The productivity cost of sovereign default: evidence from the European debt crisis
Jorge Alonso-Ortiz (),
Esteban Colla-De-Robertis and
José-María Da-Rocha ()
Additional contact information
Jorge Alonso-Ortiz: ITAM
José-María Da-Rocha: ITAM
Authors registered in the RePEc Author Service: Jose Maria Da Rocha
Economic Theory, 2017, vol. 64, issue 4, No 2, 633 pages
Abstract:
Abstract We calibrate the cost of sovereign defaults using a continuous time model, where government default decisions may trigger a change in the regime of a stochastic TFP process. We calibrate the model to a sample of European countries from 2009 to 2012. By comparing the estimated drift in default relative to that in no-default, we find that TFP falls in the range of 3.70–5.88 %. The model is consistent with observed falls in GDP growth rates and subsequent recoveries and illustrates why fiscal multipliers are small during sovereign debt crises.
Keywords: Default; Sovereign debt; Financial markets; Productivity (search for similar items in EconPapers)
JEL-codes: E30 E44 G15 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s00199-015-0939-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joecth:v:64:y:2017:i:4:d:10.1007_s00199-015-0939-y
Ordering information: This journal article can be ordered from
http://www.springer. ... eory/journal/199/PS2
DOI: 10.1007/s00199-015-0939-y
Access Statistics for this article
Economic Theory is currently edited by Nichoals Yanneils
More articles in Economic Theory from Springer, Society for the Advancement of Economic Theory (SAET) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().