SURVEY FRAMEWORK
Four sections organize the survey
Each section can be read independently and connects concepts, methods, representative papers, evidence standards, and research boundaries.
01
SURVEY SECTION
AI as a Tool for Economic Research
Behavior generation, information representation, causal estimation, and dynamic forecasting.
Open section →01AI and Experimental Economics: Behavior GenerationIN THIS SECTION
02AI and Economic Text Analysis: Information RepresentationIN THIS SECTION
03AI for Causal Policy Evaluation: Causal EstimationIN THIS SECTION
04AI and Economic Time-Series Forecasting: Dynamic ForecastingIN THIS SECTION
02
SURVEY SECTION
Evolution of Economic-Agent Decision Modeling and Solution Methods
Equilibrium modeling and agent-based computational economics as two complementary paths.
Open section →01Equilibrium Models and Their Solution MethodsIN THIS SECTION
02Agent-Based Computational EconomicsIN THIS SECTION
03
SURVEY SECTION
AI-Driven Research on Economic-Agent Decision Making
A feedback loop from economic modeling and agent representation to solution and validation.
Open section →01Methodological FrameworkIN THIS SECTION
02Economic ModelingIN THIS SECTION
03Agent ModelingIN THIS SECTION
04AI-Based Solution Methods and Economic Analysis and ValidationIN THIS SECTION
04
SURVEY SECTION
Summary and Outlook: Toward Economic World Models
Definitions, core capabilities, current infrastructure, and the research agenda ahead.
Open section →01Review of the SurveyIN THIS SECTION
02Economic World ModelsIN THIS SECTION
03ConclusionIN THIS SECTION
