Draft:RE-SVAR
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A Rational Expectations augmented Structural Vector Autoregression (RE-SVAR) model integrates forward-looking behavior directly into the traditional Structural Vector Autoregression (SVAR) framework. Unlike standard SVAR models, which rely on backward-looking assumptions, RE-SVAR incorporates rational expectations (RE) explicitly.
The RE-SVAR model is expressed as:
where:
xt: A vector of variables (e.g., inflation, output, monetary policy indicators), A0: The structural coefficient matrix, Ai: Lagged coefficient matrices, ϵt: A vector of structural shocks. Forward-Looking Structural Equations Monetary Policy Rule:
where:
φπ, φy: Policy response coefficients, Et: Represents the rational expectations operator at time t, hπ, hy: Forward-looking horizons for inflation and output. Output Equation:
where α1 measures the sensitivity of output to interest rates and inflation expectations.
Inflation Equation:
where:
α2, α3: Capture forward-looking and contemporaneous impacts on inflation. Identification of Structural Shocks Structural shocks are identified using an expectational difference method. For monetary policy shocks (ϵMP,t), the structural shock is derived as:
where:
ei,t: The reduced-form residual for the interest rate equation, Sπ, Sy: Selection vectors for inflation and output, Ψhπ, Ψhy: Companion-form matrices raised to the relevant horizons. This methodology extends to identifying shocks for output (ϵIS,t) and inflation (ϵAS,t) by substituting the appropriate structural equations.
The RE-SVAR approach provides a robust framework for analyzing forward-looking behavior and generating theoretically consistent impulse response functions (IRFs) to structural shocks.