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Mechanism Design Theory: Principles, Applications, and Limits

At a Glance

Title: Mechanism Design Theory: Principles, Applications, and Limits

Total Categories: 5

Category Stats

  • Introduction and Fundamental Concepts: 12 flashcards, 11 questions
  • Implementability and Incentive Constraints: 11 flashcards, 12 questions
  • Optimal Mechanism Design and Screening: 12 flashcards, 17 questions
  • Auction Theory and Public Goods Mechanisms: 7 flashcards, 9 questions
  • Limits of Mechanism Design: 8 flashcards, 10 questions

Total Stats

  • Total Flashcards: 50
  • True/False Questions: 30
  • Multiple Choice Questions: 29
  • Total Questions: 59

Instructions

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Study Guide: Mechanism Design Theory: Principles, Applications, and Limits

Study Guide: Mechanism Design Theory: Principles, Applications, and Limits

Introduction and Fundamental Concepts

Mechanism design is primarily concerned with analyzing the performance of pre-existing economic mechanisms, rather than constructing new ones.

Answer: False

Mechanism design is often described as 'reverse game theory' because it focuses on constructing new rules or mechanisms to achieve desired outcomes, rather than merely analyzing existing ones.

Related Concepts:

  • What is mechanism design, and what other terms are used to describe this field?: Mechanism design, also known as implementation theory or institution design, is a branch of economics and game theory focused on constructing rules (mechanisms) that achieve desirable outcomes, even when players' true preferences or private information are unknown to the designer.
  • How does mechanism design differ from traditional economic theory?: Mechanism design is often characterized as 'reverse game theory' because it starts with a desired outcome and then works backward to identify a game or mechanism capable of achieving it. This contrasts with traditional economic theory, which typically analyzes the performance of a given mechanism.

Leonid Hurwicz, Eric Maskin, and Roger Myerson were jointly awarded the Nobel Memorial Prize for their foundational contributions to mechanism design theory in 2007.

Answer: True

The 2007 Nobel Memorial Prize in Economic Sciences was awarded to Leonid Hurwicz, Eric Maskin, and Roger Myerson for their foundational work in mechanism design theory.

Related Concepts:

  • Which economists were awarded the Nobel Memorial Prize for their foundational work in mechanism design theory?: Leonid Hurwicz, Eric Maskin, and Roger Myerson received the 2007 Nobel Memorial Prize in Economic Sciences for their foundational contributions to mechanism design theory. William Vickrey's related work, which helped establish the field, was recognized with the 1996 Nobel Prize.

In a mechanism design problem, the 'principal' is typically an agent who possesses private information they wish to keep hidden from others.

Answer: False

The principal is the individual who wishes to base their actions on information privately known to the agents, not the one possessing the private information. Agents are the ones with private information.

Related Concepts:

  • What is the role of the 'principal' in a mechanism design problem?: In a mechanism design problem, the 'principal' is an entity that seeks to base decisions on information privately held by the agents (players) of a game. Since direct inquiry for this private information is prone to distortion, the principal designs a game with rules to induce desired agent behavior.
  • Why is it difficult for a principal to obtain truthful information directly from players?: It is challenging for a principal to elicit truthful information directly from agents because agents typically have a self-interest to misrepresent the truth if doing so leads to a more favorable outcome for them.

The revelation principle simplifies mechanism design by allowing the principal to only consider games where agents are incentivized to report their true types.

Answer: True

The revelation principle is extremely useful because it allows the principal to simplify the design problem by only considering games where agents are incentivized to report their true types.

Related Concepts:

  • What is the 'revelation principle' in mechanism design, and why is it important?: The revelation principle asserts that for any Bayesian Nash equilibrium in any given game, an equivalent Bayesian game exists where agents are incentivized to truthfully report their private information. This principle significantly simplifies mechanism design by allowing the principal to focus solely on mechanisms where truthful reporting is an optimal strategy.
  • When is a mechanism considered 'truthfully implementable'?: A mechanism is deemed truthfully implementable if agents find it optimal to report their true type, meaning their reported type aligns with their actual type. The designer's objective is to determine a transfer function that ensures this truthful reporting.

In a typical mechanism design game, agents report their types before the principal commits to a mechanism.

Answer: False

The typical timing of a mechanism design game involves the principal committing to a mechanism first, followed by agents reporting their types, and then the mechanism being executed.

Related Concepts:

  • Outline the typical sequence of events in a mechanism design game.: The typical sequence of events in a mechanism design game involves three stages: first, the principal commits to a mechanism that defines an outcome based on reported types; second, agents report their types (which may or may not be truthful); and third, the mechanism is executed, and agents receive the outcome determined by their reports.

Which of the following terms is NOT used interchangeably with mechanism design?

Answer: Traditional economic analysis

Mechanism design is also known as implementation theory or institution design, and is sometimes described as 'reverse game theory.' Traditional economic analysis is distinct as it typically analyzes existing mechanisms rather than designing new ones.

Related Concepts:

  • How does mechanism design differ from traditional economic theory?: Mechanism design is often characterized as 'reverse game theory' because it starts with a desired outcome and then works backward to identify a game or mechanism capable of achieving it. This contrasts with traditional economic theory, which typically analyzes the performance of a given mechanism.
  • What is mechanism design, and what other terms are used to describe this field?: Mechanism design, also known as implementation theory or institution design, is a branch of economics and game theory focused on constructing rules (mechanisms) that achieve desirable outcomes, even when players' true preferences or private information are unknown to the designer.

Who among the following was NOT awarded the Nobel Memorial Prize for foundational work in mechanism design theory in 2007?

