A shared vocabulary for an interdisciplinary field

A bottom-up approach that generates and analyzes aggregate economic dynamics from heterogeneous agents and their local interactions.

A computational model that explicitly encodes autonomous agents, behavioral rules, environments, and interactions.

A structural macroeconomic model combining intertemporal optimization, stochastic shocks, expectations, and market clearing.

A macroeconomic framework combining household heterogeneity and asset distributions with New Keynesian nominal rigidities.

A method for estimating target causal parameters with high-dimensional nuisance functions using orthogonal scores and cross-fitting.

A reinforcement-learning paradigm in which multiple learning agents interact, compete, or cooperate in a shared environment.

Model-generated computational subjects conditioned on experimental instructions and agent characteristics; they are not equivalent to real human samples.

An internal model of economic states and their dynamics used to simulate constrained multi-agent interaction and support planning, forecasting, and scenario analysis.

The task of distinguishing alternative micro-level behaviors and institutional mechanisms that can generate similar aggregate outcomes.

Evaluation on data that were not used for training, calibration, or model selection.