Nonlinear models, composite longer leading indicator and forecasts for UK real GDP


Ocal N.

APPLIED ECONOMICS, vol.38, no.9, pp.1049-1053, 2006 (Journal Indexed in SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 9
  • Publication Date: 2006
  • Doi Number: 10.1080/00036840500399784
  • Title of Journal : APPLIED ECONOMICS
  • Page Numbers: pp.1049-1053

Abstract

This paper examines the role of the Office for National Statistics Composite Longer Leading Indicator, in nonlinear business cycle models for growth rates of UK real gross domestic product (GDP). These models are of the smooth transition regression class, with the transition between "regimes'' expressed as functions of lagged changes in the leading indicator. In general, evidence is found of business cycle regime asymmetries, with increases and decreases in the leading indicator implying distinct responses for the dependent variable. Single transition function appears to capture these asymmetries satisfactorily. Nonlinear models provide more accurate one-step ahead forecasts than corresponding linear leading indicator models.