Answer: William Vickrey

Leonid Hurwicz, Eric Maskin, and Roger Myerson were awarded the 2007 Nobel Memorial Prize for their work in mechanism design. William Vickrey received the Nobel Prize in 1996 for his related work, which also contributed to the field.

Related Concepts:

  • Which economists were awarded the Nobel Memorial Prize for their foundational work in mechanism design theory?: Leonid Hurwicz, Eric Maskin, and Roger Myerson received the 2007 Nobel Memorial Prize in Economic Sciences for their foundational contributions to mechanism design theory. William Vickrey's related work, which helped establish the field, was recognized with the 1996 Nobel Prize.

In mechanism design, what is the primary reason a principal cannot simply ask agents for their private information?

Answer: It is typically in agents' self-interest to distort the truth.

It is difficult for a principal to obtain truthful information directly from agents because it is typically in the agents' self-interest to distort the truth or lie if doing so would lead to a more favorable outcome for them.

Related Concepts:

  • What is the role of the 'principal' in a mechanism design problem?: In a mechanism design problem, the 'principal' is an entity that seeks to base decisions on information privately held by the agents (players) of a game. Since direct inquiry for this private information is prone to distortion, the principal designs a game with rules to induce desired agent behavior.
  • Why is it difficult for a principal to obtain truthful information directly from players?: It is challenging for a principal to elicit truthful information directly from agents because agents typically have a self-interest to misrepresent the truth if doing so leads to a more favorable outcome for them.

What does an agent's 'type' refer to in the context of mechanism design?

Answer: Private information, such as preferences or quality of a good.

In mechanism design, an agent's 'type' refers to private information, such as their preferences or the quality of a good for sale, which is secretly received from 'nature.'

Related Concepts:

  • How is an agent's 'type' defined in the context of mechanism design?: In mechanism design, an agent's 'type' (often denoted by the Greek letter theta) refers to private information, such as their preferences or the quality of a good, which is secretly endowed by 'nature.' This information is critical for determining individual payoffs.
  • What does the diagram illustrating mechanism design show regarding the type space and outcome space?: The diagram illustrating mechanism design depicts the upper-left space as the type space (Theta), containing agents' private information, and the upper-right space (X) as the space of possible outcomes. A social choice function maps a type profile to an outcome, and in mechanism design, the equilibrium of a game can be structured to implement this function.

Which of the following correctly describes the typical sequence of events in a mechanism design game?

Answer: Principal commits to mechanism, agents report types, mechanism executed.

The typical timing of a mechanism design game involves three steps: first, the principal commits to a mechanism; second, the agents report their types; and third, the mechanism is executed.

Related Concepts:

  • Outline the typical sequence of events in a mechanism design game.: The typical sequence of events in a mechanism design game involves three stages: first, the principal commits to a mechanism that defines an outcome based on reported types; second, agents report their types (which may or may not be truthful); and third, the mechanism is executed, and agents receive the outcome determined by their reports.

What does y() represent in the context of a mechanism design game's timing?

Answer: The mechanism itself, determining an outcome based on reported types.

In the context of a mechanism design game's timing, y() represents the mechanism itself, which is a function that determines and grants an outcome based on the types reported by the agents.

Related Concepts:

  • What does the notation y() represent in the context of a mechanism design game's timing?: In the context of a mechanism design game's timing, y() denotes the mechanism itself, which is a function that determines and grants an outcome based on the types reported by the agents.

Implementability and Incentive Constraints

A social choice function directly maps reported type profiles to an outcome, including both goods allocation and money transfer.

Answer: False

A social choice function maps the *true* type profile directly to a goods allocation. A mechanism maps the *reported* type profile to an outcome, which includes both goods allocation and money transfer.

Related Concepts:

  • What is the distinction between a social choice function and a mechanism?: A social choice function maps the *true* type profile directly to a goods allocation, representing an ideal outcome under complete information. In contrast, a mechanism maps the *reported* type profile to an outcome, which encompasses both a goods allocation and a money transfer, thereby addressing private information.
  • In the outcome y(theta) = {x(theta), t(theta)}, what do x and t signify?: In the outcome y(theta) = {x(theta), t(theta)}, x represents the allocation of goods (rendered or received), and t represents the monetary transfer. Both are determined as functions of the agent's reported type (theta).

A mechanism is considered truthfully implementable if agents find it optimal to report their true type, which is the designer's goal.

Answer: True

A mechanism is considered truthfully implementable if agents find it optimal to report their true type, meaning their reported type matches their actual type. The goal for the designer is to solve for a transfer function that ensures this truthful reporting.

Related Concepts:

  • When is a mechanism considered 'truthfully implementable'?: A mechanism is deemed truthfully implementable if agents find it optimal to report their true type, meaning their reported type aligns with their actual type. The designer's objective is to determine a transfer function that ensures this truthful reporting.
  • Explain the 'incentive compatibility' (IC) constraint.: The incentive compatibility (IC) constraint is a fundamental condition ensuring that an agent's utility from truthfully reporting their type and receiving the corresponding outcome is greater than or equal to the utility they would obtain from misreporting their type. This constraint is crucial for inducing honest behavior.

The incentive compatibility (IC) constraint ensures that an agent's utility from misreporting their type is always less than or equal to their utility from truthful reporting.

Answer: True

The incentive compatibility (IC) constraint ensures an agent's utility from truthfully reporting their type and receiving the corresponding outcome is greater than or equal to the utility they would receive from misreporting their type.

