most citedA Multi-LLM-Agent-Based Framework for Economic and Public Policy Analysis

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

econ.GN2025

Equilibrium Transition from Loss-Leader Competition: How Advertising Restrictions Facilitate Price Coordination in Chilean Pharmaceutical Retail

Yu, Hao

Between December 2007 and April 2008 Chile's three retail pharmacy chains coordinated price increases on 222 medicines, weeks after advertising restrictions ended the comparative-p…

econ.EM2025

Semiparametric Identification of the Discount Factor and Payoff Function in Dynamic Discrete Choice Models

Yu Hao, Hiroyuki Kasahara, Katsumi Shimotsu

This paper investigates how the discount factor and payoff functions can be identified in stationary infinite-horizon dynamic discrete choice models. In single-agent models, we sho…

econ.EM2025

Estimating the Number of Components in Panel Data Finite Mixture Regression Models with an Application to Production Function Heterogeneity

Yu Hao, Hiroyuki Kasahara

This paper develops statistical methods for determining the number of components in panel data finite mixture regression models with regression errors independently distributed as…

cs.AI2025★ 2 cited

A Multi-LLM-Agent-Based Framework for Economic and Public Policy Analysis

Yuzhi Hao, Danyang Xie

This paper pioneers a novel approach to economic and public policy analysis by leveraging multiple Large Language Models (LLMs) as heterogeneous artificial economic agents. We firs…

econ.EM2024

Conditional Choice Probability Estimation of Dynamic Discrete Choice Models with 2-period Finite Dependence

Yu Hao, Hiroyuki Kasahara

This paper extends the work of Arcidiacono and Miller (2011, 2019) by introducing a novel characterization of finite dependence within dynamic discrete choice models, demonstrating…