Arbeitspapier

Spillover effects in international business cycles

To analyze the international transmission of business cycle fluctuations, we propose a new multilevel dynamic factor model with a block structure that (i) does not restrict the factors to being orthogonal and (ii) mixes data sampled at quarterly and monthly frequencies. By means of Monte Carlo simulations, we show the high performance of the model in computing inferences of the unobserved factors, accounting for the spillover effects, and estimating the model's parameters. We apply our proposal to data from the G7 economies by analyzing the responses of national factors to shocks in foreign factors and by quantifying the changes in national GDP expectations in response to unexpected positive changes in foreign GDPs. Although the share of the world factor as a source of the international transmission of fluctuations is still significant, this is partially absorbed by the spillover transmissions. In addition, we document a pro-cyclical channel of international transmission of output growth expectations, with the US and UK being the countries that generate the greatest spillovers and Germany and Japan being the countries that generate the smallest spillovers. Therefore, policymakers should closely monitor the evolution of foreign business cycle expectations.

ISBN
978-92-899-4401-4
Language
Englisch

Bibliographic citation
Series: ECB Working Paper ; No. 2484

Classification
Wirtschaft
Business Fluctuations; Cycles
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
International Policy Coordination and Transmission
Open Economy Macroeconomics
Subject
International business cycles
Mixed frequency data
Bayesian estimation
Spillover effects

Event
Geistige Schöpfung
(who)
Camacho, Maximo
Pacce, Matías
Pérez-Quirós, Gabriel
Event
Veröffentlichung
(who)
European Central Bank (ECB)
(where)
Frankfurt a. M.
(when)
2020

DOI
doi:10.2866/37547
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Camacho, Maximo
  • Pacce, Matías
  • Pérez-Quirós, Gabriel
  • European Central Bank (ECB)

Time of origin

  • 2020

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