Business cycle turning points based on DEA-discriminant analysis

Tomoyuki Yagi, Masako Takahashi

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Recently, the turning points of business cycle are decided with wide viewpoints after passing a couple of years from the points. This study tries to develop a model for judging the turning points in real-time by using a non-parametric approach, DEA-discriminant analysis, because we have sometimes faced sudden changes of economy and non-parametric approaches are useful for covering these movements. The constructed model succeeds to separate periods in Japanese economic expanding and recession terms, and the model would be helpful for the real-time judgments of the turning points of business cycle.

Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalApplied Economics
DOIs
Publication statusAccepted/In press - 2016 Apr 6

Fingerprint

Business cycles
Turning point
Discriminant analysis
Economics
Recession

Keywords

  • business cycle
  • DEA
  • discriminant analysis
  • turning point

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

Business cycle turning points based on DEA-discriminant analysis. / Yagi, Tomoyuki; Takahashi, Masako.

In: Applied Economics, 06.04.2016, p. 1-6.

Research output: Contribution to journalArticle

Yagi, Tomoyuki ; Takahashi, Masako. / Business cycle turning points based on DEA-discriminant analysis. In: Applied Economics. 2016 ; pp. 1-6.
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