Abstract
This article investigates the estimation and inference of quantile impulse response functions. We propose a new estimation method using the local projections by Jorda (2005). We establish consistency and asymptotic normality of the estimator, thereby enabling asymptotic inference. We also consider the confidence interval construction based on stationary bootstrap and prove its consistency. Confirmatory simulation results and empirical practices on Value-at-Risk dynamics are provided.
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