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Methodology of the Multiregional Health Account for Germany - An Iterative Algorithm-Based Multiregionalization Approach of Supply and Use Tables with Emphasis on Health

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  • Schwärzler, Marion Cornelia
  • Kronenberg, Tobias

Abstract

The Multiregional Health Account is a methodological enhancement of the National Health Account for Germany. The latter represents an established and annually updated satellite account quantifying the economic contribution of the health economy in terms of gross value added, employment and interna-tional trade. Its methodological enhancement to a multiregional framework for the 16 federal states of Germany is represented by multiregional supply and use tables. This setting allows to compile a multire-gional health input-output table and subsequently to carry out input-output analysis. Hence, we are able to quantify the direct and indirect economic impacts of the health economy to analyze interdependencies between industries and federal states. For the purpose of compiling the Multiregional Health Account, we elaborate a new approach based on the SUT-RAS algorithm (Temurshoev & Timmer, 2011), which we adapt for the multiregional framework. We call it the MR-SUT-RAS algorithm. The methodology and its application in the context of the health economy is the subject of this contribution.

Suggested Citation

  • Schwärzler, Marion Cornelia & Kronenberg, Tobias, 2017. "Methodology of the Multiregional Health Account for Germany - An Iterative Algorithm-Based Multiregionalization Approach of Supply and Use Tables with Emphasis on Health," MPRA Paper 80712, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:80712
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    References listed on IDEAS

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    1. Umed Temurshoev & Marcel P. Timmer, 2011. "Joint estimation of supply and use tables," Papers in Regional Science, Wiley Blackwell, vol. 90(4), pages 863-882, November.
    2. Leonie Wenz & Sven Norman Willner & Alexander Radebach & Robert Bierkandt & Jan Christoph Steckel & Anders Levermann, 2015. "Regional And Sectoral Disaggregation Of Multi-Regional Input-Output Tables - A Flexible Algorithm," Economic Systems Research, Taylor & Francis Journals, vol. 27(2), pages 194-212, June.
    3. Manfred Lenzen & Richard Wood & Blanca Gallego, 2007. "Some Comments on the GRAS Method," Economic Systems Research, Taylor & Francis Journals, vol. 19(4), pages 461-465.
    4. Ranscht, Anja, 2009. "Quantifizierung regionaler Wachstums- und Beschäftigungseffekte der Gesundheitswirtschaft : am Beispiel ausgewählter Metropolregionen," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 34095, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. William H. Miernyk, 1976. "Comments on Recent Developments in Regional Input-Output Analysis," International Regional Science Review, , vol. 1(2), pages 47-55, October.
    6. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using Charm to Adjust for Cross-Hauling: The Case of the Province of Hubei, China," Economic Systems Research, Taylor & Francis Journals, vol. 27(3), pages 391-413, September.
    7. Schwärzler, Marion Cornelia & Kronenberg, Tobias, 2016. "Methodology of the National Health Account for Germany - Database, compilation and results," MPRA Paper 73561, University Library of Munich, Germany.
    8. Tobias Kronenberg, 2012. "Regional input-output models and the treatment of imports in the European System of Accounts (ESA)," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(2), pages 175-191, September.
    9. Bjarne Madsen & Chris Jensen-Butler, 1999. "Make and Use Approaches to Regional and Interregional Accounts and Models," Economic Systems Research, Taylor & Francis Journals, vol. 11(3), pages 277-300.
    10. Johannes Többen & Tobias Heinrich Kronenberg, 2015. "Construction Of Multi-Regional Input--Output Tables Using The Charm Method," Economic Systems Research, Taylor & Francis Journals, vol. 27(4), pages 487-507, December.
    11. Kirsten S. Wiebe & Manfred Lenzen, 2016. "To RAS or not to RAS? What is the difference in outcomes in multi-regional input--output models?," Economic Systems Research, Taylor & Francis Journals, vol. 28(3), pages 383-402, September.
    12. Kronenberg, Tobias, 2009. "The impact of demographic change on energy use and greenhouse gas emissions in Germany," Ecological Economics, Elsevier, vol. 68(10), pages 2637-2645, August.
    13. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using CHARM to adjust for cross-hauling: the case of the Province of Hubei, China," Working Papers 20151506, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    14. R. C. Jensen, 1980. "The Concept of Accuracy in Regional Input-Output Models," International Regional Science Review, , vol. 5(2), pages 139-154, August.
    15. Schwärzler, Marion Cornelia & Kronenberg, Tobias, 2017. "Application of the Multiregional Health Account for Germany - A financial equalization scheme to cope with lagging investments in German hospitals," MPRA Paper 80720, University Library of Munich, Germany.
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    1. Schwärzler, Marion Cornelia & Kronenberg, Tobias, 2017. "Basic Results of the Multiregional Health Account for Germany - Validation of Indirect Effects of the Health Economy," MPRA Paper 80719, University Library of Munich, Germany.
    2. Schwärzler, Marion Cornelia & Kronenberg, Tobias, 2017. "Application of the Multiregional Health Account for Germany - A financial equalization scheme to cope with lagging investments in German hospitals," MPRA Paper 80720, University Library of Munich, Germany.

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    More about this item

    Keywords

    Input-Output analysis; regionalization; multi-regional supply and use tables; SUT-RAS; health economy; Germany;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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