holmstrom(1979)_ppt.pdf

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  • Moral Hazard and Observability

    Bengt Holmstrom

    The Bell Journal of Economics (1979)

  • Overview

    Studies Moral Hazard problem when agents effort is unobserved.

    Shows the optimal sharing rule is second best.

    Using signals other than payoff improve welfare.

    The signal has positive value regardless of its noise.

    Findings have wide-ranging implications.

    2/23/2015 Goizueta Business School 2

  • Introduction

    Consider an agent A works for a principal P.

    Outcome determined by As effort and a shock.

    Agents wage depends on the outcome.

    Effort brings disutility to agent, wage paid brings disutility to principal [principal-agent problem].

    If effort observed along with outcome, can be contracted away.

    Usually called the first-best solution.

    2/23/2015 Goizueta Business School 3

  • Introduction

    If not observed, we have info asymmetry. Optimal solution is second-best.

    Solution: Use (imperfect) signals to estimate effort.

    In this paper: Derive optimal sharing under asymmetry.

    Optimal solution with additional signal.

    When is additional information useful?

    2/23/2015 Goizueta Business School 4

  • Parameters

    a - Agents action

    random state of nature

    x = x(a,) monetary outcome/payoff

    F(x) cdf of x induced by

    G(w) Principals utility function over wealth

    H(w,a) Agents utility function

    H Agents reservation utility

    s(x) Share of x that goes to Agent

    2/23/2015 Goizueta Business School 5

  • Assumptions

    Additively separable utility of agent: H(w,a) = U(w) V(a), V > 0.

    Payoff increases in agents effort: xa >= 0.

    Above assn. => Fa(x,a)

  • Timeline

    Principal offers a contract s(x).

    If agent accepts, he puts an effort a before known.

    a and one realization of determine outcome x.

    Agent gets his share s(x), principal gets x-s(x).

    If contract specifies other contingencies y, then agent gets s(x,y).

    2/23/2015 Goizueta Business School 7

  • Payoff Alone Observed

    Principals utility maximization:

    Using the distribution of x:

    Without this, we have

    the first best

    optimum. If effort not

    observed perfectly,

    we assume Agent

    maximizes his utility.

    2/23/2015 Goizueta Business School 8

  • Payoff Alone Observed

    Usual optimization yields:

    The paper shows that > 0 (Prop 1), second-best solution is strictly inferior to first-best (Cor 2)

    Need to provide incentives for increased effort, so deviation from first-best.

    x is used as signal to infer a, so dependence on x!

    If a is better observed, can move towards first-best!

    Second best

    solution.

    When = 0, we

    get the first best.

    2/23/2015 Goizueta Business School 9

  • An Example

    a is repairmans effort, x monetary payoff = length of time the machine remains operative.

    G w =w, U w =2 w, V a =a2, x~exp(1a

    )

    Optimal sharing rule: = [ +

    2]2

    And, = a3, a given by 4a3 + 2a = 1

    First best solution: s(x)= 2, a = (2)

    -1

    Taking = , we get the following graph:

    2/23/2015 Goizueta Business School 10

  • An Example

    Marginal return

    from effort < 0

    Marginal return

    from effort > 0

    Welfare measure=0.75

    Welfare measure=0.56

    2/23/2015 Goizueta Business School 11

  • With Additional Information

    y is a signal observed by both parties.

    Optimal sharing rule s(x,y) given by:

    For the same outcome x, different realizations of y give different payoff to Agent.

    For a given y, if we infer less about a from x, deviation from first-best should be minimum.

    Dont penalize for actions beyond control of Agent.

    2/23/2015 Goizueta Business School 12

  • Example

    Prob(failure) outside repairmans control ~ exp(1/k)

    x ~ exp(1/a) and independent of above

    If we cannot identify failure source, then:

    If we can:

    1 > 2 => costly to induce a particular action a when y cannot be observed.

    2/23/2015 Goizueta Business School 13

  • When is information valuable?

    Can we use some r.v. y always to improve contracts?

    Signal y is valuable if following is false:

    Equivalently,

    Above condition => x is a sufficient statistic for (x,y) w.r.t parameter a.

    x has all info about a and y adds nothing to it.

    Prop 3: If y is informative, s(x,y) strictly Pareto dominates s(x).

    Efficiency gains independent of noisiness in y.2/23/2015 Goizueta Business School 14

  • Summary

    When only payoff is observed, contracts are less efficient.

    Adding informative signal improves the contract. Provides same incentives for effort with less loss of risk-

    sharing benefits.

    Explains complexity of real world contracts

    Further improvement possible by using y only when outcome really bad. (Conditional Informative)

    Results robust when agent adjusts a based on expectation about .

    2/23/2015 Goizueta Business School 15

  • Implications

    Managers are not held responsible for events one can observe are outside their control.

    Their performance is always judged against information about what should be achievable given the current economic situation (this is the additional signal here).

    Similarly, when a natural disaster destroys the crop, farmers should not be held responsible for the outcome (beyond optimal risk sharing).

    2/23/2015 Goizueta Business School 16