Lecture 4 - Agency Theory Flashcards

1
Q

Agency Theory

Behavioral assumptions

A
  • Complete rationality
  • Opportunistic behavior
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2
Q

Agency Theory

Contracts

A

Complete contracts
* All observable information is contained in the contract
* All observable information is also verifiable

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3
Q

Assumptions about the Principle & Agent

A
  • Principle
    o Uninformed
    o Risk-neutral
    o Profit depends on agent’s effort
    o All bargaining power (there are many As but one P)
  • Agent
    o Informed and imperfectly observed
    o Risk-averse
    o Disutility of effort and choose level of effort
    o Has an opportunity cost
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4
Q

Focus of Agency Theory

A
  • Problems
    o Uncertainty
    o Asymmetric information
    o Risk-averse agent
  • Solutions
    o Incentives
    o Monitoring
    o Job design
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5
Q

Ingredients in the Principle-Agent Problem

A
  • An available surplus
    • From interacting
  • A conflict of interests
    • Effort of agent
    • Risk on agent
  • Asymmetric information
    • Agent has superior information
  • (Uncertainty)
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6
Q

Why agency problems arise

A
  • Differences in information
  • Conflict of interest
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7
Q

Types of agency problems

A
  • Moral Hazard / Hidden Action Problem
    • Information asymmetry (effort and nature) is used by the agent in determining his decision because P cannot directly observe if a bad result is due to nature or A’s action
  • Hidden Characteristics Problem / Adverse Selection
    • Decision of A is observable
    • Characteristics of A (capabilities, aversion to effort, risk-aversion) is hidden
    • As will respond differently to the same contract
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8
Q

Moral Hazard

A
  • The agent can engage in post-contractual behavior that affects the utility of both P & A
    (externality)
  • P can only observe an imperfect signal of A’s effort – outcome, not effort
    (control problem)
  • The action A takes spontaneously is not optimal
    (inefficient)
  • Fix: Aligning interests:
    o Moral hazard can be reduced by incentivizing the agent
    (assigning income rights)
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9
Q

3 strategies for handling the agency problem

A
  1. Change the choice possibilities
    o Job decryptions, tasks, what can be done with firm resources
  2. Engage in monitoring
    o Change the information
  3. Provide incentives
    o Change payoffs
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10
Q

How to maximize value in an principal-agent relationship

A

Choosing a combination of α & β
* Incentive intensity: the size of β
* Monitoring intensity: the amount of resources needed to estimate e

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11
Q

Advantages and disadvantages of a high beta

A
  • Advantages
    o Fine when effort has a high incentive elasticity
    o Self-selection: laggards & shirkers stay away
    o Can foster upgrading of skills & knowledge
  • Disadvantages
    o Heterogeneity in the measure
    o Multi-tasking problem, e.g., reduction of helpfulness
    o Difficult to decide the “normal” effort level (i.e., when beta=0)
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12
Q

Monitoring intensity

A
  • Higher monitoring –> reduces the variance Var(x) on the estimate of agent’s effort –> reduced risk on agent –> reduced risk-premium –> increased total value
  • Optimum: marginal benefit of monitoring = marginal cost of monitoring
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13
Q

Participation constraint

A

The agent must earn his opportunity cost for all levels of effort.

The principal considers this when choosing α & β

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14
Q

Incentive Compatibility Constraint

A

P will structure the contract such that A will choose the behavior/effort P desires

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15
Q

Risk-premium depends on

A
  • Degree of risk-aversion
  • Degree of uncertainty
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16
Q

Factors influencing the optimal beta

A
  • Higher sensitivity of P’s payoff to changes in e –> higher beta
  • Stronger risk aversion –> lower beta
  • Larger variance/uncertainty –> lower beta
  • Stronger discretion regarding choice of activities (lower costs) –> higher beta
17
Q

Trade off

A

insuring”/removing risk from the agent VS. giving him incentives
* Stronger incentives –> work harder, but more risk –> higher risk-premium –> happy P, sad A
Destroy value because of risk premium
* Weaker incentives –> work less hard, but lower risk –> lower risk-premium –> sad P, happy A
Destroy value because agent works less

18
Q

How more information can reduce the hidden action problem

A
  • Information intensity principle: Additional information about the circumstances the agent faces can help P estimate e better and reduce error in estimation
  • Monitoring intensity principle: high beta –> high monitoring –> low variance