Research

My research lies at the intersection of economics and computational psychiatry, with a particular focus on mental health and information processing.

For more on my research motivation, please see the following page: Why Economics and Psychiatry?

Work in Progress

Rational Delusions (joint with Hiroki Oi)

We develop a rational-inattention model that provides a microfoundation for the “paradox of delusions”: the coexistence of two seemingly contradictory features of delusions—jumping to conclusions (JTC), in which weak evidence induces large belief revisions, and bias against disconfirmatory evidence (BADE), in which strong counterevidence induces little revision. In our model, an agent optimally chooses an encoding rule—that is, how to represent and interpret information about the world—by trading off the benefits of accurate information against its processing costs. Beliefs are then updated according to Bayes’ rule using the resulting internal representation. Numerical simulations show that the same fixed information-processing cost can generate patterns of both JTC and BADE within a single agent. Our findings suggest that seemingly irrational belief dynamics can emerge from optimal encoding without assuming any impairment in Bayesian inference itself.

Master’s Thesis

Testing a Macroeconomic Model of Mental Health: Evidence from Micro-Level Causal Inference
M.A. thesis, Hitotsubashi University, 2026. PDF

In this thesis, I replicate in Julia a heterogeneous-agent life-cycle model in which mental health shapes economic decisions through rumination and pessimistically distorted beliefs. I evaluate its quantitative implications using PSID panel data and the staggered adoption of state mental health parity laws within a staggered difference-in-differences framework, combining structural modeling with reduced-form causal inference.