Dataset: a social accounting matrix for Germany
Connolly, Kevin and Ross, Andrew and Vögele, Stefan (2024) Dataset: a social accounting matrix for Germany. BMC Research Notes, 17 (1). 262. ISSN 1756-0500 (https://doi.org/10.1186/s13104-024-06925-2)
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Abstract
Objectives: The Social Accounting Matrix (SAM) is an extension of Input-Output tables that records macro and meso-economic accounts of a socio-economic system. Its main objective is to provide a comprehensive understanding of the interrelationships among different economic sectors and agents. The SAM can be used for various purposes, including economic analysis, policy evaluation, and economic modelling. It allows policymakers to make more informed decisions, understand potential consequences of different policy options and serve as the foundation for constructing Computable General Equilibrium (CGE) models. Data description: The SAM for Germany is a comprehensive source of data that reveals the incomes and expenditures of 163 different production sectors, along with data on factors of production, households, corporations, government, and external accounts with the rest of the world. Additionally, it provides information on gross fixed capital formation, changes in inventories, and natural capital accounts. This SAM was compiled by extending the EXIOBASE Input-Output (IO) accounts with data from the Federal Statistical Office of Germany. Balancing items were also used to ensure that the Total Income and Total Expenditure of the main transactors are in balance.
ORCID iDs
Connolly, Kevin ORCID: https://orcid.org/0000-0003-2333-2211, Ross, Andrew ORCID: https://orcid.org/0000-0002-9228-5626 and Vögele, Stefan;-
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Item type: Article ID code: 90568 Dates: DateEvent12 September 2024Published28 August 2024Accepted11 May 2023SubmittedSubjects: Social Sciences > Economic Theory Department: Strathclyde Business School > Economics
Strathclyde Business School > Fraser of Allander InstituteDepositing user: Pure Administrator Date deposited: 16 Sep 2024 08:41 Last modified: 18 Oct 2024 07:06 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/90568