The evolution of US and UK GDP components in the time-frequency domain: A continuous wavelet analysis

Arbeitspapier

Understanding the relationship between national income GDP components is an essential part of macroeconomics. This study investigates quarterly real GDP component data for the U.S. and the U.K. and applies continuous wavelet analysis on cross comparisons of the data, from both within and between the two datasets. The results show that the cyclical interactions between consumption and investment are the most complex and most substantial at several different frequencies. The relationship of exports with other macroeconomic variables has also developed over time, likely due to the evolution of an international business cycle.

Object Details

• ISBN: 978-952-323-300-3
• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Bank of Finland Research Discussion Papers ; No. 23/2019

Classification and Topics

• Classification: Wirtschaft ; Econometric and Statistical Methods: Special Topics: Other ; Business Fluctuations; Cycles ; International Business Cycles ; Macroeconomic Issues of Monetary Unions ; Economic Impacts of Globalization: Macroeconomic Impacts

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Crowley, Patrick M. ; Hughes Hallett, Andrew
• Event: Veröffentlichung
• (who): Bank of Finland
• (where): Helsinki
• (when): 2019

Further information

• Handle: http://hdl.handle.net/10419/212457
• Last update: 10.03.2025, 11:43 AM CET