Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Understanding international transmission mechanism that generates the world business cycle is of immense interest. In this paper, we compile a rich global dataset and utilize a trade‐linked structural vector autoregression (SVAR) model with a relatively realistic identification scheme to construct a worldwide dynamic interdependency system. Empirical results indicate that the trade‐linked SVAR system can largely capture the common dynamic properties of national business cycle fluctuations, providing a meaningful transmission foundation to the world business cycle derived from dynamic factor models. Based on the worldwide trade‐linked SVAR system, we further shed light on three crucial topics in international economics. The findings and methods in this paper help to evaluate the macroeconomic consequences of recent trade dispute between world major economies. (JEL F41, F44, O19)