2021
DOI: 10.1016/j.jmoneco.2020.06.001
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Structural scenario analysis with SVARs

Abstract: Macroeconomists seeking to construct conditional forecasts often face a choice between taking a stand on the details of a fully-specified structural model or relying on empirical correlations from vector autoregressions and remain silent about the underlying causal mechanisms. This paper develops tools for constructing "structural scenarios" that can be given an economic interpretation using identified structural VARs. We provide a unified and transparent treatment of conditional forecasting and structural sce… Show more

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Cited by 55 publications
(53 citation statements)
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“…However, can the improved shock identification be useful in practical policy-making? This section attempts to study the policy implications of our exercise by implementing a structural scenario analysis of the sort proposed by Antolin-Diaz et al (2018). The structural scenario analysis is essentially a forecasting exercise conditional on structural shocks, which highlights the necessity of correctly identifying the exchange rate shock.…”
Section: Structural Scenario Analysismentioning
confidence: 99%
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“…However, can the improved shock identification be useful in practical policy-making? This section attempts to study the policy implications of our exercise by implementing a structural scenario analysis of the sort proposed by Antolin-Diaz et al (2018). The structural scenario analysis is essentially a forecasting exercise conditional on structural shocks, which highlights the necessity of correctly identifying the exchange rate shock.…”
Section: Structural Scenario Analysismentioning
confidence: 99%
“…Similarly, the median long-run ERPT ratios to both import prices and consumer prices are also lower than their counterparts in the model without the narrative sign restrictions. Third, we evaluate the policy implications of our findings with the novel structural scenario analysis of Antolin-Diaz et al (2018). The structural scenario analysis is essentially a forecasting exercise conditional on structural shocks, which highlights the effectiveness of the narrative sign identification approach in practical policy-making.…”
Section: Introductionmentioning
confidence: 97%
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“…Forecasts of the latent map directly to the probabilistic forecast of the binary event. We construct the conditional forecasts in a Bayesian framework similar to that described in Antolin-Diaz, Petrella, and Rubio-Ramirez (2018) for VARs with strictly observable predictors, but with an added step in which the latent variable is drawn from an appropriately truncated normal distribution.…”
Section: Introductionmentioning
confidence: 99%
“…Antolín-Díaz et al (2019) show the equivalence of entropic tilting to linear restrictions on the mean and variance of the forecast distribution for the special case of Gaussian densities.3 More recently,Altavilla et al (2017) suggested a test which can help researchers decide on which moments of the multivariate density they should impose external moment conditions.…”
mentioning
confidence: 99%