We propose a framework for analysing transmission channels in a large class of dynamic models. Our method, labelled Transmission Channel Analysis (TCA), decomposes the total effects captured by impulse response functions into the effects flowing through transmission channels, thereby providing a quantitative assessment of the strength of various well-defined channels. This decomposition requires no identification assumptions beyond those needed to identify the structural shock whose effects the researcher wants to decompose. We provide algorithms to compute the effect through any transmission channel and prove that, for structural vector autoregressive models, impulse response functions are sufficient statistics for doing so. Applications to policy shocks in a variety of popular macroeconomic models demonstrate the empirical relevance of TCA for policy evaluation.

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