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Factor models and MCMC methods for the analysis of the sources and transmission of international shocks.

机译:用于分析国际冲击的来源和传播的因子模型和MCMC方法。

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摘要

This dissertation applies dynamic factor analysis to investigate the sources and channels of transmission of shocks from large to small open economies. There are two main objectives to this study. The first goal is to present methods for conducting inference in dynamic factor models using Markov Chain Monte Carlo techniques. The second objective is to use these methods to uncover the origins and propagation mechanisms of disturbances that can account for the observed synchronization of economic fluctuations across countries.; The first chapter is methodological in nature and begins by introducing the dynamic multi-factor framework. The presentation focuses on how to conduct inference under exclusion restrictions and heterogeneous dynamics using simulation techniques. One crucial issue dealt with at length is how to infer the number of factors, which is cast as a model selection problem. The performance of various proposals for selecting competing models is surveyed through extensive simulations.; The second chapter applies these methods to the case of Australia and Canada in order to investigate the sources and propagation mechanisms of foreign shocks affecting these two economies. The discussion highlights the advantages of the dynamic multi-factor methodology over previous empirical work in this area. One particularly attractive feature of this framework is the possibility of computing impulse responses that are then used to suggest a structural interpretation to the factors. In order to bridge theory and empirics, a small open economy model is calibrated for the Australian economy. The theoretical impulse responses are contrasted with those obtained from the inferred factors. This analysis reveals that innovations in highly integrated equity markets are associated with comovements in investment that are critical in explaining cofluctuations in economic activity across countries. Therefore, the omission of traded capital goods in small open economy models represents an important shortcoming of theoretical frameworks in the literature.
机译:本文运用动态因素分析方法研究了大型开放经济体向小型开放经济体传递冲击的来源和途径。这项研究有两个主要目标。第一个目标是提出使用马尔可夫链蒙特卡洛技术在动态因子模型中进行推理的方法。第二个目标是使用这些方法来发现扰动的起源和传播机制,这些扰动可以解释观察到的国家间经济波动的同步性。第一章本质上是方法论,首先介绍了动态的多因素框架。本演讲重点介绍如何使用仿真技术在排除限制和异构动态下进行推理。详细讨论的一个关键问题是如何推断因素的数量,这被视为模型选择问题。通过广泛的模拟调查了各种选择竞争模型的建议的性能。第二章将这些方法应用于澳大利亚和加拿大,以研究影响这两个经济的外国冲击的来源和传播机制。讨论强调了动态多因素方法相对于该领域以前的经验工作的优势。该框架的一个特别吸引人的特征是可以计算脉冲响应,然后将其用于建议对这些因素进行结构解释。为了在理论和经验之间架起桥梁,针对澳大利亚经济对小型开放经济模型进行了校准。理论上的冲激响应与从推论因素获得的冲激响应形成对比。该分析表明,高度整合的股票市场的创新与投资的联动相关,这对于解释各国经济活动的联动至关重要。因此,在小型开放经济模式中贸易资本品的遗漏代表了文献中理论框架的一个重要缺陷。

著录项

  • 作者

    Justiniano, Alejandro.;

  • 作者单位

    Princeton University.;

  • 授予单位 Princeton University.;
  • 学科 Economics General.; Statistics.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 216 p.
  • 总页数 216
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 经济学;统计学;
  • 关键词

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