A cross-section average-based principal components approach for fixed-T panels Westerlund, Joakim 2020, A cross-section average-based principal components approach for fixed-T panels, Journal of Applied Econometrics, pp. 1-10, doi: 10.1002/jae.2786. Attached Files Name Description MIMEType Size Downloads Title A cross-section average-based principal components approach for fixed-T panels Formatted title A cross-section average-based principal components approach for fixed-T panels  Author(s) Westerlund, Joakim orcid.org/0000-0002-8030-5706 Journal name Journal of Applied Econometrics Start page 1 End page 10 Total pages 10 Publisher Wiley Place of publication Chichester, Eng. Publication date 2020 ISSN 0883-7252 1099-1255 Keyword(s) Social Sciences Economics Social Sciences, Mathematical Methods Business & Economics Mathematical Methods In Social Sciences PANEL-DATA MODELS FINITE DIMENSIONALITY EFFICIENT ESTIMATION NUMBER INFERENCE REGRESSION LATENT Notes Early View Article Language eng DOI 10.1002/jae.2786 Indigenous content off Field of Research 1402 Applied Economics 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:30140804 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)     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 Thu, 13 Aug 2020, 14:18:45 EST Fri, 14 Aug 2020, 05:00:55 EST Fri, 14 Aug 2020, 06:03:39 EST Fri, 04 Sep 2020, 13:58:42 EST Fri, 04 Sep 2020, 14:00:19 EST Fri, 04 Sep 2020, 14:01:37 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 56 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 13 Aug 2020, 14:18:45 EST

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