Incentive Contracts

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Incentive Contracts

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Title: Incentive Contracts


1
Incentive Contracts
2
A story ...
  • Your car breaks down near an outback town. After
    beginning work on the car a mechanic might tell
    you that you will need a new radiator and it will
    cost 500. You cannot tell if this is true or
    not.
  • When those with critical information have
    interests different from those of the decision
    maker, they may fail to report completely and
    accurately the information needed to make good
    decisions.
  • If the mechanic is lying, your interests and
    those of society are harmed -- resources are
    wasted.

3
A quick fix ...
  • Suppose you buy the radiator then 200 kilometers
    down the road you have the same problem. The new
    radiator was not installed correctly and it will
    cost you time and money to repair it.
  • When buyers cannot easily monitor the quality of
    the goods or services that they receive, there is
    a tendency for some suppliers to substitute poor
    quality goods or to exercise too little effort,
    care, or diligence in providing the services.
  • Again there is a loss in resources. More time for
    repairs etc.

4
Motivating Agents
  • Why do you need to motivate agents?
  • Conflict of interest
  • Risk of opportunism or moral hazard
  • This is the agency problem
  • Previous lectures ownership as a means of
    motivation when actions non-contractible
  • Some contexts actions are partly observable (or
    verifiable)

5
Moral Hazard
  • Term comes from the insurance industry
  • Form of ex post opportunism differences in
    information distort an agents incentives after
    the transaction is made
  • Examples
  • Health Insurance
  • Insured -- more willing to eat poorly etc.
  • Doctors -- more willing to prescribe treatment
  • Home Insurance -- less willing to install alarms
    and better locks
  • Car Insurance -- take more risks while driving

6
Controlling Moral Hazard
  • Ownership
  • Monitoring
  • Bonding
  • Incentive Contracts

7
Principal-Agent Analysis
  • Basic model two parties
  • Principal on whose behalf work is done by
  • Agent who does the work

8
In-Class Exercise
  • Incentives for Real Estate Agents

9
Details
  • You have a house for sale that may be valued
    anywhere between 475,000 to 525,000. The
    average valuation you have received is 500,000.
  • How should you structure a real estate agents
    commission?
  • E.g., use a flat 2 of the sale price
  • E.g., pay 20 of the increment above 500,000

10
Empirical Evidence
  • Levitt Syverson (2005)
  • Look at house prices of estate agents and compare
    this with what they sell their own house for
  • Own houses sell for 3.7 more and are on the
    market for 9.5 extra days (or 10 longer)
  • Distortion worse when housing stock is
    heterogeneous, less use of internet and where
    buyer does not have their own realtor.

11
Incentive Contracts
  • Reward agents based on realised performance
  • How do you observe performance if cant observe
    effort directly?
  • Indirect measure effort improves some outcomes
    (e.g., in maintenance, reward on frequency of
    machine breakdowns)
  • Use other information to improve knowledge of how
    effort affects outcome

12
Transaction Cost
  • Rewarding agent based on outcomes means they bear
    some uncontrollable risk
  • What if principal is less risk adverse than the
    agent?
  • Need to compensate them for this cost
  • If risks large, may not be worthwhile (value
    maximising) to provide incentives
  • Transaction cost comes from misallocation of risk
    bearing
  • Dilemma insuring against risk is good but this
    undermines ability to give incentives

13
Simple Incentive Contract
  • Many incentive contracts
  • Wage A BX
  • where X is the performance measure, A is a fixed
    wage component and B is a measure of how
    compensation is tied to performance -- e.g., a
    bonus
  • Choose A to encourage agent participation and B
    to provide incentives.

14
Principles of Incentive Contracting
  • Incentive Intensity Principle
  • Informativeness Principle
  • Monitoring Intensity Principle
  • Equal Compensation Principle

15
Incentive Intensity Principle
  • When is B likely to be high (high powered
    incentives)?
  • low agent risk aversion
  • low agent effort aversion
  • high marginal contribution of effort
  • relatively noise-free performance measure

16
Applications
  • Supermarket managers profitability of local
    outlet depends on store managers staffing and
    stocking decisions (effort important). Profits
    are easy to measure at store level. Contrast with
    managers of fast food outlets who are not
    measured on store profits (unrelated to effort).
  • CEO and top manager incentives based on share
    market performance. Their decisions affect this
    while those of others in the organisation do not.

