00000nam 2200000zi 4500 9.903145 CaOODSP 20221107180149 m o d f cr mn||||||||| 210908t20212021onca ob f000 0 eng d CaOODSP eng rda CaOODSP n-us--- FB3-5/2021-37E-PDF Brunner, Felix, author. Estimating large-dimensional connectedness tables : the great moderation through the lens of sectoral spillovers / by Felix Brunner and Ruben Hipp. Ottawa, Ontario, Canada : Bank of Canada = Banque du Canada, 2021. ©2021 1 online resource (iii, 42 pages) : illustrations (chiefly colour). text txt rdacontent computer c rdamedia online resource cr rdacarrier Staff working paper = Document de travail du personnel, 1701-9397 ; 2021-37 "Last updated: August 5, 2021." Includes bibliographical references (pages 35-37). "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. Business cycles United States Econometric models. Cycles économiques États-Unis Modèles économétriques. Bank of Canada, issuing body. Staff working paper (Bank of Canada) 2021-37. (CaOODSP)9.806221 PDF 1.27 MB https://publications.gc.ca/collections/collection_2021/banque-bank-canada/FB3-5-2021-37-eng.pdf