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040 |aCaOODSP|beng|erda|cCaOODSP
043 |an-us---
0861 |aFB3-5/2021-37E-PDF
1001 |aBrunner, Felix, |eauthor.
24510|aEstimating large-dimensional connectedness tables : |bthe great moderation through the lens of sectoral spillovers / |cby Felix Brunner and Ruben Hipp.
264 1|aOttawa, Ontario, Canada : |bBank of Canada = Banque du Canada, |c2021.
264 4|c©2021
300 |a1 online resource (iii, 42 pages) : |billustrations (chiefly colour).
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aStaff working paper = |aDocument de travail du personnel, |x1701-9397 ; |v2021-37
500 |a"Last updated: August 5, 2021."
504 |aIncludes bibliographical references (pages 35-37).
5203 |a"We estimate sectoral spillovers around the Great Moderation with the help of forecast error variance decomposition tables. Obtaining such tables in high dimensions is challenging since they are functions of the estimated vector autoregressive coefficients and the residual covariance matrix. In a simulation study, we compare various regularization methods for both and conduct a comprehensive analysis of their performance. We show that standard estimators of large connectedness tables lead to biased results and high estimation uncertainty, which can both be mitigated by regularization. To explore possible causes for the Great Moderation, we apply a cross-validated estimator on sectoral spillovers of industrial production in the US from 1972 to 2007. We find that a handful of sectors considerably decreased their outgoing links, which hints at a complimentary explanation for the Great Moderation"--Abstract, page iii.
650 0|aBusiness cycles|zUnited States|xEconometric models.
650 6|aCycles économiques|zÉtats-Unis|xModèles économétriques.
7102 |aBank of Canada, |eissuing body.
830#0|aStaff working paper (Bank of Canada)|v2021-37.|w(CaOODSP)9.806221
85640|qPDF|s1.27 MB|uhttps://publications.gc.ca/collections/collection_2021/banque-bank-canada/FB3-5-2021-37-eng.pdf