Social Accounting Matrices: Challenges and Prospects of Use in Macroeconomic Statistics
https://doi.org/10.34023/2313-6383-2023-30-6-5-20
Abstract
The paper presents results of the first stage of research on the construction of social accounting matrices (SAMs) for the Russian Federation as part of the HSE University study on statistical assessment of households’ economic behaviour. The author analyses the methodological foun- dations of SAM compilation, their connection with the System of National Accounts (SNA) and their use in macroeconomic analysis. Special attention is paid to the application of SAM in evaluating exogenous impacts, including multiplier effects, arising in all spheres of the national economy at governing decision-making and implementation of economic policy projects.
The paper reviews aggregated social accounting matrices for the Russian Federation for the year 2020 that were compiled according to the SNA methodology and based on the G. Pyatt and A. Roe modified model. The author proposes the scheme of accounts partial trans- formation enhancing the reflection of direct income flows between institutional sectors. The properties of SAM as a static economic impact evaluation model are reviewed, and for illustration purposes, results of experimental computation of the effect of changed demand from the Rest of the World are considered.
Analysis of areas of SAM application and its development as a tool for macroeconomic research highlights the importance of development methods of a detailed representation of the structure of household incomes and expenditures in social accounting matrices. It will foster solutions to poverty, inequality and connected social problems. It is noted that, with increased attention to the social aspects of macroeconomic accounting, SAM can become a major tool for measuring well-being and household income formation and distribution processes in macroeconomic statistics.
Keywords
About the Author
A. A. TatarinovRussian Federation
Andrey A. Tatarinov – Dr. Sci. (Econ.), Professor, Chief Expert, Department of Statistics and Data Analysis; Deputy
Director, Economic Statistics Centre of Excellence, Faculty of Economic Sciences
11, Pokrovsky Blvd., Room T404, Moscow, 109028
References
1. Stone R., Brown A. A Computable Model of Economic Growth (A Programme for Growth. Vol. 1). London: Chapman & Hall, Department of Applied Economics, University of Cambridge; 1962. 91 p.
2. United Nations; Stone R. Measurement of National Income and the Construction of Social Accounts. Report of the Sub-Committee on National Income Statistics of the League of Nations Committee of Statistical Experts. Geneva: United Nations; 1947. 116 p. Available from: https://unstats.un.org/unsd/nationalaccount/docs/1947nareport.pdf.
3. Pyatt G., Roe A. Social Accounting for Development Planning with Special Reference to Sri Lanka. Cambridge: Cambridge University Press; 1977. 190 p.
4. Pyatt G., Round J.I. (eds). Social Accounting Matrices: A Basis for Planning. Washington, D.C.: World Bank Group; 1985. 281 p. Available from: http://documents.worldbank.org/curated/en/919371468765880931/Social-accounting-matrices-a-basis-for-planning.
5. Pyatt G. SAMs, the SNA and National Accounting Capabilities. Review of Income and Wealth. 1991;37(2):177–198. Available from: https://doi.org/10.1111/j.1475-4991.1991.tb00353.x.
6. Mainar-Causapé A.J., Ferrari E., McDonald S. Social Accounting Matrices: Basic Aspects and Main Steps for Estimation. EUR 29297 EN, JRC Technical Reports. Luxembourg: Publ. Office of the European Union; 2018. 36 p. Available from: https://doi.org/10.2760/010600.
7. Hayden C., Round J.I. Developments in Social Accounting Methods as Applied to the Analysis of Income Distribution and Employment Issues. World Development. 1982;10(6):451–465.
8. Round J.I. Constructing МССs for Development Policy Analysis: Lessons Learned and Challenges Ahead. Economic Systems Research. 2003;15(2):161–183. Available from: https://doi.org/10.1080/0953531032000091153.
9. Cohen S.I. Social Accounting and Economic Modelling for Developing Countries. Analysis, Policy, And Planning Applications. London: Routledge; 2017. 191 p.
10. Rutherford T.F. Applied General Equilibrium Modelling with MPSGE as a GAMS Subsystem: An Overview of the Modelling Framework and Syntax. Computational Economics. 1999;14(1-2):1–46.
11. Thorbecke E. Towards a Stochastic Social Accounting Matrix for Modelling. Economic Systems Research. 2003;15(2):185–196. Available from: https://doi.org/10.1080/0953531032000091162.
12. Cohen S.I. A Social Accounting Matrix Analysis for The Netherlands. De Economist. 1988;136(2):253–272. Available from: https://doi.org/10.1007/BF01238624.
13. Stone R. A System of Social Matrices. Review of Income and Wealth. 1973;19(2):143–166. Available from: https://doi.org/10.1111/j.1475-4991.1973.tb00879.x.
14. Pyatt G. Some Early Multiplier Models of the Relationship Between Income Distribution and Production Structure. Economic Systems Research. 2001;13(2):139– 163. Avai-lable from: https://doi.org/10.1080/09537320120052434.
15. Round J.I. Social Accounting Matrices and SAM-based Multiplier Analysis. In: F. Bourguignon, L.A. Pereira da Silva (eds). The Impact of Economic Policies on Poverty and Income Distribution: Evaluation Techniques and Tools. Washington, D.C.: World Bank and Oxford University Press; 2003. Available from: https://www.un.org/en/development/desa/policy/mdg_workshops/eclac_training_mdgs/round_2003_МССs_chapter14.pdf.
16. OECD. OECD Framework for Statistics on the Distribution of Household Income, Consumption and Wealth. Paris: OECD Publ.; 2013. 236 p. Available at: from: https://doi.org/10.1787/9789264194830-1-en.
Review
For citations:
Tatarinov A.A. Social Accounting Matrices: Challenges and Prospects of Use in Macroeconomic Statistics. Voprosy statistiki. 2023;30(6):5-20. (In Russ.) https://doi.org/10.34023/2313-6383-2023-30-6-5-20