cost elasticity > 1, diseconomies of scale in LR
diseconomies of utilization in SR
c. If long run cost elasticity = short run cost elasticity, firm has efficient size plant for that output
d. Railroad Example:
Long Run Short Run
Small Railroads .70 .67
Large Railroads .99 .77
Small roads have too little output
Large roads have excess capacity
SMCSMC
SAC
SAC
LAC=LMC
Small RR Large RR
Unit Cost vs. Cost Elasticity
0
1
2
3
4
5
6
7
8
0 5 10 15 20
SRMC2
SRAC2SRMC1
SRAC1
LRAC
$/Q
QUANTITY
Empirical Cost EstimationApproaches
A. Accounting: may involve the following
1. separate fixed and variable costs
2. assign variable portion to output measures, 3. calculate unit costs by dividing assigned cost by output units
4. For a particular product or service, multiple the unit costs by the respective number of units output for that product
B. Engineering
C. Survey or Survivor Techniques
D. Statistical
Engineering Technique
Example: Oil Pipeline
Throughput = f(diameter of pipe, horsepower of engines driving fluids, number of pumping stations)
T2.735 = H D4.735/.01046 or T = k H.37D1.73
where
T = throughput
H = horsepower
D = diameter of pipe
Statistical A. Long Run v. Short Run
Cross sectional v. Time series data
B. Requirements
1. Output Matching - example of deferred maintenance in RR
2. Uniform production with a time period
3. no technological change- might add a time variable to the regression equation
4. no changes in factor prices or inflation
1. deflate by a price index
2. reconstruct costs based on future prices and historic input and output levels
3. include factor prices in the cost function
Long Run and Short Run Costs
0
5
10
15
20
25
30
0 5 10 15 20
ChryslerFord
200020001998 1998
$/Q
Output (Q)
Technical ChangeAdd a time term to the Cost Function
ln Cost = b0 + b1 ln Q + b2 t + e
Q = output
t = time
b2 = the percentage change in cost per year
Adjust for Factor Prices
• Deflate by a price index– Cost / CPI = b0 + b1 Q
• Include factor prices in the Cost Function– ln Cost = b0 + b1 ln Q + b2 ln PL
+ b3 ln PF + b4 ln PK + e
• Reconstitute Costs based on future prices
Production with Two Outputs--Economies of Scope
• Examples:– Chicken farm--poultry and eggs– Automobile company--cars and trucks– University--Teaching and research
Production with Two Outputs--Economies of Scope
• The degree of economies of scope measures the savings in cost can be written:
– C(Q1) is the cost of producing Q1 alone
– C(Q2) is the cost of producing Q2 alone
– C(Q1Q2) is the joint cost of producing both products
)(
)()()C( SC
2,1
2,121
QQC
QQCQCQ
Production with Two Outputs--Economies of Scope
• Interpretation:– If SC > 0 -- Economies of scope– If SC < 0 -- Diseconomies of scope
Example: Economies of Scopein the Trucking Industry
• Issues– TruckLoad versus Less-than-TruckLoad– Direct versus indirect routing– Length of haul
Example: Economies of Scopein the Trucking Industry
• Empirical Findings– Results
• SC = 1.576 for reasonably large firm
• SC = 0.104 for very large firms
– Interpretation• Combining partial loads at an intermediate location
lowers cost management difficulties with very large firms.
Many network industries exhibit economies of scope, density or scale
From Shapiro and Varian, Information Rules One of the most fundamental features of information goods is that their cost of production is dominated by “first copy costs.” In the language of economics, the fixed costs of production are large, but the variable cost of reproduction are small. This cost structure leads to substantial economies of scale: the more you produce, the lower your average cost of production. But there is more to it than just economies of scale, the fixed costs and the variable costs of producing information have a special structure.
The dominant component of the fixed costs of producing information are sunk cost, cost that are not recoverable if production is halted. … Sunk costs generally have to be paid up front, before commencing production.
The variable cost of information production also have an unusual structure: the cost of producing an additional copy typically does not increase, even if a great many copies are made.
These cost structures characterize the airline industry and others but the information goods is an extreme example.
Lessons in Pricing: Don’t get greedy.Play tough
Airline Industry Hubs with Density Economies
LTL truckers tried it but foundit provided too slow servicein regional markets
Old Route Structures Hub and Spoke
Network Effects
• Demand Based
• Value depends upon how many others in the group use the product.