RuEn

Journal section "Regional economics"

A Forecasting Assessment of the Affordability of a Balanced Diet for Residents of Russian Regions: An Agent-Based Approach

Mashkova A.L., Dukhi N., Nevolin I.V., Savina O.A.

Volume 14, Issue 6, 2021

Mashkova A.L., Dukhi N., Nevolin I.V., Savina O.A. A forecasting assessment of the affordability of a balanced diet for residents of Russian regions: An agent-based approach. Economic and Social Changes: Facts, Trends, Forecast, 2021, vol. 14, no. 6, pp. 107–125. DOI: 10.15838/esc.2021.6.78.6

DOI: 10.15838/esc.2021.6.78.6

Abstract   |   Authors   |   References
  1. Redchikova N., Semenova A. Economic access to food in the Russian Federation. Vestnik Tomskogo gosudarstvennogo universiteta. Ekonomika=Tomsk State University Journal of Economics, 2015, no. 4(32), pp. 71–87 (in Russian).
  2. Vodyasov P.V., Minenko A.V. Estimation of economic factors of demand in the food market. Ekonomika: vchera, segodnya, zavtra=Economics: Yesterday, Today and Tomorrow, 2018, vol. 8, no. 2А, no. 26–32 (in Russian).
  3. Yashkova N.V. Methodology for assessing the physical availability of food. Fundamental’nye issledovaniya=Fundamental Research, 2020, no. 8, pp. 92–96. Available at: http://fundamental-research.ru/ru/article/view?id=42833 (accessed: July 7, 2021; in Russian).
  4. Borodin K.G. Economic access to food: Factors and methods of assessment. Ekonomicheskii zhurnal VShE=HSE Economic Journal, 2018, vol. 22, no. 4, pp. 563–582 (in Russian).
  5. Akerlof G.A. Behavioral macroeconomics and macroeconomic behavior. American Economic Review, 2002, vol. 92, pp. 411–433. DOI: 10.1257/00028280260136192
  6. Fagiolo G., Roventini A. Macroeconomic policy in DSGE and agent-based models redux: New developments and challenges ahead. Journal of Artificial Societies and Social Simulation, 2017, vol. 20(1). Available at: http://jasss.soc.surrey.ac.uk/20/1/1.html. DOI: 10.18564/jasss.3280
  7. Tesfatsion L., Judd K. (Eds.) Handbook of Computational Economics, vol. 2: Agent-Based Computational Economics. Amsterdam, North Holland, 2006. 904 p.
  8. Haber G. Monetary and fiscal policies analysis with an agent-based macroeconomic model. Journal of Economics and Statistics, 2008, vol. 228, pp. 276–295. DOI: 10.1515/jbnst-2008-2-308
  9. Bassi F., Lang D. Investment hysteresis and potential output: A post-Keynesian–Kaleckian agent-based approach. Economic Modelling, 2016, vol. 52, pp. 35–49. DOI: 10.1016/j.econmod.2015.06.022
  10. Napoletano M., Dosi G., Fagiolo G., Roventini A. Wage formation, investment behavior and growth regimes: An agent-based analysis. Revue de l’OFCE, 2012, vol. 124, pp. 235–261 DOI: 10.3917/reof.124.0235.
  11. Branch W.A., Evans G.W. Monetary policy and heterogeneous expectations. Economic Theory, 2011, vol. 47, pp. 365–393, DOI: 10.1007/s00199-010-0539-9
  12. Delli Gatti D., Desiderio S. Monetary policy experiments in an agent-based model with financial frictions. Journal of Economic Interaction and Coordination, 2015, vol. 10(2), pp. 265–286, DOI: 10.1007/s11403-014-0123-7
  13. Alexandre M., Lima G.T. Combining monetary policy and prudential regulation: An agent-based modeling approach. J Econ Interact Coord, 2020, vol. 15, pp. 385–411, DOI: 10.1007/s11403-017-0209-0
  14. Popoyan L., Napoletano M. Roventini A. Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model. Journal of Economic Behavior & Organization, 2017, vol. 134 (February), pp.117–140. DOI: 10.1016/j.jebo.2016.12.017
  15. Blanchard O., Galí J. Labor markets and monetary policy: A new Keynesian model with unemployment. American Economic Journal: Macroeconomics, 2010, vol. 2, pp.1–30. DOI: 10.2139/ssrn.920959
  16. Dawid H., Gemkow S., Harting P., Neugart M. Labor market integration policies and the convergence of regions: The role of skills and technology diffusion. Journal of Evolutionary Economics, 2012, vol. 22, pp. 543–562. DOI: 10.1007/s00191-011-0245-1