Related Concepts:

  • Explain the 'incentive compatibility' (IC) constraint.: The incentive compatibility (IC) constraint is a fundamental condition ensuring that an agent's utility from truthfully reporting their type and receiving the corresponding outcome is greater than or equal to the utility they would obtain from misreporting their type. This constraint is crucial for inducing honest behavior.

The participation, or individual rationality (IR), constraint is always a mandatory component of any mechanism design problem.

Answer: False

The participation, or individual rationality (IR), constraint is *sometimes* included in mechanism design, ensuring agents have the option to not participate if the outcome is not at least as good as their outside option.

Related Concepts:

  • What is the 'participation' or 'individual rationality' (IR) constraint?: The participation, or individual rationality (IR), constraint is an optional component in mechanism design. It guarantees that agents have the option to decline participation in the game if the utility or outcome they would receive is less than their outside option or reservation utility.

A necessary condition for a goods allocation to be implementable is that higher agent types must generally be given more of the good to prevent them from misrepresenting as lower types.

Answer: True

Practically, this condition means that agents will only tell the truth if the mechanism offers higher agent types a better deal. Specifically, higher types must generally be given more of the good; otherwise, they would have an incentive to lie and declare themselves as lower types.

Related Concepts:

  • What is the practical interpretation of the implementability necessity condition regarding agent types and goods allocation?: Practically, this condition implies that agents will only report truthfully if the mechanism offers higher agent types a more favorable deal. Specifically, higher types must generally receive more of the good; otherwise, they would be incentivized to misrepresent as lower types, thereby violating the truth-telling incentive-compatibility constraint.
  • What is a necessary condition for a goods allocation to be implementable, assuming specific utility functions?: A necessary condition for a goods allocation to be implementable, particularly with specific utility functions, is that the sum of the partial derivatives of the marginal rate of substitution (MRS) with respect to type, multiplied by the partial derivative of the goods allocation with respect to type, must be non-negative. This condition stems from the first- and second-order conditions of the agent's optimization problem under truth-telling.

The single-crossing condition implies that agents with higher types have a weaker preference for more of the good relative to money.

Answer: False

The single-crossing condition implies that agents with higher types have a *stronger* preference for more of the good relative to money, or are willing to pay more for an additional unit of the good.

Related Concepts:

  • What does the single-crossing condition imply about an agent's utility function?: The single-crossing condition implies that an agent's utility function is structured such that their marginal rate of substitution (MRS) increases with their type. This signifies that agents with higher types possess a stronger preference for additional units of the good relative to money, or are willing to pay more for an incremental unit.

What is the primary difference between a social choice function and a mechanism?

Answer: A social choice function maps true types, while a mechanism maps reported types.

A social choice function maps the *true* type profile directly to a goods allocation, whereas a mechanism maps the *reported* type profile to an outcome, which includes both a goods allocation and a money transfer.

Related Concepts:

  • What does it mean for a mechanism to 'implement' a social choice function?: To implement a social choice function means to design a transfer function such that agents are motivated to behave in a manner where the equilibrium strategy profile under the mechanism yields the same goods allocation that the social choice function would have produced if true types were known.
  • What is the distinction between a social choice function and a mechanism?: A social choice function maps the *true* type profile directly to a goods allocation, representing an ideal outcome under complete information. In contrast, a mechanism maps the *reported* type profile to an outcome, which encompasses both a goods allocation and a money transfer, thereby addressing private information.

What does it mean for a mechanism to 'implement' a social choice function?

Answer: To find a transfer function that motivates agents to achieve the social choice function's goods allocation.

To implement a social choice function means to find a transfer function that motivates agents to behave in a way that the equilibrium strategy profile under the mechanism results in the same goods allocation as the social choice function would have produced if true types were known.

Related Concepts:

  • What does it mean for a mechanism to 'implement' a social choice function?: To implement a social choice function means to design a transfer function such that agents are motivated to behave in a manner where the equilibrium strategy profile under the mechanism yields the same goods allocation that the social choice function would have produced if true types were known.

The incentive compatibility (IC) constraint is fundamental because it ensures:

Answer: Agents find it optimal to report their true type.

The incentive compatibility (IC) constraint is a fundamental condition that ensures an agent's utility from truthfully reporting their type and receiving the corresponding outcome is greater than or equal to the utility they would receive from misreporting their type, thus making it optimal to report truthfully.

Related Concepts:

  • Explain the 'incentive compatibility' (IC) constraint.: The incentive compatibility (IC) constraint is a fundamental condition ensuring that an agent's utility from truthfully reporting their type and receiving the corresponding outcome is greater than or equal to the utility they would obtain from misreporting their type. This constraint is crucial for inducing honest behavior.
  • What is the practical interpretation of the implementability necessity condition regarding agent types and goods allocation?: Practically, this condition implies that agents will only report truthfully if the mechanism offers higher agent types a more favorable deal. Specifically, higher types must generally receive more of the good; otherwise, they would be incentivized to misrepresent as lower types, thereby violating the truth-telling incentive-compatibility constraint.

What is the practical implication of the implementability necessity condition regarding agent types and goods allocation?

Answer: Higher types must generally be given more of the good to ensure truth-telling.

Practically, the implementability necessity condition means that agents will only tell the truth if the mechanism offers higher agent types a better deal, specifically by giving them more of the good; otherwise, they would misrepresent as lower types.

Related Concepts:

  • What is a necessary condition for a goods allocation to be implementable, assuming specific utility functions?: A necessary condition for a goods allocation to be implementable, particularly with specific utility functions, is that the sum of the partial derivatives of the marginal rate of substitution (MRS) with respect to type, multiplied by the partial derivative of the goods allocation with respect to type, must be non-negative. This condition stems from the first- and second-order conditions of the agent's optimization problem under truth-telling.
  • What is the practical interpretation of the implementability necessity condition regarding agent types and goods allocation?: Practically, this condition implies that agents will only report truthfully if the mechanism offers higher agent types a more favorable deal. Specifically, higher types must generally receive more of the good; otherwise, they would be incentivized to misrepresent as lower types, thereby violating the truth-telling incentive-compatibility constraint.

