Heterogeneity levers
These levers determine who cuts spending first, who defaults sooner, and which agents amplify the shock while others absorb more of it.
Models / Route
Agent-based computational macro models begin where averages stop being enough. The route builds the economy from heterogeneous households, firms, banks, and policymakers whose local rules and interactions generate aggregate outcomes over time.
Section NotesACE opens from heterogeneity, interaction, and emergence, with aggregate outcomes arriving from local rules and encounters.
Indicator data enters later as constraints, target moments, and validation targets that shape the synthetic economy.
The flagship template is housing and credit because leverage, defaults, inequality, and macroprudential rules stay visible in one intuitive system.
Why ACE exists
Agent-based computational macro models build the economy from the bottom up. Instead of starting from one representative agent or a compact equilibrium system, this route simulates many households, firms, banks, and policymakers whose local rules and interactions generate aggregate outcomes over time.
That makes ACE the natural route when averages hide the mechanism, when networks propagate the shock, or when nonlinear thresholds turn a modest disturbance into a boom, bust, or cascade. The point is not a single baseline point forecast. The point is to see who gets hit, how the shock travels, and what emerges from the interaction.
Empirical forecasting
Pattern first. Best when the question is what the historical data implies next.
DSGE
Structure first. Best when policy rules, expectations, and equilibrium conditions need to stay explicit.
ACE
Interaction first. Best when distribution, local rules, adaptation, and network propagation matter more than a representative average.
ACE routes
This is the doorway when representative averages hide the mechanism or the distributional split.
The early route teaches assembly and propagation, not blind calibration.
Changes in distribution or topology need to change the macro result for understandable reasons.
The goal is disciplined confrontation with macro evidence, not pretending every agent is directly estimated from one series list.
ACE pays off when the question is how the shock propagates and who bears it.
Build a demo economy
A reference economy is easier to understand than a giant ingestion workflow. The model begins with households, firms, banks, government, and the central bank, then layers in income rules, borrowing constraints, pricing rules, and policy rules.
The aim is to watch the system take shape before any external constraint tells the user whether the aggregates look plausible.
Housing / Credit ABM
Labor Market ABM
Firm-Bank Macro ABM
Supply-Chain / Network ABM
Financial Market Microstructure ABM
Heterogeneity and networks
This is the core ACE promise: local variation and local connection structure alter the macro path in ways a representative average cannot show.
Heterogeneity levers
These levers determine who cuts spending first, who defaults sooner, and which agents amplify the shock while others absorb more of it.
Network levers
Topology decides whether the same disturbance fades locally or becomes a system-wide cascade.
Calibrate and validate
Indicator data enters as initial conditions, target moments, and validation targets. That keeps ACE distinct from ARIMA-style raw series fitting.
Demo Economy
The first route teaches the model with a synthetic population and a reference economy before external targets constrain anything.
Indicator-Constrained Economy
Observed indicators anchor the simulation through macro constraints and validation targets with a clear model role.
Advanced Data Mode Later
Survey and microdata layers can arrive later, extending the constraint logic without flattening the route into a generic fitting exercise.
Policy experiments
Rate hike versus credit-constrained households
LTV cap versus house-price and leverage cycle
Fiscal transfer versus household cash-flow stress
Hiring subsidy versus labor-market slack
Default shock versus bank-firm contagion
Supply disruption versus network bottlenecks
Outputs that matter
The payoff shows up in the distribution of outcomes, the propagation path, and the thresholds that make the scenario nonlinear.
Compare across model routes
Empirical Forecasting
DSGE
ACE