Sample Size: $T$
T represents the sample size or the number of observations in the dataset.
Rotation angle: $\phi_0$
In the bivariate SVAR $u_t = B_0(\phi_0) \epsilon_t$, the reduced-form shocks $u_t$ are a rotation of the structural shocks $\epsilon_t$ by angle $\phi_0$ (in radians).
Reduced Form
This page explores the relationship between reduced-form shocks and structural shocks in our Non-Gaussian SVAR model.
The Relationship Between Reduced and Structural Form Shocks
In our simplified SVAR model, the reduced-form shocks $u_t$ can be viewed as a rotation of the structural shocks $\epsilon_t$ by angle $\phi_0$:
Interactive Simulation
In the simulation below, the structural shocks are independently drawn from a uniform distribution. Move the $\phi_0$ slider above to see how $B(\phi_0)$ leads to different rotations $u_t$ of $\epsilon_t$. Click the New Data button to draw a new set of structural shocks $\epsilon_t$.
Implications for Identification
Understanding this relationship is crucial for our identification strategy:
- We observe $u_t$ but not $\epsilon_t$ or $\phi_0$.
- Our goal is to estimate $\phi_0$ and recover $\epsilon_t$ from $u_t$.
- The non-Gaussian properties of $\epsilon_t$ will be key to our identification strategy.
Next Steps
In the next section, we'll delve deeper into the identification problem and why traditional methods fall short for non-Gaussian shocks. Proceed to The Identification Problem to continue.