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

Georgios Georgiadis

Journal of International Economics, 2017, vol. 107, issue C, 1-18

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.

Keywords: Spillovers; Bilateral models; Multilateral models; GVAR model; Two-country VAR models. (search for similar items in EconPapers)
JEL-codes: C33 F44 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (33)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:inecon:v:107:y:2017:i:c:p:1-18

DOI: 10.1016/j.jinteco.2017.03.010

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