What does the single-crossing condition imply about an agent's marginal rate of substitution (MRS)?

Answer: MRS increases with an agent's type.

The single-crossing condition implies that an agent's utility function is shaped such that their marginal rate of substitution (MRS) increases with their type, meaning higher types have a stronger preference for more of the good relative to money.

Related Concepts:

  • What does the single-crossing condition imply about an agent's utility function?: The single-crossing condition implies that an agent's utility function is structured such that their marginal rate of substitution (MRS) increases with their type. This signifies that agents with higher types possess a stronger preference for additional units of the good relative to money, or are willing to pay more for an incremental unit.
  • What are the two primary assumptions made in mechanism design to ensure implementability?: Mechanism design literature typically relies on two primary assumptions for implementability: first, the single-crossing condition (also known as the sorting or Spence–Mirrlees condition), which posits that an agent's marginal rate of substitution increases with their type; and second, a technical condition that constrains the rate of growth of the marginal rate of substitution.

In the outcome y(theta) = {x(theta), t(theta)}, what does t signify?

Answer: The monetary transfer.

In the outcome y(theta) = {x(theta), t(theta)}, t signifies the monetary transfer, which is determined as a function of the agent's reported type (theta).

Related Concepts:

  • In the outcome y(theta) = {x(theta), t(theta)}, what do x and t signify?: In the outcome y(theta) = {x(theta), t(theta)}, x represents the allocation of goods (rendered or received), and t represents the monetary transfer. Both are determined as functions of the agent's reported type (theta).

Optimal Mechanism Design and Screening

Myerson ironing is a technique used to make non-monotonic allocation schedules monotonic, which is necessary for implementability under certain conditions.

Answer: True

Myerson ironing is a technique used when optimal price and allocation schedules are not monotonic. It is required to flatten any non-monotonic intervals in the schedule to ensure that the incentive compatibility condition is met, as monotonic schedules are necessary for implementability under certain conditions.

Related Concepts:

  • What is 'Myerson ironing,' and why might it be required?: Myerson ironing is a technique employed when optimal price and allocation schedules, derived from first-order conditions, exhibit non-monotonicity. It is necessary to 'flatten' these non-monotonic intervals to ensure the incentive compatibility condition is met, as monotonic schedules are often a prerequisite for implementability.

In Mirrlees's (1971) model for price discrimination, the agent is assumed to have a utility function where the monetary component is non-linear.

Answer: False

In Mirrlees's (1971) model for price discrimination, the agent is assumed to have quasilinear utility, meaning their utility can be expressed as a value derived from the goods minus a monetary transfer, where the monetary component is *linear*.

Related Concepts:

  • In Mirrlees's (1971) model for price discrimination, what type of utility function is assumed for the agent?: In Mirrlees's (1971) model for price discrimination, agents are assumed to possess quasilinear utility, meaning their utility can be expressed as a value derived from goods minus a monetary transfer, where the monetary component is linear.

The principal's objective in Mirrlees's price discrimination setting is to maximize expected profit while knowing the customer's true type.

Answer: False

In Mirrlees's price discrimination setting, the principal aims to maximize expected profit while facing the challenge of *not knowing* the customer's true type.

Related Concepts:

  • What is the principal's objective in Mirrlees's price discrimination setting?: In Mirrlees's price discrimination setting, the principal, typically a monopolist, seeks to maximize the expected profit from transactions. This is achieved by designing a price scheme while contending with the challenge of not knowing the customer's true type and producing goods at a convex marginal cost.

The envelope theorem is used in Mirrlees's model to simplify the principal's problem by eliminating the transfer function from the profit maximization.

Answer: True

Mirrlees (1971) introduced a method using the envelope theorem to eliminate the transfer function from the principal's expected profit maximization problem, allowing the designer to focus on optimizing the allocation of goods directly.

Related Concepts:

  • How does the envelope theorem assist in solving the principal's problem in Mirrlees's model?: Mirrlees (1971) introduced a methodology utilizing the envelope theorem to eliminate the transfer function from the principal's expected profit maximization problem. This simplification allows the designer to concentrate on optimizing the allocation of goods directly, subject to incentive compatibility and individual rationality constraints.

Myerson ironing is applied in price discrimination when the allocation schedule is found to be monotonic, to further optimize it.

Answer: False

Myerson ironing is specifically applied in price discrimination when the allocation schedule that satisfies the first-order conditions is found to be *non-monotonic*, not monotonic.

Related Concepts:

  • When is Myerson ironing specifically applied in the context of price discrimination?: Myerson ironing is specifically applied in price discrimination when the allocation schedule derived from the first-order conditions is found to be non-monotonic. This frequently occurs when the hazard ratio of the type distribution is not monotone, which violates necessary conditions for implementability.

The intuitive reason for 'bunching' types during Myerson ironing is to offer differentiated contracts to a wide range of types.

Answer: False

The intuitive reason for 'bunching' certain types together during Myerson ironing is that the designer finds it optimal to offer the *same* contract to a range of types when differentiation is not optimal.

Related Concepts:

  • What is the intuitive reason for 'bunching' certain types together during Myerson ironing?: The intuitive rationale for 'bunching' certain types together during Myerson ironing is that the designer finds it optimal to offer the same contract to a range of types. This occurs when the marginal benefit of differentiating contracts for higher types is outweighed by the cost of granting 'information rent' (concessions) to lower types to induce their true type revelation.

