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Global Dollar Shocks and Spillovers into EMDEs: The Channels of Commodity Prices and Country Risk

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  • Marinelli Gaston

Abstract

This paper shows how global dollar appreciations transmit to emerging market and developing economies (EMDEs) through commodity prices and country risk. Using quarterly data for 22 EMDEs from 1999–2019, I combine the Obstfeld & Zhou (2023) dataset with country-specific commodity price indices and classify countries as commodity exporters or importers via a trade-balance rule. Global dollar appreciation shocks explain up to 16% of the forecast-error variance of commodity terms of trade (CToT) and up to 9% of EMBI spreads. A global dollar appreciation depreciates EMDE currencies, raises EMBI, depresses investment, and lowers GDP, with muted CPI effects. Stratifying by commodity status reveals sharp heterogeneity: exporters suffer larger and more persistent adverse responses, while importers seem stable. To uncover mechanisms, I implement an approach `a la Cloyne–Jord`a–Taylor (2023) to estimate indirect effects. A more favorable CToT response mitigates output and demand contractions, whereas higher commodity import prices and larger EMBI responses amplify adverse outcomes.

Suggested Citation

  • Marinelli Gaston, 2025. "Global Dollar Shocks and Spillovers into EMDEs: The Channels of Commodity Prices and Country Risk," Asociación Argentina de Economía Política: Working Papers 4818, Asociación Argentina de Economía Política.
  • Handle: RePEc:aep:anales:4818
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    References listed on IDEAS

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    1. Cloyne, James & Jordà , Òscar & Taylor, Alan M., 2023. "State-Dependent Local Projections: Understanding Impulse Response Heterogeneity," CEPR Discussion Papers 17903, C.E.P.R. Discussion Papers.
    2. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    3. Maurice Obstfeld & Haonan Zhou, 2022. "The Global Dollar Cycle," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 53(2 (Fall)), pages 361-447.
    4. Federico Di Pace & Luciana Juvenal & Ivan Petrella, 2025. "Terms-of-Trade Shocks Are Not All Alike," American Economic Journal: Macroeconomics, American Economic Association, vol. 17(2), pages 24-64, April.
    5. Shu-Ling Chen & John D. Jackson & Hyeongwoo Kim & Pramesti Resiandini, 2014. "What Drives Commodity Prices?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1455-1468.
    6. Drechsel, Thomas & Tenreyro, Silvana, 2018. "Commodity booms and busts in emerging economies," Journal of International Economics, Elsevier, vol. 112(C), pages 200-218.
    7. Ethan Ilzetzki & Carmen M Reinhart & Kenneth S Rogoff, 2019. "Exchange Arrangements Entering the Twenty-First Century: Which Anchor will Hold?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 599-646.
    8. Bertrand Gruss & Suhaib Kebhaj, 2019. "Commodity Terms of Trade: A New Database," IMF Working Papers 2019/021, International Monetary Fund.
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    JEL classification:

    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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