  17. Riccetti L., Russo A., Gallegati M. Unemployment benefits and financial leverage in an agent based macroeconomic model. Economics: The Open-Access, Open-Assessment E-Journal, 2013b, vol. 7, no. 2013–42. DOI: 10.5018/economics-ejournal.ja.2013-42
  18. Anufriev M., Assenza T., Hommes C., Massaro D. Interest rate rules and macroeconomic stability under heterogeneous expectations. Macroeconomic Dynamics, 2013, vol. 17(08), pp.1574–1604. DOI: 10.2139/ssrn.1400748
  19. Battiston S., Delli Gatti D., Gallegati M., Greenwald B., Stiglitz J. Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk. Journal of Economic Dynamics & Control, 2012, vol. 36(8), pp.1121–1141. DOI: 10.1016/j.jedc.2012.04.001
  20. Russo A., Riccetti L., Gallegati M. Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model. Journal of Evolutionary Economics, 2016, vol. 26, pp.25–47. DOI: 10.2139/ssrn.2356249
  21. Raberto M., Teglio A., Cincotti S. Integrating real and financial markets in an agent-based economic model: An application to monetary policy design. Computational Economics, 2008, vol. 32(1), pp. 147–162. DOI: 10.1007/s10614-008-9138-2,
  22. Gerst M., Wang P., Roventini A., Fagiolo G., Dosi G., Howarth R., Borsuk M. Agent-based modeling of climate policy: An introduction to the engage multi-level model framework. Environmental Modelling & Software, 2013, vol. 44, pp. 62–75. DOI: 10.1016/j.envsoft.2012.09.002
  23. Ge J., Polhill J., Macdiarmid J., Fitton N., Smith P., Clark H., Dawson T., Aphale M. Food and nutrition security under global trade: A relation-driven agent-based global trade model. Royal Society Open Science, 2021, vol. 8, no. 201587. DOI: https://doi.org/10.1098/rsos.201587
  24. Dobbie S., Schreckenberg K., Dyke J., Schaafsma M., Balbi S. Agent-based modelling to assess community food security and sustainable livelihoods. Journal of Artificial Societies and Social Simulation, 2018 vol. 21(1), no. 9. DOI: 10.18564/jasss.3639
  25. Buurma J., Hennen W., Verwaart T. How social unrest started innovations in a food supply chain. Journal of Artificial Societies and Social Simulation, 2017, vol. 20(1), no. 8. DOI: 10.18564/jasss.3350
  26. McPhee-Knowles S. Growing food safety from the bottom up: An agent-based model of food safety inspections. Journal of Artificial Societies and Social Simulation, 2015, vol. 18(2), no. 9. DOI: 10.18564/jasss.2717
  27. Mashkova A.L., Novikova E.V., Savina O.A., Mamatov A.V., Mashkov E.A. Simulating budget system in the agent model of the Russian Federation spatial development. In: Chugunov A., Khodachek I., Misnikov Y., Trutnev D. (Eds.). Electronic Governance and Open Society: Challenges in Eurasia. EGOSE 2019. 2020, Communications in Computer and Information Science. Vol. 1135. Pp.17–31. DOI: 10.1007/978-3-030-39296-3_2.
  28. Mashkova A.L., Novikova E.V., Savina O.A., Mashkov E.A. Generating synthetic population for the agent-based model of the Russian Federation spatial development. In: Ahrweiler P., Neumann M. (Eds.). Advances in Social Simulation. ESSA 2019. Springer Proceedings in Complexity. Springer, Cham. 2021. Pp. 183–187. DOI: 10.1007/978-3-030-61503-1_17
  29. Goncharuk I.V. Review of research on the impact of the COVID-19 pandemic on the development of global and Russian e-commerce. Tamozhennaya politika Rossii na Dal’nem Vostoke=Customs Policy of Russia in the Far East, 2021, no. 1(94), pp. 66–82. DOI: 10.24866/1815-0683/2021-1/66-82 (in Russian).
  30. Alfonso V., Boar C., Frost J., Gambacorta L., Liu J. E-commerce in the pandemic and beyond. BIS Bulletin, 2021, vol. 36, pp. 1–7. Available at: https://www.bis.org/publ/bisbull36.htm

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