A state-level analysis of business cycle asymmetry

Bradley T. Ewing, Mark A. Thompson

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper provides a comprehensive examination of asymmetry in US state-level business cycles. We consider two different types of asymmetry in the adjustment process of a stationary time series: deepness and steepness. The data used in the study are a comparable set of state-level coincident indexes (SCIs) developed by the Federal Reserve Bank of Philadelphia. Specifically, results from using the momentum-threshold autoregressive model provide evidence of asymmetry in the growth rate of 23 SCIs as well as the equivalent national coincident index.

Original languageEnglish (US)
Pages (from-to)367-376
Number of pages10
JournalBulletin of Economic Research
Volume64
Issue number3
DOIs
StatePublished - Jul 1 2012

Fingerprint

Business cycle asymmetry
Levels of analysis
Asymmetry
Business cycles
Federal Reserve
Stationary time series
U.S. States
Momentum
Adjustment process
Threshold autoregressive model

Keywords

  • Asymmetry
  • Business cycles
  • Steepness
  • US states

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

A state-level analysis of business cycle asymmetry. / Ewing, Bradley T.; Thompson, Mark A.

In: Bulletin of Economic Research, Vol. 64, No. 3, 01.07.2012, p. 367-376.

Research output: Contribution to journalArticle

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