Conjectural variation¶
In oligopoly theory, conjectural variation is the belief that one firm has an idea about the way its competitors may react if it varies its output or price.
Core Idea¶
Conjectural variation is treated here as the recurring industrial organization identity summarized by this source-grounded definition: In oligopoly theory, conjectural variation is the belief that one firm has an idea about the way its competitors may react if it varies its output or price. In oligopoly theory, conjectural variation is the belief that one firm has an idea about the way its competitors may react if it varies its output or price. The firm forms a conjecture about the variation in the other firm's output that will accompany any change in its own output.
How would you explain it like I'm…
Guessing What the Other Seller Does
Guessing Your Rival's Move
Firm's Rival-Response Belief
Scope of Application¶
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Consistent conjectures. For example, in the standard Cournot model, the conjecture is of a zero reaction, yet the actual slope of the Cournot reaction function is negative.
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Consistent conjectures. What happens if we require the actual slope of the reaction function to be equal to the conjecture?
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Consistent conjectures. Bresnahan's consistency was a local condition that required the actual slope of the reaction function to be equal to the conjecture at the equilibrium outputs.
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Consistent conjectures. This first order optimization condition defines the reaction function for the firm, which states, for a given CV, the optimal choice of output given the other firm's output.
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Consistent conjectures. Note that the Cournot-Nash Conjecture is \phi=0 , in which case we have the standard Cournot Reaction function.
Clarity¶
A clear use of Conjectural variation names the carrier, the operative relation, and the conditions under which the source treats the identity as present. The minimal definition is In oligopoly theory, conjectural variation is the belief that one firm has an idea about the way its competitors may react if it varies its output or price.
Manages Complexity¶
Conjectural variation compresses multiple industrial organization details into a stable diagnostic relation. The source shows both the central mechanism—some economists argued that we could pin down the conjectures by a consistency condition, most notably Timothy Bresnahan in 1981.—and the practical consequence—the market price P is given by the linear demand curve. This compression makes cases comparable while leaving parameters, conventions, exceptions, and evidential quality explicit.
Abstract Reasoning¶
- Type the carrier. Identify the industrial organization entities to which the claim applies.
- State the relation. Use the source-grounded identity: In oligopoly theory, conjectural variation is the belief that one firm has an idea about the way its competitors may react if it varies its output or price.
- Check operation and conditions. To solve for a symmetric equilibrium, where both firms have the same CV, we simply note that the reaction function will pass through the x=y line so that.
- Demand recognition evidence.
Knowledge Transfer¶
Within the home domain. Knowledge about Conjectural variation transfers literally when a new case preserves the same carrier type, relation, and recognition test. For example, in the standard Cournot model, the conjecture is of a zero reaction, yet the actual slope of the Cournot reaction function is negative. What happens if we require the actual slope of the reaction function to be equal to the conjecture? Beyond the home domain. No canonical parent is asserted for Conjectural variation.
Neighborhood in Abstraction Space¶
Conjectural variation sits in a sparse region of the domain-specific corpus (66th percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.
Family — Classical & Trade Economic Theory (20 abstractions)
Nearest neighbors
- Wicksell's theory of capital — 0.84
- Wardrop Equilibrium — 0.84
- Bayes Correlated Equilibrium — 0.84
- Budget-Feasible Mechanism — 0.84
- Differentiated Bertrand competition — 0.84
Computed from structural-signature embeddings · 2026-10-08