Promises: On Relationships Between Promises And Decisions

A promise is an interesting tool in decision governance. A promise can be used to make future behavior, including decisions, easier to predict. The outcome of a promise – if it is fulfilled or not – can serve as an input to the evaluation of competence and reputation, both of which influence trust, and in turn, the variety and importance of decision rights we may consider assigning to someone. This text is an overview of how the concept of promise is used in economics.
This text is part of the series on decision governance. Decision Governance is concerned with how to improve the quality of decisions by changing the context, process, data, and tools (including AI) used to make decisions. Understanding decision governance empowers decision makers and decision stakeholders to improve how they make decisions with others. Start with “What is Decision Governance?” and find all texts on decision governance here.
A promise in economics is formalized through models of commitment, contractual enforcement, or strategic signaling. The economic significance of a promise lies in its effect on the expectations and behaviors of others, and in the institutional or strategic mechanisms that make it credible.
Promises as Commitments in Game Theory
In dynamic games, promises are modeled as strategic commitments that influence expectations and future choices. A promise can be formalized as a strategy announcement or a binding commitment to a course of action, which alters the structure of the game or the beliefs of other players. Formal structure (in extensive-form games):
- Let \( G \) be a game with players \( i \in N \), histories \( h \), and strategy sets \( S_i \).
- A promise by player \( I \) is a pre-play communication or move \( m_i \in M_i \) that maps to a strategy \( s_i \in S_i \).
- The promise has value only if it affects beliefs or subsequent actions of other players, and can be credible if backed by a commitment device or reputational concern.
Promises can influence equilibrium outcomes in cheap talk games (Crawford & Sobel, 1982), though they are non-binding unless they are coupled with incentives or penalties.
Promises in Contract Theory
In contract theory, a promise is equivalent to a contractual obligation—a commitment to perform a specified action under defined conditions. Formal structure:
- A contract \( C \) is a tuple \( (a, t) \), where \( a \) is the promised action and \( t \) is the transfer (payment) contingent on \( a \).
- Let \( u_i(a, t) \) be the utility function of agent \( i \), and \( c(a) \) be the cost of action \( a \).
- A promise is enforceable if the incentive compatibility condition holds:
\(
u_i(a, t) – c(a) \geq u_i(a’, t’) – c(a’) \quad \forall a’ \in A
\)
That is, the agent has no incentive to deviate from the promised action.
In incomplete contract theory (Grossman & Hart, 1986), promises are understood as commitments that may not be fully specified or enforceable ex ante, and relational contracts (Baker, Gibbons, & Murphy, 2002) capture informal promises sustained by repeated interaction and reputational incentives.
Promises as Signals in Mechanism Design
Promises can be modeled as signals of intent or type in mechanisms where information asymmetry exists. A promise may serve to credibly reveal private information if it is costly to fake or can be verified ex post. Formal structure:
- In a signaling game, a sender \( i \) chooses a message \( m \) (a promise) conditional on their type.
- The receiver updates beliefs via Bayes’ rule and chooses an action.
- The promise is credible if it is a separating equilibrium: only types who intend to follow through would find it optimal to make the promise.
Types of senders:
- The sender’s type captures characteristics such as ability, reliability, or preference for cooperation.
- For example, in labor markets, a job candidate (sender) may promise punctuality and reliability. Types might include: “high effort” (likely to follow through) and “low effort” (likely to shirk). Only the high-effort type finds it worthwhile to make and keep such a promise, as reneging imposes reputational or career costs.
This framework is central to models of reputation (Kreps & Wilson, 1982), where the cost of reneging on a promise affects future payoffs.
References
- Crawford, V. P., & Sobel, J. (1982). Strategic Information Transmission. Econometrica, 50(6), 1431–1451.
- Grossman, S. J., & Hart, O. D. (1986). The Costs and Benefits of Ownership: A Theory of Vertical and Lateral Integration. Journal of Political Economy, 94(4), 691–719.
- Baker, G., Gibbons, R., & Murphy, K. J. (2002). Relational Contracts and the Theory of the Firm. Quarterly Journal of Economics, 117(1), 39–84.
- Kreps, D. M., & Wilson, R. (1982). Reputation and Imperfect Information. Journal of Economic Theory, 27(2), 253–279.
Definitions
- Commitment Device: A mechanism that restricts future choices to make a current promise credible (Schelling, 1960).
- Cheap Talk: Costless, non-binding communication between players before a game.
- Relational Contract: Informal agreements sustained by the value of future relationships rather than formal enforcement (Baker et al., 2002).
- Incentive Compatibility: A condition under which each participant’s optimal strategy leads them to act in accordance with the desired outcome.
Decision Governance
This text is part of the series on the design of decision governance. Other texts on the same topic are linked below. This list expands as I add more texts on decision governance.
- Introduction to Decision Governance
- Stakeholders of Decision Governance
- Foundations of Decision Governance
- How to Spot Decisions in the Wild?
- When Is It Useful to Reify Decisions?
- Decision Governance Is Interdisciplinary
- Individual Decision-Making: Common Models in Economics
- Group Decision-Making: Common Models in Economics
- Individual Decision-Making: Common Models in Psychology
- Group Decision-Making: Common Models in Organizational Theory
- Role of Explanations in the Design of Decision Governance
- Design of Decision Governance
- Design Parameters of Decision Governance
- Factors influencing how an individual selects and processes information in a decision situation, including which information the individual seeks and selects to use:
- Psychological factors, which are determined by the individual, including their reaction to other factors:
- Attention:
- Memory:
- Mood:
- Emotions:
- Commitment:
- Temporal Distance:
- Social Distance:
- Expectations
- Uncertainty
- Attitude:
- Values:
- Goals:
- Preferences:
- Competence
- Social factors, which are determined by relationships with others:
- Impressions of Others:
- Reputation:
- Promises:
- Social Hierarchies:
- Social Hierarchies: Why They Matter for Decision Governance
- Social Hierarchies: Benefits and Limitations in Decision Processes
- Social Hierarchies: How They Form and Change
- Power: Influence on Decision Making and Its Risks
- Power: Relationship to Psychological Factors in Decision Making
- Power: Sources of Legitimacy and Implications for Decision Authority
- Power: Stability and Destabilization of Legitimacy
- Power: What If High Decision Authority Is Combined With Low Power
- Power: How Can Low Power Decision Makers Be Credible?
- Social Learning:
- Psychological factors, which are determined by the individual, including their reaction to other factors:
- Factors influencing information the individual can gain access to in a decision situation, and the perception of possible actions the individual can take, and how they can perform these actions:
- Governance factors, which are rules applicable in the given decision situation:
- Incentives:
- Incentives: Components of Incentive Mechanisms
- Incentives: Example of a Common Incentive Mechanism
- Incentives: Building Out An Incentive Mechanism From Scratch
- Incentives: Negative Consequences of Incentive Mechanisms
- Crowding-Out Effect: The Wrong Incentives Erode the Right Motives
- Crowding-In Effect: The Right Incentives Amplify the Right Motives
- Rules
- Rules-in-use
- Rules-in-form
- Institutions
- Incentives:
- Technological factors, or tools which influence how information is represented and accessed, among others, and how communication can be done
- Environmental factors, or the physical environment, humans and other organisms that the individual must and can interact with
- Governance factors, which are rules applicable in the given decision situation:
- Factors influencing how an individual selects and processes information in a decision situation, including which information the individual seeks and selects to use:
- Change of Decision Governance
- Public Policy and Decision Governance:
- Compliance to Policies:
- Transformation of Decision Governance
- Mechanisms for the Change of Decision Governance