Estimating Growth Contributions by Structural Decomposition of Input-Output Tables

Krisztián Koppány ()
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Krisztián Koppány: Széchenyi István University, Kautz Gyula Faculty of Economics, Economic Modelling Research Team, Győr, Hungary

Acta Oeconomica, 2017, vol. 67, issue 4, 605-642

Abstract: This paper presents a case-study to demonstrate the calculation methods of growth contributions using structural decompositions of input-output tables and their Hungarian applications. Although the required data are available with a considerable time-lag, results show that taking backward linkages through demand for inputs and value chain multipliers into account can significantly alter the picture on the growth effects of industries and final demand categories by the conventional approach based on quarterly GDP calculations. This can be instructive for analysts and 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.

Keywords: economic growth; Input-Output model; Structural Decomposition Analysis (SDA) (search for similar items in EconPapers)
JEL-codes: C67 E01 F43 O41 O47 (search for similar items in EconPapers)
Date: 2017
Note: This research was supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences and the PADS Foundation. I thank Mária Forgon (Hungarian Central Statistical Office) and Tamás Révész (European Commission Joint Research Centre, Sevilla and Corvinus University Budapest) for the helpful consultations and valuable comments. Suggestions by the referees of this journal are also gratefully acknowledged. Nevertheless, the responsibility for any errors is exclusively mine. This paper is a revised and expanded version of my presentation held at the Conference of European Statitistics Stakeholders, Budapest, October 20–21, 2016 and a study (Koppány 2016).
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