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Measuring Contagion with a Bayesian Time-Varying Coefficient Model, Alessandro Rebucci, Matteo Ciccarelli

Abstract
We propose using a Bayesian time-varying coefficient model estimated with Markov chain-Monte Carlo methods to measure contagion empirically. 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 and can be used to investigate positive as well as negative contagion. The proposed measure appears to work well using both simulated and actual data
Language
eng
Literary Form
non fiction
Note
Bibliographic Level Mode of Issuance: Monograph
Physical Description
1 online resource (32 pages)
Form Of Item
online
Isbn
9786613802552

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