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  • 标题:Measuring contagion with a Bayesian, time-varying coefficient model
  • 本地全文:下载
  • 作者:Matteo Ciccarelli ; Alessandro Rebucci
  • 期刊名称:Euro Area Balance of Payments and International Investment Position Statistics
  • 印刷版ISSN:1830-3420
  • 电子版ISSN:1830-3439
  • 出版年度:2003
  • 出版社:European Central Bank
  • 摘要:To measure contagion empirically, we propose using a Bayesian time-varying coefficient model estimated with Markov ChainMonte Carlo methods. The proposed measure works in the joint presence of heteroskedasticity and omitted variables and does not require knowledge of the timing of the crisis. It distinguishes contagion not only from interdependence but also from structural breaks. It can be used to investigate positive as well as negative contagion. The proposed measure appears to work well using both simulated and actual data.
  • 关键词:Contagion; Gibbs sampling; Heteroskedasticity; Omitted variable bias; Timevarying;coefficient models.
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