№ 2020/2

1. Leontief, W. et al (1958). Studies of the structure of the American economy. Theoretical and empirical analysis of the input-output scheme. Moscow: State Statistical Publishing House [in Russian].
2. Glushkov, V.M. (1980). Dysplan is a new planning technology. Upravljajushie sistemy i mashiny – Control systems and machines, 6, 5-10 [in Russian].
3. Karpec, Je.P., Glushkova, V.V. (2017). On the possibility of using the DISPLAN system for balanced management of the economy. In Kravchuk A.V. (ed.) Cybernetics and democratic economic governance (p. 45-58). Kiev: Center for Social and Labor Studies [in Russian].
4. Matveev, M.T., Arhangel\'skij, Ju.S., Rybal\'chenko, V.P. et al (1988). Models of the automated system of planned calculations of Gosplan of the republic. Kiev: Naukova dumka [in Russian].
5. Economic modeling and forecasting - Ukraine: a guide to building a model (n.d.). The Conference Board of Canada. RC/Project 439/Z11109 Commitment 221460 – 2003 [in Ukrainian].
6. Pavel, F., Burakovsky, I., Selitska, N., Movchan, V. (2004). Economic Impact of Ukraine\'s WTO Accession. First results from a Computable General Equilibrium Model. The Institute for Economic Research and Police Consalting Working Paper, 43. Retrieved from www.ier.com.ua/en/publications/working_paper? pid=1547
7. Mihalevich, M.V., Sergienko, I.V. (2005).Modeling of transition economy: models, methods, information technologies. Kiev: Naukova dumka [in Russian].
8. Dovhyj, S.O., Bidiuk, P.I., Trofymchuk, O.M. (2014). Decision support systems based on statistical-probabilistic methods. Kyiv: Lohos [in Ukrainian].
9. Information and analytical support of the budget process (2013). NAS of Ukraine, Institute for Economics and Forecasting, V.M. Glushkov Institute of Cybernetics, Institute of Telecommunications and Global Information Space. Kyiv: Informatsijni systemy [in Ukrainian].
10. Arhangel\'skij, Ju.S. (1999). Forecasting production volumes based on mac-roeconomic models and intersectoral balance for the coming year. Ekonomika Ukrainy – Economy of Ukraine, 6, 20-31 [in Ukrainian].
11. Paskhaver, B.J. (2018).Agro-food complex of Ukraine in intersectoral pro-portions: state and dynamics. Ekon. prognozuvannâ – Economy and forecasting, 2, 151-159 [in Ukrainian].
12. Kudin, V.I., Onyshchenko, A.M. (2016). Modelling of technological changes in \"input-output\" balance model in terms of the Paris agreement. Ekonomichnyj analiz – Economic analysis, 25: 1, 37-44 [in Ukrainian].
13. Kudin, G.I., Kudin, V.I., Onyshchenko, A.M. (2014). Analysis of the mesoeconomic structure of production in terms of reducing greenhouse gas emissions. VII International School-Seminar \"Decision Theory\" (September 29 - October 4, 2014). Uzhhorod [in Ukrainian].
14. Yastremskii, O.I. (2019). Input-output chessboard of uncertainty and its application: forecasting, economic policy, fiscal risk, general equilibrium. Kibernetyka i systemnyj analiz – Cybernetics and systems analysis, 55: 3, 28-36. doi.org/10.1007/s10559-019-00143-6 [in Ukrainian].
15. Mirzoakhmedov, F., Nazrizoda, S., Yastremskii, O. (2017). Uncertainty estimations in input-output scheme of Republic of Tajikistan. Ekonomichnyj prostir – Economic space, 126, 15-23 [in Ukrainian].
16. Yastremskii, O.I. (2017). Uncertainty in input-output scheme: comparative inter-country analysis. Naukovi pratsi NDFI – RFI Scientific Paper, 3, 21-35. doi.org/10.33763/npndfi2017.03.021 [in Ukrainian].
17. Gurgul, H. (2007). Stochastic input-output modeling. Ekonomia Menedzerska, 2, 57-70.
18. Temurshoev, U. Uncertainty treatment in input-output analysis. Department of Economics Universidad Loyola Andalucía. Retrieved from www.loyolaandnews.es/loyolaecon/wp-content/uploads/2016/01/an--lisis-input-y-output.pdf
19. Ermol\'ev, Ju.M., Jastremskij, A.I. (1979). Stochastic models and methods in economic planning. Moscow: Nauka [in Russian].
20. Yastremskii, O.I. (1992). Economic risk modeling. Kyiv: Lybid\' [in Ukrainian].
21. Knopov, P.S., Sergienko, I.V. (2011). On scientific results of Yu.M. Ermoliev and his school in the modern stochastic optimization theory. Cybernetics and System Analysis, 47: 6, 835-853. doi.org/10.1007/s10559-011-9363-x
22. Table \"input - output\" of Ukraine for 2017 in basic prices (2019). State Statistics Service of Ukraine. Kyiv. Retrieved from www.ukrstat.gov.ua [in Ukrainian].
23. Methodological provisions for the organization of state statistical observation Table \"input - output\". State Statistics Service of Ukraine. Retrieved from www.ukrstat.gov.ua [in Ukrainian].
24. United Nations (2019). National accounts statistics: Main aggregates and detailed tables, 2018. Part I–V. (ST/ESA/STAT/SER.X/61). Department of Economic and Social Affairs Statistics Division. New York.
25. State classifier DK 009: 2005 \"Classification of economic activities\" (NACE- 2005). Approved by the order of Derzhspozhyvstandart of Ukraine dated December 26, 2005. № 375 (as amended). Retrieved from search.ligazakon.ua/l_doc2.nsf/link1/FIN19567.html [in Ukrainian].
26. Classification of economic activities. Correspondence tables of NACE-2010 – NACE-2005. Retrieved from www.ukrstat.gov.ua [in Ukrainian].
27. Piketty, Thomas (2014). Capital in the Twenty-First Century. Harvard University Press. doi.org/10.4159/9780674369542
28. Åslund, Anders. Kremlin aggression in Ukraine: the price tag. Retrieved from www.atlanticcouncil.org/images/publications/Cost_of_Kremlin_Aggression_ web.pdf
29. Pustoviit, R.F. (2016). Military expenditure and its impact on the domestic economy. Finansy Ukrainy – Finance of Ukraine, 11, 79-93 [in Ukrainian].
30. Nikaido, H. (1968). Convex Structures and Economic Theory. New York, London: Academic Press.
31. Yastremskii, O.I. (2019, February 22). Expert opinion: Working more sparingly is a resource for Ukraine\'s economic growth. Voice of America [in Ukrainian].
32. Kulyk, V.V., Kudin, G.I. (2018). Forecasting changes in intrabranch ties in the input-output model. Problemy ekonomiky – Problems of the economy, 3, 45-55 [in Ukrainian].
33. Uriasiev, S. (2017). Risk Management with POE, VaR, CVaR, and bPOE. Optimization Under Uncertainty and Data-Driven Science and Engineering. Duke University.