17
Informativeness Principle
  • In designing compensation formulas, total value
    is always increased by factoring into the
    determinant of pay any performance measure that
    allows a reduction in the error with which the
    agents choices are estimated and by excluding
    performance measures that increase the error with
    which effort is estimated (for example, because
    they are solely reflective of random factors
    outside the agents control).

18
Sales Commissions
  • z Personal sales effort random element
  • Second indicator (y total demand in country).
    Use this to provide a better predictor of effort.

19
Comparative Performance Evaluation
  • When is it a good idea to base pay on relative
    rather than absolute performance?
  • If variation in individual performance measure is
    based more on a common random element, use
    relative performance
  • If variation in individual performance measure is
    based more on individual random element, use
    absolute performance

20
Monitoring Intensity Principle
  • Suppose that the error variance can be reduced by
    devoting resources to its measurement, e.g.,
    Direct monitoring.
  • Comparing two contracts, one where pay is more
    sensitive to performance and the other less so,
    we find that more resources are spent on
    measurement for the more sensitive contract
    when the plan is to make the agents pay very
    sensitive to performance, it will pay to measure
    that performance carefully.
  • Therefore, incentive intensity and monitoring are
    complements an increase in the marginal returns
    to profitability or a fall in the marginal costs
    of effort leads to more of both.

21
Equal Compensation Principle
  • If an employees allocation of time or attention
    between two different activities cannot be
    monitored by the employer, then either the
    marginal rate of return to the employee from time
    or attention spent in each of the two activities
    must be equal, or the activity with the lower
    marginal rate of return receives no time or
    attention.
  • Example incentives for teachers

22
Multi-Dimensional Effort
  • Not just more but the right type of effort
  • Teachers
  • Physicians
  • Salespeople rewards sales but at the expense of
    building long-term client relationships
  • May be better to remove incentives altogether

23
Balancing Incentives
  • Research in pharmaceutical industry
  • Cockburn, Henderson and Stern note that
    researchers need to do two things - generate
    immediately useful output (patents) and invest in
    fundamental knowledge (conferences etc.)
  • Use internal capital market to reward the former
    (funding based on patents) and promotion policies
    on the latter
  • Find if have strong incentives in one, have
    strong incentives in the other and vice versa

24
Case
  • Safelite Auto Glass

25
Safelite Glass Corporation
  • Located in Columbus, Ohio
  • Largest installer of automobile glass in the US
  • 1994 CEO Garen Staglin and President John Barlow
    instituted a new compensation scheme for glass
    installers
  • A very competitive industry so costs and
    productivity really matters to get prices down
    and response time up

26
Previous System
  • Paid an hourly wage rate and overtime
  • Did not vary with number of windows installed
  • Installers job is monitored and they are
    required to meet minimum quality standards
  • Managers were worried that installers just did
    the minimum number of windows per week to keep
    their jobs installers thinking about leaving the
    firm might slow work even further

27
New System
  • Installers would be paid each week the maximum
    of
  • Amount they would have made according to the old
    hourly wage system
  • A fixed amount per job completed
  • The piece rate was set so that an installer doing
    an average number of jobs per week would be
    better off under the old formula
  • So enterprising installers could do a lot better

28
Outcomes
  • Increased productivity per worker
  • Number of windows installed per week increased by
    44
  • Came from 20 increase in rates on new scheme
  • Reduction in turnover among most productive
    workers
  • Changed behaviour
  • Technicians didnt drive as far for a job
  • Checked they had parts at beginning of day
  • Maintained tools
  • Unit labour costs fell from 44.43 to 35.24 per
    window
  • Average compensation per worker rose but
    productivity rose by more
  • 2/3s relying on PPP rate and others on
    guaranteed rate

29
Issues
  • Problem of quality
  • Forced to re-installed own work without pay
    before they could take on other jobs
  • If not available, transferred PPP pay to other
    installer
  • Problem of customer service
  • Created League of Superheroes for installers
    achieving high rates, got an extra 0.50 - 2 per
    job (called Power Bucks) for a high customer
    service rating (simple question).

30
Morals
  • Difficult to use objective performance measures
    to create ideal incentives
  • Efficient bonus rates are consequently often
    small
  • In multi-task settings, require a balanced set of
    incentives with instruments ranging from cash
    payments to indirect policies such as promotion
  • Perhaps subjective performance measures would be
    better
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