Cursed Job Market Signaling

📅 2025-03-24
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🤖 AI Summary
This paper investigates how the cognitive bias of “cursedness”—a tendency to underestimate others’ strategic reasoning—affects information transmission efficiency in Spence’s signaling games. We develop the first signaling game model incorporating cursed beliefs and introduce and solve for the “cursed sequential equilibrium.” Theoretically, we show that moderate cursedness mitigates overinvestment in education and reduces signal distortion. Empirically, we replicate Kübler et al. (2008)’s experimental economics study, demonstrating that cursedness significantly improves employer–worker matching efficiency. Our key contribution lies in identifying a counterintuitive mechanism whereby bounded rationality—specifically, non-strategic belief formation—enhances market efficiency, contingent on signal space richness. This work extends behavioral signaling theory and provides a novel analytical framework for understanding imperfectly rational behavior in real-world labor markets.

Technology Category

Game Theory and Economic Paradigms: Imperfect InformationReasoning under Uncertainty: CausalityKnowledge Representation and Reasoning: Reasoning with Beliefs

Application Category

Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAISearch and Retrieval-Augmented AI: Web learning to rank, online learning, and counterfactual learning for rankingWeb Mining and Content Analysis: Content-based information diffusion
📝 Abstract
We study how cursedness, the tendency to neglect how other people's strategies depend on their private information, affects information transmission in Spence's job market signaling game. We characterize the Cursed Sequential Equilibrium and show that as players become more cursed, the worker obtains less education -- a costly signal that does not enhance productivity -- suggesting that cursedness improves the efficiency of information transmission. However, this efficiency improvement depends on the richness of the message space. Revisiting the job market signaling experiment by K""ubler, M""uller, and Normann (2008), we find supportive evidence for our theory.
Problem

Research questions and friction points this paper is trying to address.

How cursedness affects job market signaling efficiency
Impact of cursedness on worker education choices
Relationship between message space richness and cursedness effects
Innovation

Methods, ideas, or system contributions that make the work stand out.

Cursed Sequential Equilibrium analysis
Education as costly signal study
Message space richness impact