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To bi, or not to bi? Differences in spillover estimates from bilateral and multilateral multi-country models

机译:bi,还是不bi?双边和多边多国模式的溢出估算差异

摘要

Asymptotic analysis and Monte Carlo simulations show that spillover estimates obtained from widely-used bilateral (such as two-country VAR) models are significantly less accurate than those obtained from multilateral (such as global VAR) models. In particular, the accuracy of spillover estimates obtained from bilateral models depends on two aspects of economiesu2019 integration with the rest of the world. First, accuracy worsens as direct bilateral transmission channels become less important, for example when the spillover-sender accounts only for a small share of the spillover-recipientu2019s overall integration with the rest of the world. Second, accuracy worsens as indirect higher-order spillovers and spillbacks become more important, for example when the spillover-recipient is more integrated with the rest of the world overall. Empirical evidence on the global output spillovers from US monetary policy is consistent with these generic results: Spillover estimates obtained from two-country VAR models are systematically smaller than those obtained from a global VAR model; and the differences between spillover estimates obtained from two-country VAR models and a global VAR model are more pronounced for economies for which the US accounts for a smaller share of their overall trade and financial integration with the rest of the world, and for economies which are more integrated with the rest of the world overall.
机译:渐近分析和蒙特卡罗模拟显示,从广泛使用的双边(例如,两个国家的VAR)模型获得的溢出估计的准确性明显低于从多边(例如,全球的VAR)模型获得的溢出估计的准确性。特别是,从双边模型获得的溢出估计的准确性取决于经济体与世界其他地区融合的两个方面。首先,由于直接的双边传输渠道变得不那么重要,准确性恶化,例如,当溢出发送方仅占溢出接收方与世界其他地区整体整合的一小部分时。其次,随着间接的高阶溢出和溢出效应变得越来越重要,准确性会降低,例如,当溢出接收者与世界其他地区的集成程度更高时。来自美国货币政策的全球产出溢出的经验证据与这些通用结果一致:从两个国家的VAR模型获得的溢出估计在系统上小于从全球VAR模型获得的溢出估计;从两个国家的VAR模型和全球VAR模型获得的溢出估计之间的差异对于美国在与世界其他地区的整体贸易和金融一体化中所占份额较小的经济体以及那些与世界其他地区的整体整合程度更高。

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  • 作者

    Georgiadis Georgios;

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  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 eng
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