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Macro by Mark

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OverviewThe flagship learning arc.ConceptsCore measures, terms, and mechanisms.PolicyFiscal, monetary, and transmission routes.

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SchoolsCompeting macro traditions.CompareLine up schools and assumptions.HistoryHow the field evolved.

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ModelsEmpirical, structural, and theoretical routes.GlossaryFast definitions while you learn.
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Macro by Mark
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Macro
Overview
OverviewThe flagship learning arc.ConceptsCore measures, terms, and mechanisms.PolicyFiscal, monetary, and transmission routes.
Debate and context
SchoolsCompeting macro traditions.CompareLine up schools and assumptions.HistoryHow the field evolved.
Work with it
ModelsEmpirical, structural, and theoretical routes.GlossaryFast definitions while you learn.
News
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All libraryThe full tracked working set.GrowthOpen this indicator lane.Prices & InflationOpen this indicator lane.Labor MarketOpen this indicator lane.Monetary & Financial ConditionsOpen this indicator lane.Nowcasting & Leading IndicatorsOpen this indicator lane.
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Macro by Mark

U.S. macro data with release timing, boards, and macro context.

Public U.S. data from agencies and market feeds.

MarkJayson.com

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© 2026 Mark Jayson Martinez Farol

Models

Real Business Cycle

A friction-light toy benchmark that traces technology and government spending shocks through capital accumulation, labor choice, and intertemporal substitution. The route stays structure-first: equilibrium conditions, shocks, policy rules, curated observables, then experiments.

Structure-firstDSGE familyModels help

Models / Route

Structural route

Structural route map

Use the route map to jump into structure, equations, and readout.

Help
OverviewRBCNKSOE-NKTANKHANK-liteFinancial Accelerator
Route notes

The route begins from the model template itself, with the observables layer arriving later in the workflow.

Outputs are served from static JSON so the structural experiments stay fast and inspectable.

The output layer is for impulse responses, decomposition, and policy comparison, not for generic time-series diagnostics.

Loading DSGE route…

DSGE route

Structure before observables

RBC is the clean entry point because the economy is small enough for equilibrium conditions, capital accumulation, and shock propagation to stay visible without nominal frictions.

A structural system becomes easier to read here when technology or fiscal demand moves through a calibrated economy.

Available
Solve a toy modelDemo economyReference calibration

Why this route exists

A friction-light toy benchmark that traces technology and government spending shocks through capital accumulation, labor choice, and intertemporal substitution.

Use RBC when you want a clean benchmark for shock propagation before you add sticky prices, financial wedges, or heterogeneous agents.

Route workflow

Step 1

Reference calibration

A benchmark set of preferences, technology, and shock persistence values keeps the opening calibration legible.

Step 2

Inspect the steady state

Output, capital, and hours anchors make the later impulse responses interpretable.

Step 3

Select the shock

Technology and government-spending shocks drive the live benchmark today.

Step 4

Solve the responses

Impulse responses trace how consumption, investment, labor, and output move after the shock.

Step 5

Compare the calibration

Persistence and core parameters can be varied to see how the transmission changes.

Demo economy

The toy route teaches propagation through calibrated model variables and their structural links.

Technology shockGovernment spending shockCapital accumulationLabor choice

Steady-state targets

Yₛₛ normalizationKₛₛ levelNₛₛ hours share

Priors and fixed parameters

Fixed calibration for β, α, δ, φ

Shock persistence for ρ_a and ρ_g

Diagnostics that lead

Steady-state existence

The benchmark only makes sense if the steady-state anchors solve cleanly.

Propagation stability

The IRFs need to damp or persist for reasons the calibration can explain.

Sensitivity

Changing persistence or core parameters needs to move the responses in a disciplined way.

ACF, PACF, ADF, Ljung-Box, and ARCH LM belong mainly to the Data-Driven Models lane, not at the center of this route.

Policy experiments

Higher versus lower government-shock persistence

Alternative technology-shock persistence

Calibration changes that alter saving and capital accumulation

Expected outputs

Impulse responsesVariance decompositionCalibration comparison