Cross-Country Connectedness in Inflation and Unemployment: Measurement and Macroeconomic Consequences

36 Pages Posted: 30 Mar 2021 Last revised: 6 May 2025

See all articles by Binh Thai Pham

Binh Thai Pham

University of Economics Ho Chi Minh City

Hector Sala

Autonomous University of Barcelona - Department of Applied Economics; IZA Institute of Labor Economics

Abstract

We bring the notion of connectedness (Diebold and Yilmaz, 2012) to a set of two critical macroeconomic variables as inflation and unemployment. We focus on the G7 economies plus Spain, and use monthly data –high-frequency data in a macro setting– to explore the extent and consequences of total and directional volatility spillovers across variables and countries. We find that total connectedness is larger for prices (58.28%) than for unemployment (41.81%). We also identify asymmetries per country that result in higher short-run Phillips curve trade-offs in recessions and lower trade-offs in expansions. Besides, by exploring time-varying connectedness (resulting from country-specific shocks), we find that volatility spillovers magnify in periods of common economic turmoil such as the Global Financial Crisis. Our results call for an enhancement of international macroeconomic policy coordination.

Keywords: common shocks, G7, country-specific shocks, connectedness, Philips curve

JEL Classification: C32, C50, E24, F41, F42

Suggested Citation

Pham, Binh Thai and Sala Lorda, Hector, Cross-Country Connectedness in Inflation and Unemployment: Measurement and Macroeconomic Consequences. IZA Discussion Paper No. 14212, Available at SSRN: https://ssrn.com/abstract=3813639

Binh Thai Pham (Contact Author)

University of Economics Ho Chi Minh City ( email )

Vietnam

Hector Sala Lorda

Autonomous University of Barcelona - Department of Applied Economics ( email )

Departament d'Economia Aplicada
Bellaterra, 08193
Spain
+34 93 581 2779 (Phone)
+34 93 581 2292 (Fax)

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

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