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Transmission Channel Analysis in Dynamic Models

Enrico Wegner, Lenard Lieb, Stephan Smeekes, Ines Wilms

arXiv 29 May 2024 · Econometrics

arXiv:2405.18987 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We propose a framework for analysing transmission channels in a large class of dynamic models. We formulate our approach both using graph theory and potential outcomes, which we show to be equivalent. Our method, labelled Transmission Channel Analysis (TCA), allows for the decomposition of 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. We establish that this requires no additional identification assumptions beyond the identification of the structural shock whose effects the researcher wants to decompose. Additionally, we prove that impulse response functions are sufficient statistics for the computation of transmission effects. We demonstrate the empirical relevance of TCA for policy evaluation by decomposing the effects of policy shocks arising from a variety of popular macroeconomic models.

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44
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98
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Smets, Frank, Wouters, Rafael (2007) Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach0.9416383%
2McKay, Alisdair, Wolf, Christian K (2023) What Can Time-Series Regressions Tell Us About Policy Counterfactuals?0.81115453%
3Gertler, Mark, Karadi, Peter (2015) Monetary Policy Surprises, Credit Costs, and Economic Activity0.7218338%
4Romer, Christina D, Romer, David H (2004) A New Measure of Monetary Shocks: Derivation and Implications0.6936333%
5Ramey, Valerie A (2011) Identifying government spending shocks: It's all in the timing0.64422100%
6Angrist, Joshua D., Jordà, Òscar, Kuersteiner, Guido M (2018) Semiparametric Estimates of Monetary Policy Effects: String Theory Revisited0.64422100%
7Daniel, R. M., De Stavola, B. L., Cousens, S. N., Vansteelandt, S (2015) Causal Mediation Analysis with Multiple Mediators0.64422100%
8Kilian, Lutz, Lütkepohl, Helmut (2017) Structural Vector Autoregressive Analysis0.64422100%
9Kolesár, Michal, Plagborg-Møller, Mikkel (2024) Dynamic Causal Effects in a Nonlinear World: the Good, the Bad, and the Ugly0.64422100%
10Sims, Christopher A., Zha, Tao (2006) Does Monetary Policy Generate Recessions?0.64422100%

Showing the top 10 of 44 scored citations.