The proof for Myerson ironing is based on the mathematical theory of optimal control.

Answer: True

The proof for Myerson ironing is based on the mathematical theory of optimal control, a framework used to optimize a system's behavior over time.

Related Concepts:

  • What mathematical theory underpins the proof of Myerson ironing?: The proof for Myerson ironing is grounded in the theory of optimal control, a mathematical framework used to determine a control policy that optimizes a system's behavior over time, subject to specified constraints.

When applying Myerson ironing, the allocation schedule within non-monotonic intervals must be monotonic and the monotonicity constraint must be binding at the interval boundaries.

Answer: False

When applying Myerson ironing using optimal control theory, the allocation schedule within non-monotonic intervals must be monotonic, but the monotonicity constraint must *not* be binding at the boundaries of the interval.

Related Concepts:

  • What two conditions must be satisfied by the allocation schedule within non-monotonic intervals when applying Myerson ironing using optimal control theory?: When applying Myerson ironing via optimal control theory, the allocation schedule within non-monotonic intervals must satisfy two conditions: it must be monotonic, and the monotonicity constraint must not be binding at the boundaries of the interval. This ensures a smooth and consistent schedule.

When is 'Myerson ironing' typically required in mechanism design?

Answer: When the optimal price and allocation schedules are not monotonic.

Myerson ironing is a technique used when the optimal price and allocation schedules derived from first-order conditions are not monotonic, as monotonic schedules are necessary for implementability under certain conditions.

Related Concepts:

  • What is 'Myerson ironing,' and why might it be required?: Myerson ironing is a technique employed when optimal price and allocation schedules, derived from first-order conditions, exhibit non-monotonicity. It is necessary to 'flatten' these non-monotonic intervals to ensure the incentive compatibility condition is met, as monotonic schedules are often a prerequisite for implementability.
  • When is Myerson ironing specifically applied in the context of price discrimination?: Myerson ironing is specifically applied in price discrimination when the allocation schedule derived from the first-order conditions is found to be non-monotonic. This frequently occurs when the hazard ratio of the type distribution is not monotone, which violates necessary conditions for implementability.
  • What mathematical theory underpins the proof of Myerson ironing?: The proof for Myerson ironing is grounded in the theory of optimal control, a mathematical framework used to determine a control policy that optimizes a system's behavior over time, subject to specified constraints.

In Mirrlees's (1971) model for price discrimination, what is the assumed utility function for the agent?

Answer: Quasilinear utility

In Mirrlees's (1971) model for price discrimination, the agent is assumed to have quasilinear utility, meaning their utility can be expressed as a value derived from the goods minus a monetary transfer, where the monetary component is linear.

Related Concepts:

  • In Mirrlees's (1971) model for price discrimination, what type of utility function is assumed for the agent?: In Mirrlees's (1971) model for price discrimination, agents are assumed to possess quasilinear utility, meaning their utility can be expressed as a value derived from goods minus a monetary transfer, where the monetary component is linear.

What is the principal's objective in Mirrlees's price discrimination setting?

Answer: To maximize the expected profit from transactions.

In Mirrlees's price discrimination setting, the principal, often a monopolist, aims to maximize the expected profit from transactions.

Related Concepts:

  • What is the principal's objective in Mirrlees's price discrimination setting?: In Mirrlees's price discrimination setting, the principal, typically a monopolist, seeks to maximize the expected profit from transactions. This is achieved by designing a price scheme while contending with the challenge of not knowing the customer's true type and producing goods at a convex marginal cost.

What real-world scenario is often used to illustrate Mirrlees's price discrimination model?

Answer: An airline setting different fares for various customer segments.

A common real-world scenario used to illustrate Mirrlees's price discrimination model is an airline attempting to set different fares for various customer segments without being able to directly identify each customer's type.

Related Concepts:

  • What real-world scenario is often used as an example for Mirrlees's price discrimination model?: A common real-world illustration for Mirrlees's price discrimination model is an airline attempting to establish differentiated fares for various customer segments, such as business, leisure, and student travelers, without the ability to directly ascertain each customer's type.

How does the envelope theorem assist in solving the principal's problem in Mirrlees's model?

Answer: It eliminates the transfer function from the principal's expected profit maximization problem.

The envelope theorem assists in solving the principal's problem in Mirrlees's model by eliminating the transfer function from the principal's expected profit maximization problem, allowing focus on optimizing goods allocation.

Related Concepts:

  • How does the envelope theorem assist in solving the principal's problem in Mirrlees's model?: Mirrlees (1971) introduced a methodology utilizing the envelope theorem to eliminate the transfer function from the principal's expected profit maximization problem. This simplification allows the designer to concentrate on optimizing the allocation of goods directly, subject to incentive compatibility and individual rationality constraints.

When is Myerson ironing specifically applied in the context of price discrimination?

Answer: When the allocation schedule that satisfies first-order conditions is non-monotonic.

Myerson ironing is specifically applied in price discrimination when the allocation schedule that satisfies the first-order conditions is found to be non-monotonic, often due to a non-monotone hazard ratio of the type distribution.

Related Concepts:

  • When is Myerson ironing specifically applied in the context of price discrimination?: Myerson ironing is specifically applied in price discrimination when the allocation schedule derived from the first-order conditions is found to be non-monotonic. This frequently occurs when the hazard ratio of the type distribution is not monotone, which violates necessary conditions for implementability.

What is the intuitive reason for 'bunching' certain types together during Myerson ironing?

