Displaced from steady state, each economy charts its own course back — shaped by its frictions, its markets, and the regime it inhabits.
Conditional saddle paths are computed via the global nonlinear solution method of Lee (2025).
*What does your saddle look like? If you’d like to contribute a figure (or suggest a model), please get in touch.
- Exogenous: Aggregate TFP (2 states)
- State: aggregate capital K; Jump: consumption C
- Standard one-sector neoclassical growth model
- Exogenous: Aggregate TFP (2 states)
- Sufficient statistic: K; Jump: C
- Heterogeneous-agent incomplete-markets economy with idiosyncratic and aggregate risk
- Exogenous: Aggregate TFP (2 states)
- Axes: unemployment u (%) vs vacancy v (%)
- Search-and-matching model with exogenous separation
- Exogenous: Aggregate TFP (21 states)
- Axes: unemployment u (%) vs vacancy v (%)
- Search-and-matching model with exogenous separation
- Exogenous: Beta (2 states)
- State: lagged nominal rate i_{-1}; Jump: inflation pi
- Rotemberg sticky-price model with interest rate smoothing
- Exogenous: Beta (2 states)
- State: lagged nominal rate i_{-1}; Jump: inflation pi
- Rotemberg sticky-price model with interest rate smoothing and ZLB
- Exogenous: Beta (2 states)
- State: stateless (saddleless); Jump: inflation pi
- Textbook Rotemberg sticky-price model without interest rate smoothing
- Exogenous: Aggregate TFP (2 states)
- Sufficient statistic: K; Jump: C
- Heterogeneous-firm model with fixed capital adjustment costs
- Exogenous: Aggregate TFP (2 states)
- State: network share alpha; Jump: consumption C
- Multi-sector DSGE with endogenous input-output linkages