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To bi, or not to bi? Differences between spillover estimates from bilateral and multilateral multi-country models

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  • Georgiadis, Georgios

Abstract

Asymptotic analysis and Monte Carlo simulations show that spillover estimates obtained from widely-used bilateral (such as two-country VAR) models are in general less accurate both in terms of bias and mean squared error than those obtained from multilateral (such as global VAR) models. In particular, the accuracy of spillover estimates obtained from bilateral models depends on two aspects of economies' integration with the rest of the world. First, accuracy worsens as direct bilateral transmission channels become less important, for example when the spillover-sender accounts only for a small share of the spillover-recipient's overall integration with the rest of the world. Second, accuracy worsens as indirect higher-order spillovers and spillbacks become more important, for example when the spillover-recipient is more integrated with the rest of the world overall. Empirical evidence on the global output spillovers from US monetary policy is consistent with these generic results: Spillover estimates obtained from two-country VAR models are systematically smaller than those obtained from a global VAR model; and the differences between spillover estimates obtained from two-country VAR models and a global VAR model are more pronounced for economies for which the US accounts for a smaller share of their overall trade and financial integration with the rest of the world, and for economies which are more integrated with the rest of the world overall.

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  • Georgiadis, Georgios, 2017. "To bi, or not to bi? Differences between spillover estimates from bilateral and multilateral multi-country models," Journal of International Economics, Elsevier, vol. 107(C), pages 1-18.
  • Handle: RePEc:eee:inecon:v:107:y:2017:i:c:p:1-18
    DOI: 10.1016/j.jinteco.2017.03.010
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    2. Andrejs Zlobins, 2020. "Country-level effects of the ECB’s expanded asset purchase programme," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 20(2), pages 187-217.
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    5. Michael Murach & Helmut Wagner, 2021. "The effects of external shocks on the business cycle in China: A structural change perspective," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 681-702, August.
    6. Georgiadis, Georgios & Schumann, Ben, 2021. "Dominant-currency pricing and the global output spillovers from US dollar appreciation," Journal of International Economics, Elsevier, vol. 133(C).
    7. Ca' Zorzi, Michele & Dedola, Luca & Georgiadis, Georgios & Jarociński, Marek & Stracca, Livio & Strasser, Georg, 2020. "Monetary policy and its transmission in a globalised world," Working Paper Series 2407, European Central Bank.
    8. Wongi Kim & Kyunghun Kim, 2022. "Effect of news and noise shocks of US monetary policy on economic fluctuations in emerging market economies," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(4), pages 1862-1893, November.
    9. Annalisa Marini & Steve McCorriston, 2017. "Propagation of Commodity Market Shocks," Discussion Papers 1708, University of Exeter, Department of Economics.
    10. Annalisa Marini & Steve McCorriston, 2019. "Weather, Prices and Spillovers," Discussion Papers 1905, University of Exeter, Department of Economics.
    11. Silvia Miranda-Agrippino & Tsvetelina Nenova & Helene Rey, 2020. "Global Footprints of Monetary Policy," Discussion Papers 2004, Centre for Macroeconomics (CFM).
    12. Dées, Stéphane & Galesi, Alessandro, 2021. "The Global Financial Cycle and US monetary policy in an interconnected world," Journal of International Money and Finance, Elsevier, vol. 115(C).
    13. Kyriakos Drivas & Claire Economidou & Konstantinos N. Konstantakis & Panayotis G. Michaelides, 2022. "Technological Leaders, Laggards and Spillovers: A Network GVAR Analysis," Open Economies Review, Springer, vol. 33(2), pages 231-269, April.
    14. Max Hanisch, 2017. "US Monetary Policy and the Euro Area," Discussion Papers of DIW Berlin 1701, DIW Berlin, German Institute for Economic Research.
    15. Zhang, Wen, 2022. "China’s government spending and global inflation dynamics: The role of the oil price channel," Energy Economics, Elsevier, vol. 110(C).
    16. Martin Feldkircher & Helene Schuberth, 2023. "Understanding Monetary Spillovers in Highly Integrated Regions: The Case of Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 859-893, August.
    17. Hanisch, Max, 2019. "US monetary policy and the euro area," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 77-96.
    18. Murach, Michael & Wagner, Helmut, 2019. "The effects of external shocks on the business cycle in China: A structural change perspective," CEAMeS Discussion Paper Series 1/2016, University of Hagen, Center for East Asia Macro-economic Studies (CEAMeS), revised 2019.
    19. Annalisa Marini, 2019. "The Impact of Weather on Commodity Prices: A Warning for the Future," Discussion Papers 1902, University of Exeter, Department of Economics.
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    More about this item

    Keywords

    Spillovers; Bilateral models; Multilateral models; GVAR model; Two-country VAR models.;
    All these keywords.

    JEL classification:

    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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