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Paul H. Y. Cheung

Publications and source records attributed to Paul H. Y. Cheung.

3 recordsLinked to original sources

Scrutiny and Conservatism

We study a setting in which an agent receives private information before choosing from a menu and anticipates hindsight scrutiny. Such scrutiny creates a motive for conservatism toward menu expansions. Our key axiom, conservatism, is a direct weakening of preference for flexibility: Adding an option is weakly beneficial whenever it leaves the menu's hindsight benchmark unchanged. Together with standard axioms, conservatism characterizes a scrutiny representation of preferences over menus in which the agent behaves as if she evaluates each menu by subtracting anticipated scrutiny from the material value of informed choice. Menu preference identifies a unique minimum pair of private information and scrutiny intensity, while incorporating subsequent stochastic-choice data pins down the actual pair. Applications to medical liability and corporate innovation illustrate the implications of our model for accountability design.

econ.TH↗

Revealed Attentional Interference

We study the impact of external stimuli on attention in the Attentional Interference Model, capturing two opposing forces in consideration-set formation: proactive and retroactive interference. Proactive interference limits the permeation of external information, while retroactive interference displaces internally generated considerations. We model these forces using parameters governing permeation and displacement. In a general setting, we characterize the tight range of these parameters and show that, across several specifications, only an upper bound on permeation is revealed. Imposing monotonicity on internal attention in one case both tightens this upper bound and yields a lower bound. We illustrate our results through simulation.

econ.TH↗

Frame-dependent Random Utility

We explore the influence of framing on decision-making, where some products are framed (e.g., displayed, recommended, endorsed, or labeled). We introduce a novel choice function that captures observed variations in framed alternatives. Building on this, we conduct a comprehensive revealed preference analysis, employing the concept of frame-dependent utility using both deterministic and probabilistic data. We demonstrate that simple and intuitive behavioral principles characterize our frame-dependent random utility model (FRUM), which offers testable conditions even with limited data. Finally, we introduce a parametric model to increase the tractability of FRUM. We also discuss how to recover the choice types in our framework.

econ.TH↗