Contagion, Spillover, and Interdependence

R. Rigobón
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引用次数: 68

Abstract

ABSTRACT:This paper reviews the empirical literature on international spillovers and contagion. Theoretical models of spillover and contagion imply that the reduced-form observable variables suffer from two possible sources of bias: endogeneity and omitted variables. These econometric problems, in combination with the heteroskedasticity that plagues the data, produce time-varying biases. Several empirical methodologies are evaluated from this perspective: nonparametric techniques, such as correlations and principal components; and parametric methods, such as OLS, VAR, event studies, ARCH, and nonlinear regressions. The paper concludes that there is no single technique that can solve the full-fledged problem and discusses three methodologies that can partially address some of the questions in the literature.
传染、溢出和相互依赖
摘要:本文回顾了国际溢出效应与传染的实证文献。溢出和传染的理论模型暗示,简化形式的可观察变量遭受两种可能的偏差来源:内生性和省略变量。这些计量经济学问题,再加上困扰数据的异方差,产生了时变偏差。从这个角度评估了几种经验方法:非参数技术,如相关性和主成分;和参数方法,如OLS, VAR,事件研究,ARCH和非线性回归。本文的结论是,没有一种技术可以解决全面的问题,并讨论了三种方法,可以部分解决文献中的一些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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