Arbeitspapier

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

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.

Language
Englisch

Bibliographic citation
Series: IZA Discussion Papers ; No. 14212

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Econometric Modeling: General
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Open Economy Macroeconomics
International Policy Coordination and Transmission
Subject
country-specific shocks
connectedness
Philips curve
common shocks

Event
Geistige Schöpfung
(who)
Pham, Binh Thai
Sala, Hector
Event
Veröffentlichung
(who)
Institute of Labor Economics (IZA)
(where)
Bonn
(when)
2021

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Pham, Binh Thai
  • Sala, Hector
  • Institute of Labor Economics (IZA)

Time of origin

  • 2021

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