Answer: To offer the same contract to a range of types when differentiation is not optimal.

The intuitive reason for 'bunching' certain types together during Myerson ironing is that the designer finds it optimal to offer the same contract to a range of types when the marginal benefit of differentiating contracts is outweighed by the cost of granting 'information rent' to lower types.

Related Concepts:

  • What is the intuitive reason for 'bunching' certain types together during Myerson ironing?: The intuitive rationale for 'bunching' certain types together during Myerson ironing is that the designer finds it optimal to offer the same contract to a range of types. This occurs when the marginal benefit of differentiating contracts for higher types is outweighed by the cost of granting 'information rent' (concessions) to lower types to induce their true type revelation.

What mathematical theory forms the basis for the proof of Myerson ironing?

Answer: Optimal control theory

The proof for Myerson ironing is based on the mathematical theory of optimal control, a framework used to optimize a system's behavior over time.

Related Concepts:

  • What mathematical theory underpins the proof of Myerson ironing?: The proof for Myerson ironing is grounded in the theory of optimal control, a mathematical framework used to determine a control policy that optimizes a system's behavior over time, subject to specified constraints.

When applying Myerson ironing using optimal control theory, what must be true about the monotonicity constraint at the boundaries of a non-monotonic interval?

Answer: It must not be binding.

When applying Myerson ironing using optimal control theory, the allocation schedule within non-monotonic intervals must be monotonic, and the monotonicity constraint must *not* be binding at the boundaries of the interval.

Related Concepts:

  • What two conditions must be satisfied by the allocation schedule within non-monotonic intervals when applying Myerson ironing using optimal control theory?: When applying Myerson ironing via optimal control theory, the allocation schedule within non-monotonic intervals must satisfy two conditions: it must be monotonic, and the monotonicity constraint must not be binding at the boundaries of the interval. This ensures a smooth and consistent schedule.

Auction Theory and Public Goods Mechanisms

William Vickrey is credited with establishing the revenue equivalence theorem, which states that a large class of auctions yield the same expected revenue under specific conditions.

Answer: True

The revenue equivalence theorem, established by William Vickrey, is a celebrated result stating that under specific conditions, a large class of auctions will yield the same expected revenue for the seller.

Related Concepts:

  • What is the 'revenue equivalence theorem' and who is credited with its establishment?: The revenue equivalence theorem, established by William Vickrey, is a seminal result asserting that under specific conditions, a broad class of auctions will yield the same expected revenue for the seller, and this expected revenue represents the maximum achievable by the seller.

One of the conditions for the revenue equivalence theorem to hold is that buyers' types must be dependent on each other.

Answer: False

One of the key conditions for the revenue equivalence theorem to hold is that buyers' types must be *independently* distributed.

Related Concepts:

  • What are the five key conditions under which the revenue equivalence theorem holds?: The revenue equivalence theorem is valid if: 1) buyers possess identical valuation functions, 2) buyers' types are independently distributed, 3) types are drawn from a continuous distribution, 4) the type distribution exhibits the monotone hazard rate property, and 5) the mechanism allocates the good to the buyer with the highest valuation.

A significant implication of the revenue equivalence theorem is that sellers can always achieve higher revenue by strictly selling to the highest bidder.

Answer: False

A significant implication for a seller is that to achieve higher revenue, they must be willing to take a chance on allocating the item to an agent with a lower valuation, or even risk not selling the item at all, rather than strictly selling to the highest bidder.

Related Concepts:

  • What is a significant implication of the revenue equivalence theorem for a seller seeking higher revenue?: A significant implication for a seller is that to achieve higher revenue, they must be prepared to risk allocating the item to an agent with a lower valuation, or even not selling the item at all, rather than strictly adhering to selling to the highest bidder.

VCG mechanisms were developed by Vickrey, Clarke, and Groves to address public choice problems and motivate socially efficient allocation of public goods.

Answer: True

VCG mechanisms, developed by Vickrey, Clarke, and Groves, are designed to address public choice problems and can motivate agents to choose the socially efficient allocation of public goods.

Related Concepts:

  • What type of problem are VCG mechanisms designed to address?: VCG mechanisms are engineered to address public choice problems, such as decisions regarding public projects where costs are shared among agents (e.g., constructing a municipal bridge), and can effectively motivate agents to select the socially efficient allocation of public goods.
  • Who expanded Vickrey's auction model to create the Vickrey–Clarke–Groves (VCG) mechanisms?: Vickrey's foundational auction model was subsequently expanded by Edward H. Clarke and Theodore Groves, leading to the development of the Vickrey–Clarke–Groves (VCG) mechanisms.
  • Under what conditions can VCG mechanisms solve the 'tragedy of the commons'?: VCG mechanisms can mitigate the 'tragedy of the commons' by incentivizing socially efficient allocation, particularly under conditions of quasilinear utility or if budget balance is not a stringent requirement.

VCG mechanisms motivate truthful revelation by rewarding agents for any positive distortion their report causes to other agents.

Answer: False

VCG mechanisms motivate truthful revelation by *penalizing* any agent for the cost of the distortion their report causes to other agents, rather than rewarding them.

Related Concepts:

  • How do VCG mechanisms motivate truthful revelation from agents?: VCG mechanisms motivate truthful revelation by imposing a penalty on any agent for the cost of the distortion their report causes to other agents. An agent is charged a fee if their report is 'pivotal,' meaning it alters the optimal allocation in a way that negatively impacts other agents.

Which of the following is NOT a condition under which the revenue equivalence theorem holds?

Answer: The mechanism sells the good to the buyer with the lowest valuation.

