Price and nominal wage Phillips curves and the dynamics of distribution in Japan

Ryunosuke Sonoda

International Review of Applied Economics, 2017, vol. 31, issue 1, 28-44

Abstract: This study estimates two types of Phillips curves – the price Phillips curve and nominal wage Phillips curve – for the Japanese economy and analyses the institutional structure of the dynamics of effective demand and income distribution in each period from 1977 to 2007. The estimated results allow us to make the following three findings. First, the Japanese economy was a profit-led regime and a counter-cyclical wage share regime. The combination of regimes can make the dynamics of effective demand and income distribution unstable. Second, the dynamics of price and nominal wage do not reflect each other in Japan by labour–management cooperation. Finally, after 1997, the distributive regime in Japan switched from a counter-cyclical wage share to a pro-cyclical wage share regime because Japanese firms quickened their speeds of employment adjustment. As a result, the dynamics of effective demand and income distribution were stabilised.

Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/02692171.2016.1221387 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:irapec:v:31:y:2017:i:1:p:28-44

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CIRA20

DOI: 10.1080/02692171.2016.1221387

Access Statistics for this article

International Review of Applied Economics is currently edited by Professor Malcolm Sawyer

More articles in International Review of Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().