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Counter sanctions and well-being population of Russia: econometric analyses

Author

Listed:
  • Dmitriy, Skrypnik
  • Marina, Shakleina

Abstract

This article examines the impact of counter-sanctions on the welfare of Russia’s population. We build a multiple-choice model and calculate the probability of being in a particular group of well-being based on the price (cost) of consumed counter-sanctions goods. The next step is the construction of a structural demand-supply system for estimating similar domestic good’s production elasticities. By knowing elasticity estimates we determine the price response to particular import closure. According to our estimates Russia's counter-sanctions led to an increase in poverty by 2.64 %.

Suggested Citation

  • Dmitriy, Skrypnik & Marina, Shakleina, 2019. "Counter sanctions and well-being population of Russia: econometric analyses," MPRA Paper 94478, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:94478
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    References listed on IDEAS

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    1. Elliott, Kimberly Ann & Uimonen, Peter P., 1993. "The effectiveness of economic sanctions with application to the case of Iraq," Japan and the World Economy, Elsevier, vol. 5(4), pages 403-409, December.
    2. Chao Jing & William H. Kaempfer & Anton D. Lowenberg, 2003. "Instrument Choice and the Effectiveness of International Sanctions: A Simultaneous Equations Approach," Journal of Peace Research, Peace Research Institute Oslo, vol. 40(5), pages 519-535, September.
    3. Daponte, B.O. & Garfield, R., 2000. "The effect of economic sanctions on the mortality of Iraqi children prior to the 1991 Persian Gulf War," American Journal of Public Health, American Public Health Association, vol. 90(4), pages 546-552.
    4. Пересецкий А.А., 2007. "Методы Оценки Вероятности Дефолта Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 43(3), июль.
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    More about this item

    Keywords

    counter sanctions; well-being; multiple-choice model; structural demand-supply system.;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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