Solving heterogeneous-agent models with parameterized cross-sectional distributions [PDF]
Journal of Economic Dynamics and Control, 2008 A new algorithm is developed to solve models with heterogeneous agents and aggregate uncertainty that avoids some disadvantages of the prevailing algorithm that strongly relies on simulation techniques and is easier to implement than existing algorithms.
Y. Algan, O. Allais, Wouter J. Den Haan
semanticscholar +19 more sources
Computation of equilibria in heterogeneous agent models [PDF]
, 1997 Abstract There are many questions in economics for which heterogeneous‐agent dynamic models (i.e. models populated by agents that are different from each other) have to be used to provide answers. The first such model presented is one with infinitely lived agents subject to uninsurable idiosyncratic shocks to earnings; a very simple ...
José-Víctor Ríos-Rull
semanticscholar +4 more sources
An impossibility theorem for wealth in heterogeneous-agent models with limited heterogeneity [PDF]
Journal of Economic Theory, 2018 It has been conjectured that canonical Bewley–Huggett–Aiyagari heterogeneous-agent models cannot explain the joint distribution of income and wealth.
J. Stachurski, Alexis Akira Toda
semanticscholar +6 more sources
Modeling the Evolution of Companies using Intelligent Software Agents Architecture [PDF]
Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics, 2010 The paper presents the concept of multi agent system that models the evolution of a company. The opportunity of such an approach and the limits of mathematical modeling are presented.
Cristina ZAMFIR, Cornelia NOVAC UDUDEC
doaj +2 more sources
Improving Tatonnement Methods for Solving Heterogeneous Agent Models [PDF]
, 2004 This paper modifies standard block Gauss-Seidel iterations used by tatonnement methods for solving large scale deterministic heterogeneous agent models.
Ludwig, Alexander
core +5 more sources
ORCH: many analyses, one merge—a deterministic multi-agent orchestrator for discrete-choice reasoning with EMA-guided routing [PDF]
Frontiers in Artificial IntelligenceIntroductionMulti-agent/ensemble approaches can improve discrete-choice reasoning with large language models, but common orchestration methods are often non-deterministic, expensive, and difficult to reproduce.
Hanlin Zhou, Hanlin Zhou, Huah Yong Chan
doaj +2 more sources
DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks [PDF]
Social Science Research Network, 2021 An efficient, reliable, and interpretable global solution method, the Deep learning-based algorithm for Heterogeneous Agent Models (DeepHAM), is proposed for solving high dimensional heterogeneous agent models with aggregate shocks.
Jiequn Han, Yucheng Yang, W. E
semanticscholar +1 more source
Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data [PDF]
Social Science Research Network, 2021 We develop a generally applicable full‐information inference method for heterogeneous agent models, combining aggregate time series data and repeated cross‐sections of micro data. To handle unobserved aggregate state variables that affect cross‐sectional
Laura Liu, Mikkel Plagborg-Møller
semanticscholar +1 more source
Heterogeneous Multi-Agent-Based Fault Diagnosis Scheme for Actuation System
Actuators, 2022 In this paper, a fault diagnosis method of a heterogeneous multi-agent is proposed that realizes the rapid and accurate fault diagnosis of a redundant multi-type actuation system of large aircraft.
Yuyan Cao, Ting Li, Yang Li, Xinmin Wang
doaj +1 more source
The Marginal Propensity to Consume in Heterogeneous Agent Models
Social Science Research Network, 2022 What model features and calibration strategies yield a large average marginal propensity to consume (MPC) in heterogeneous agent models? Through a systematic investigation of models with different preferences, dimensions of ex-ante heterogeneity, income ...
Greg Kaplan, Giovanni L. Violante
semanticscholar +1 more source