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

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  • Georgios Georgiadis

Abstract

Asymptotic analysis and Monte Carlo simulations show that spillover estimates obtained from widely-used bilateral (such as two-country VAR) models are significantly less accurate 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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  • Georgios Georgiadis, 2015. "To bi, or not to bi? differences in spillover estimates from bilateral and multilateral multi-country models," Globalization Institute Working Papers 256, Federal Reserve Bank of Dallas.
  • Handle: RePEc:fip:feddgw:256
    DOI: 10.24149/gwp256
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    2. Faryna, Oleksandr, 2016. "Exchange rate pass-through and cross-country spillovers: Some evidence from Ukraine and Russia," BOFIT Discussion Papers 14/2016, Bank of Finland, Institute for Economies in Transition.
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    6. Ansgar Belke & Thomas Osowski, 2019. "International Effects Of Euro Area Versus U.S. Policy Uncertainty: A Favar Approach," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 453-481, January.
    7. Faryna, Oleksandr, 2016. "Exchange rate pass-through and cross-country spillovers: Some evidence from Ukraine and Russia," BOFIT Discussion Papers 14/2016, Bank of Finland Institute for Emerging Economies (BOFIT).
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    JEL classification:

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

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