This title appears in the Scientific Report :
2020
Please use the identifier:
http://dx.doi.org/10.1007/978-3-030-40943-2_12 in citations.
Please use the identifier: http://hdl.handle.net/2128/26491 in citations.
Please use the identifier: http://dx.doi.org/10.1007/978-3-030-40943-2 in citations.
Reconstruction of demand shocks in input-output networks
Reconstruction of demand shocks in input-output networks
Input-Output analysis describes the dependence of production, demand and trade between sectors and regions and allows to understand the propagation of economic shocks through economic networks. A central challenge in practical applications is the availability of data. Observations may be limited to...
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Personal Name(s): | Han, Chengyuan (Corresponding author) |
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Többen, Johannes / Kuckshinrichs, Wilhelm / Schröder, Malte / Witthaut, Dirk | |
Contributing Institute: |
Systemforschung und Technologische Entwicklung; IEK-STE |
Published in: |
Complex Networks XI Proceedings of the 11th Conference on Complex Networks CompleNet 2020 |
Imprint: |
Cham
Springer International Publishing
2020
|
Physical Description: |
131 - 140 |
ISBN: |
978-3-030-40942-5 (print) 978-3-030-40943-2 (electronic) |
DOI: |
10.1007/978-3-030-40943-2_12 |
DOI: |
10.1007/978-3-030-40943-2 |
Conference: | 11th Conference on Complex Networks CompleNet 2020, Exeter (United Kingdom), 2020-03-31 - 2020-04-03 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Helmholtz Young Investigators Group "Efficiency, Emergence and Economics of future supply networks" Energie System 2050 Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security |
Series Title: |
Springer Proceedings in Complexity
|
Link: |
Get full text OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/26491 in citations.
Please use the identifier: http://dx.doi.org/10.1007/978-3-030-40943-2 in citations.
Input-Output analysis describes the dependence of production, demand and trade between sectors and regions and allows to understand the propagation of economic shocks through economic networks. A central challenge in practical applications is the availability of data. Observations may be limited to the impact of the shocks in few sectors, but a complete picture of the origin and impacts would be highly desirable to guide political countermeasures. In this article we demonstrate that a shock in the final demand in few sectors can be fully reconstructed from limited observations of production changes. We adapt three algorithms from sparse signal recovery and evaluate their performance and their robustness to observation uncertainties. |