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Asymmetric transmission and effects of resource shocks: Case of Mongolia

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  • Chuluunbayar, Delgerjargal

Abstract

This paper contributes to the empirical evidence on Dutch disease by studying the transmission of resource shocks in Mongolia. Asymmetric resource shock transmissions adjusted for the business cycle stage were estimated using a Markov Switching Vector Autoregression model (VAR) and data from 2000Q1 to 2019Q4. The results of these and additional estimates employing recursive and non-recursive VAR models found evidence of a positive technological spillover effect from the resource sector on the Mongolian economy. However, it is evident that the main source of economic volatility is from the mining sector.

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  • Chuluunbayar, Delgerjargal, 2020. "Asymmetric transmission and effects of resource shocks: Case of Mongolia," MPRA Paper 104641, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:104641
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    References listed on IDEAS

    as
    1. Mardi Dungey & Renee Fry‐Mckibbin & Vladimir Volkov, 2020. "Transmission of a Resource Boom: The Case of Australia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 503-525, June.
    2. Anthony J. Venables, 2016. "Using Natural Resources for Development: Why Has It Proven So Difficult?," Journal of Economic Perspectives, American Economic Association, vol. 30(1), pages 161-184, Winter.
    3. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    4. Frederick van der Ploeg, 2011. "Natural Resources: Curse or Blessing?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 366-420, June.
    5. Frankel, Jeffrey A., 2010. "The Natural Resource Curse: A Survey," Scholarly Articles 4454156, Harvard Kennedy School of Government.
    6. Brahmbhatt, Milan & Canuto, Otaviano & Vostroknutova, Ekaterina, 2010. "Dealing with Dutch Disease," World Bank - Economic Premise, The World Bank, issue 16, pages 1-7, June.
    7. Ehrmann, Michael & Ellison, Martin & Valla, Natacha, 2003. "Regime-dependent impulse response functions in a Markov-switching vector autoregression model," Economics Letters, Elsevier, vol. 78(3), pages 295-299, March.
    8. Gan-Ochir Doojav & Davaajargal Luvsannyam, 2019. "External Shocks and Business Cycle Fluctuations in Mongolia: Evidence from a Large Bayesian VAR," International Economic Journal, Taylor & Francis Journals, vol. 33(1), pages 42-64, January.
    9. Nasir, Muhammad Ali & Al-Emadi, Ahmed Abdulsalam & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2019. "Importance of oil shocks and the GCC macroeconomy: A structural VAR analysis," Resources Policy, Elsevier, vol. 61(C), pages 166-179.
    10. Corden, W Max & Neary, J Peter, 1982. "Booming Sector and De-Industrialisation in a Small Open Economy," Economic Journal, Royal Economic Society, vol. 92(368), pages 825-848, December.
    11. Smith, Brock, 2015. "The resource curse exorcised: Evidence from a panel of countries," Journal of Development Economics, Elsevier, vol. 116(C), pages 57-73.
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    More about this item

    Keywords

    Resource shocks; Mongolia; Markov Switching VAR; SVAR;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • F62 - International Economics - - Economic Impacts of Globalization - - - Macroeconomic Impacts

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