DSGE AI Shock Analysis

Interactive Economic Model Dashboard

Model Description

This dashboard presents a Dynamic Stochastic General Equilibrium (DSGE) model analyzing the impact of AI productivity shocks on macroeconomic variables. The model simulates 125 scenarios across varying technology shock parameters and capital share levels. Each simulation includes a 25% technology shock at period 25, representing a significant AI-driven productivity improvement.

Technology Persistence (ρ_z) 0.95
0.90 0.93 0.95 0.97 0.98
Technology Volatility (σ_z) 0.007
0.005 0.007 0.010 0.015 0.020
Capital Share (α) 0.36
0.30 0.33 0.36 0.40 0.45
Average GDP
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Final GDP
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Average Wages
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Capital Return
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Output (GDP) Over Time
Consumption & Investment
Wages & Capital Returns
Employment (Labor)
Technology Level (Total Factor Productivity)
DSGE AI Shock Analysis | Data generated using calibrated Real Business Cycle model | View on GitHub

DSGE AI Shock Analysis Dashboard

Data generated from calibrated DSGE model simulations

Model parameters: β = 0.96, δ = 0.025 | Simulation: 100 periods with AI shock at period 25