One of the key conditions for the revenue equivalence theorem to hold is that the mechanism sells the good to the buyer with the *highest* valuation, not the lowest.

Related Concepts:

  • What are the five key conditions under which the revenue equivalence theorem holds?: The revenue equivalence theorem is valid if: 1) buyers possess identical valuation functions, 2) buyers' types are independently distributed, 3) types are drawn from a continuous distribution, 4) the type distribution exhibits the monotone hazard rate property, and 5) the mechanism allocates the good to the buyer with the highest valuation.

What is a significant implication of the revenue equivalence theorem for a seller aiming for higher revenue?

Answer: Be willing to risk allocating the item to a lower valuation agent or not selling at all.

A significant implication for a seller is that to achieve higher revenue, they must be willing to take a chance on allocating the item to an agent with a lower valuation, or even risk not selling the item at all, rather than strictly selling to the highest bidder.

Related Concepts:

  • What are the five key conditions under which the revenue equivalence theorem holds?: The revenue equivalence theorem is valid if: 1) buyers possess identical valuation functions, 2) buyers' types are independently distributed, 3) types are drawn from a continuous distribution, 4) the type distribution exhibits the monotone hazard rate property, and 5) the mechanism allocates the good to the buyer with the highest valuation.
  • What is a significant implication of the revenue equivalence theorem for a seller seeking higher revenue?: A significant implication for a seller is that to achieve higher revenue, they must be prepared to risk allocating the item to an agent with a lower valuation, or even not selling the item at all, rather than strictly adhering to selling to the highest bidder.

VCG mechanisms are designed to address what type of problem?

Answer: Public choice problems, such as allocating public goods.

VCG mechanisms are designed to address public choice problems, such as deciding on public projects where costs are shared by all agents, and can motivate agents to choose the socially efficient allocation of public goods.

Related Concepts:

  • What type of problem are VCG mechanisms designed to address?: VCG mechanisms are engineered to address public choice problems, such as decisions regarding public projects where costs are shared among agents (e.g., constructing a municipal bridge), and can effectively motivate agents to select the socially efficient allocation of public goods.
  • Under what conditions can VCG mechanisms solve the 'tragedy of the commons'?: VCG mechanisms can mitigate the 'tragedy of the commons' by incentivizing socially efficient allocation, particularly under conditions of quasilinear utility or if budget balance is not a stringent requirement.
  • How do VCG mechanisms motivate truthful revelation from agents?: VCG mechanisms motivate truthful revelation by imposing a penalty on any agent for the cost of the distortion their report causes to other agents. An agent is charged a fee if their report is 'pivotal,' meaning it alters the optimal allocation in a way that negatively impacts other agents.

How do VCG mechanisms primarily motivate truthful revelation from agents?

Answer: By penalizing agents for the cost of distortion their report causes to others.

VCG mechanisms motivate truthful revelation by penalizing any agent for the cost of the distortion their report causes to other agents, charging a fee if their report is 'pivotal.'

Related Concepts:

  • How do VCG mechanisms motivate truthful revelation from agents?: VCG mechanisms motivate truthful revelation by imposing a penalty on any agent for the cost of the distortion their report causes to other agents. An agent is charged a fee if their report is 'pivotal,' meaning it alters the optimal allocation in a way that negatively impacts other agents.

Limits of Mechanism Design

The Gibbard–Satterthwaite theorem is an impossibility result stating that only dictatorial social choice functions can be truthfully implemented under general conditions.

Answer: True

The Gibbard–Satterthwaite theorem is an impossibility result stating that for a very general class of games, only 'dictatorial' social choice functions can be truthfully implemented.

Related Concepts:

  • What is the Gibbard–Satterthwaite theorem, and what kind of result is it?: The Gibbard–Satterthwaite theorem is an impossibility result in mechanism design, conceptually akin to Arrow's impossibility theorem. It posits that for a very general class of games, only 'dictatorial' social choice functions can be truthfully implemented.
  • What are the conditions under which the Gibbard–Satterthwaite theorem applies?: The Gibbard–Satterthwaite theorem applies under general conditions where the set of outcomes (X) is finite and contains at least three elements, preferences are rational, and the social choice function can achieve any outcome in X.

A dictatorial social choice function ensures that all agents receive their most-favored goods allocation, regardless of others' preferences.

Answer: False

A social choice function is defined as dictatorial if there exists *one specific agent* who always receives their most-favored goods allocation, regardless of the preferences or reports of any other agent.

Related Concepts:

  • What defines a 'dictatorial' social choice function in the context of the Gibbard–Satterthwaite theorem?: A social choice function is defined as dictatorial if there exists a specific agent who consistently receives their most-favored goods allocation, irrespective of the preferences or reports of any other agent.

Myerson and Satterthwaite (1983) proved that efficient trade between two parties with private valuations is always possible without risk of loss.

Answer: False

Myerson and Satterthwaite (1983) demonstrated that efficient trade between two parties with private valuations is *impossible* without incurring the risk of forcing one party to trade at a loss.

Related Concepts:

  • What significant negative result did Myerson and Satterthwaite establish regarding trade between two parties with private valuations?: Myerson and Satterthwaite (1983) demonstrated a profound negative result: it is impossible to achieve efficient trade between two parties, each possessing secret and probabilistically varying valuations for a good, without incurring the risk of compelling one party to trade at a loss.

Phillips and Marden (2018) found that the Shapley value cost-sharing rule optimizes both worst-case inefficiencies and best-case outcomes in cost-sharing games with concave cost functions.

