The sign reversal problem in structural decomposition analysis

Fumiya Nagashima

Energy Economics, 2018, vol. 72, issue C, 307-312

Abstract: A structural decomposition analysis (SDA) based on the input-output model disaggregates fluctuations in the total factor budget into shifts in its determinants. The essence of SDA is its ability to quantify the critical factors that contribute to changes in phenomena. However, it is well-known that various uncertainties are manifest in input-output datasets and SDA results may be vulnerable to substantive biases including erroneous sign reversals. This study employs Monte Carlo simulations and investigates this sign reversal problem. The simulations reveal instability in the decomposition results, particularly the effects of the intensity term and the economic structure term. In contrast, the decomposition effect of the final demand term is relatively insusceptible in this regard.

Keywords: Structural decomposition analysis; Uncertainty; Input-output analysis; Monte Carlo analysis; Carbon footprint (search for similar items in EconPapers)
JEL-codes: C15 C67 Q54 Q56 Q57 R15 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:72:y:2018:i:c:p:307-312

DOI: 10.1016/j.eneco.2018.04.027

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