Koppány, Krisztián (2016) Estimating Contributions to GDP Growth by Structural Decomposition of Input-Output Tables. In: Selected papers from the 2016 Conference of European Statistics Stakeholders. Eurostat, pp. 1-10. (In Press)
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Abstract
This paper presents a case study to demonstrate the calculation methods of GDP growth contributions using structural decomposition analysis (SDA) of input-output tables and their Hungarian applications. Although the required data are available with a considerable time-lag, results show that taking supplier relations and value chain multipliers into account can significantly alter the picture on growth effects of industries and final demand categories by the conventional approach. This can be instructive for analysts, policy and decision makers, not only in Hungary, but also in other countries. The study was performed by using public macroeconomic and sectoral data obtained from the Hungarian Central Statistical Office’s (HCSO) dissemination database and STADAT tables.
| Item Type: | Book Section |
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| Subjects: | H Social Sciences / társadalomtudományok > HB Economic Theory / közgazdaságtudomány > HB1 Macroeconomics / makroökonómia H Social Sciences / társadalomtudományok > HB Economic Theory / közgazdaságtudomány > HB3 Economic systems / gazdasági rendszerek H Social Sciences / társadalomtudományok > HB Economic Theory / közgazdaságtudomány > HB5 Mathematical economics / matematikai közgazdaságtan |
| Depositing User: | Dr. Krisztián Koppány |
| Date Deposited: | 01 Oct 2017 09:33 |
| Last Modified: | 31 Dec 2018 00:17 |
| URI: | http://real.mtak.hu/id/eprint/64588 |
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