Answer: True

Phillips and Marden (2018) proved that for cost-sharing games with concave cost functions, the optimal cost-sharing rule that first optimizes the worst-case inefficiencies (price of anarchy) and then the best-case outcomes (price of stability) is precisely the Shapley value cost-sharing rule.

Related Concepts:

  • What did Phillips and Marden (2018) prove about the Shapley value in cost-sharing games?: Phillips and Marden (2018) proved that for cost-sharing games with concave cost functions, the optimal cost-sharing rule that first optimizes worst-case inefficiencies (the price of anarchy) and then best-case outcomes (the price of stability) is precisely the Shapley value cost-sharing rule.
  • What is the symmetrical finding to Phillips and Marden's work for utility-sharing games?: A symmetrical finding to Phillips and Marden's work is that the Shapley value cost-sharing rule is similarly applicable and valid for utility-sharing games involving convex utility functions.

The 'price of anarchy' measures the best-case outcomes achievable in a system compared to a socially optimal outcome.

Answer: False

The 'price of anarchy' in cost-sharing games refers to a measure of the *worst-case inefficiencies* that can arise in a system when individual agents act selfishly, compared to a perfectly coordinated, socially optimal outcome.

Related Concepts:

  • What is the 'price of anarchy' in cost-sharing games, as mentioned in the context of the Shapley value?: The 'price of anarchy' in cost-sharing games quantifies the worst-case inefficiencies that can emerge in a system when individual agents act selfishly, relative to a perfectly coordinated, socially optimal outcome.

The 'price of stability' refers to the best-case outcomes achievable in a system, often through coordination, compared to a socially optimal outcome.

Answer: True

The 'price of stability' in cost-sharing games refers to a measure of the best-case outcomes that can be achieved in a system, often through some form of coordination or specific mechanism design, compared to a socially optimal outcome.

Related Concepts:

  • What is the 'price of stability' in cost-sharing games, as mentioned in the context of the Shapley value?: The 'price of stability' in cost-sharing games measures the best-case outcomes achievable in a system, often through coordination or specific mechanism design, compared to a socially optimal outcome.

The Gibbard–Satterthwaite theorem is an impossibility result conceptually similar to which other theorem?

Answer: Arrow's Impossibility Theorem

The Gibbard–Satterthwaite theorem is an impossibility result in mechanism design, conceptually similar to Arrow's impossibility theorem.

Related Concepts:

  • What is the Gibbard–Satterthwaite theorem, and what kind of result is it?: The Gibbard–Satterthwaite theorem is an impossibility result in mechanism design, conceptually akin to Arrow's impossibility theorem. It posits that for a very general class of games, only 'dictatorial' social choice functions can be truthfully implemented.
  • What are the conditions under which the Gibbard–Satterthwaite theorem applies?: The Gibbard–Satterthwaite theorem applies under general conditions where the set of outcomes (X) is finite and contains at least three elements, preferences are rational, and the social choice function can achieve any outcome in X.

According to the Gibbard–Satterthwaite theorem, what defines a 'dictatorial' social choice function?

Answer: One specific agent always receives their most-favored goods allocation.

A social choice function is defined as dictatorial if there exists one specific agent who always receives their most-favored goods allocation, regardless of the preferences or reports of any other agent.

Related Concepts:

  • What is the Gibbard–Satterthwaite theorem, and what kind of result is it?: The Gibbard–Satterthwaite theorem is an impossibility result in mechanism design, conceptually akin to Arrow's impossibility theorem. It posits that for a very general class of games, only 'dictatorial' social choice functions can be truthfully implemented.
  • What are the conditions under which the Gibbard–Satterthwaite theorem applies?: The Gibbard–Satterthwaite theorem applies under general conditions where the set of outcomes (X) is finite and contains at least three elements, preferences are rational, and the social choice function can achieve any outcome in X.
  • What defines a 'dictatorial' social choice function in the context of the Gibbard–Satterthwaite theorem?: A social choice function is defined as dictatorial if there exists a specific agent who consistently receives their most-favored goods allocation, irrespective of the preferences or reports of any other agent.

What significant negative result did Myerson and Satterthwaite (1983) establish regarding trade between two parties with private valuations?

Answer: Efficient trade is impossible without incurring the risk of forcing one party to trade at a loss.

Myerson and Satterthwaite (1983) demonstrated that efficient trade between two parties with private valuations is impossible without incurring the risk of forcing one party to trade at a loss.

Related Concepts:

  • What significant negative result did Myerson and Satterthwaite establish regarding trade between two parties with private valuations?: Myerson and Satterthwaite (1983) demonstrated a profound negative result: it is impossible to achieve efficient trade between two parties, each possessing secret and probabilistically varying valuations for a good, without incurring the risk of compelling one party to trade at a loss.

What does the 'price of anarchy' measure in cost-sharing games?

Answer: The worst-case inefficiencies when agents act selfishly.

The 'price of anarchy' in cost-sharing games quantifies the worst-case inefficiencies that can emerge in a system when individual agents act selfishly, relative to a perfectly coordinated, socially optimal outcome.

Related Concepts:

  • What is the 'price of anarchy' in cost-sharing games, as mentioned in the context of the Shapley value?: The 'price of anarchy' in cost-sharing games quantifies the worst-case inefficiencies that can emerge in a system when individual agents act selfishly, relative to a perfectly coordinated, socially optimal outcome.
  • What did Phillips and Marden (2018) prove about the Shapley value in cost-sharing games?: Phillips and Marden (2018) proved that for cost-sharing games with concave cost functions, the optimal cost-sharing rule that first optimizes worst-case inefficiencies (the price of anarchy) and then best-case outcomes (the price of stability) is precisely the Shapley value cost-sharing rule.

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