Liliana Pintilia
- The Bucharest University of Economic Studies, Faculty of Economic Cybernetics, Statistics and Informatics, 15-17 Dorobanti Avenue, District 1, 010552, Bucharest, Romania
Roxana-Violeta Partas-Ciolan
Șelaru Ilie-Cristian
Abstract:
This paper examines the deseasonalization of time series in Romania, with a focus on its application in analyzing quarterly GDP data. Seasonal adjustment is a vital process that ensures consistency and comparability of economic indicators across quarters and years. By removing predictable seasonal variations, deseasonalization allows analysts to identify trends, turning points, and sectoral comparisons, facilitating robust economic evaluations. Romania’s adoption of JDemetra+ software and the TRAMO-SEATS methodology since 2012 reflects the nation’s commitment to aligning with the European System of Accounts (ESA 2010) standards. The challenges associated with data revisions, structural breaks, and outliers are addressed within this process. The findings highlight the effectiveness of deseasonalization in supporting accurate policymaking and economic analysis
Tenth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research - LIMEN 2024 - International Scientific-Business Conference – LIMEN 2024: Vol 10. Conference Proceedings , December 5, 2024
Conference Proceedings published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia
ISBN: 9788680194929 , ISSN: 26836149 , DOI: 10.31410/LIMEN.2024
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
