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分类依据与纠错

AI 根据所提供的论文材料归类:摘要直接研究代理变量结构向量自回归的冲击响应识别,以及波动率机制变化对识别的影响。

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关注这篇论文的作者
Giovanni Angelini
Luca Fanelli
Luca Neri

无效代理变量与波动率变化

研究问题
当波动率机制发生永久变化且冲击响应随之改变时,代理变量结构向量自回归如何识别动态因果效应,并处理弱工具或外生性失效?
方法与思路
作者通过可检验的稳定性限制纳入波动率转变,在必要且充分的秩条件下识别目标冲击响应,并重新分析美国财政政策案例。
材料陈述的贡献
摘要称,足够有信息的波动率变化可支持弱代理或潜在非外生代理下的标准渐近推断;财政应用发现税收乘数规模明显变化。
阅读关注点
应核对稳定性限制的具体形式、秩条件与波动率信息量要求,以及税收冲击在两个机制中的识别和工具有效性诊断。
阅读边界
所给来源为 arXiv 预印本,不能据此认定已同行评审或期刊接收;摘要未说明完整假设、乘数数值及后续刊本变化。

原文摘要

When in proxy-SVARs the covariance matrix of VAR disturbances is subject to exogenous, permanent breaks that cause IRFs to change across volatility regimes, even strong, exogenous external instruments yield inconsistent estimates of the dynamic causal effects. However, if these volatility shifts are properly incorporated into the analysis through (testable) "stability restrictions", we demonstrate that the target IRFs are point-identified and can be estimated consistently under a necessary and sufficient rank condition. If the shifts in volatility are sufficiently informative, standard asymptotic inference remains valid even with (i) local-to-zero covariance between the proxies and the instrumented structural shocks, and (ii) potential failures of instrument exogeneity. Intuitively, shifts in volatility act similarly to strong instruments that are correlated with both the target and non-target shocks. We illustrate the effectiveness of our approach by revisiting a seminal fiscal proxy-SVAR for the US economy. We detect a sharp change in the size of the tax multiplier when the narrative tax instrument is complemented with the decline in unconditional volatility observed during the transition from the Great Inflation to the Great Moderation. The narrative tax instrument contributes to identify the tax shock in both regimes, although our empirical analysis raises concerns about its "statistical" validity.

笔记与分组