Forecasting using cross-section average-augmented time series regressions Karabiyik, H and Westerlund, Joakim 2021, Forecasting using cross-section average-augmented time series regressions, Econometrics Journal, vol. 24, no. 2, pp. 315-333, doi: 10.1093/ectj/utaa031. Attached Files Name Description MIMEType Size Downloads Title Forecasting using cross-section average-augmented time series regressions Author(s) Karabiyik, H Westerlund, Joakim orcid.org/0000-0002-8030-5706 Journal name Econometrics Journal Volume number 24 Issue number 2 Start page 315 End page 333 Total pages 19 Publisher Oxford University Press Place of publication Oxford, Eng. Publication date 2021-05 ISSN 1368-4221 1368-423X Keyword(s) Business & Economics CCE ESTIMATION cross-section average Economics FACTOR MODELS factor-augmented regressions Forecasting INFERENCE INTERVALS LARGE NUMBER Mathematical Methods In Social Sciences Mathematics Mathematics, Interdisciplinary Applications OUTPUT PANEL Physical Sciences Science & Technology Social Sciences Social Sciences, Mathematical Methods Statistics & Probability Language eng DOI 10.1093/ectj/utaa031 Field of Research 0104 Statistics 1403 Econometrics HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30158295 Document type: Journal Article Collections: Faculty of Business and Law Open Access Collection Department of Economics Related Links Link Description Link to full-text (open access)   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Sat, 06 Nov 2021, 19:11:15 EST Tue, 09 Nov 2021, 10:32:20 EST Thu, 11 Nov 2021, 09:07:10 EST Thu, 11 Nov 2021, 09:21:45 EST Fri, 12 Nov 2021, 05:16:18 EST Fri, 12 Nov 2021, 14:34:27 EST Fri, 12 Nov 2021, 15:38:59 EST Fri, 12 Nov 2021, 15:41:04 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 46 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 11 Nov 2021, 09:21:45 EST