Stats NZ has a new website.

For new releases go to

www.stats.govt.nz

As we transition to our new site, you'll still find some Stats NZ information here on this archive site.

  • Share this page to Facebook
  • Share this page to Twitter
  • Share this page to Google+
Cycle Identification: An old approach to (relatively) new statistics

Louis Liu, Eldon Paki, James Stonehouse, and Jing You
Development, Environment, Satellites, and Strategy
Statistics New Zealand, PO Box 2922 Wellington, New Zealand 

info@stats.govt.nz 

Abstract

Whether looking at New Zealand’s economy or the global economy, it is important to understand and appreciate business and growth cycles. The first step to understanding cycles is to correctly identify them. Economists usually reference the time domain to identify cycles. We take an alternative view, and reference the frequency domain instead.

We ran Fourier analysis on several data sources to demonstrate how the frequency domain can reveal cyclical behaviour. The data included electricity demand, foreign exchange, monthly retail sales, quarterly GDP, labour market, and productivity statistics.

pdf icon.  Cycle Identification: An old approach to (relatively) new statistics (PDF, 21 pages, 425 kb)

 

  • Share this page to Facebook
  • Share this page to Twitter
  • Share this page to Google+
Top
  • Share this page to Facebook
  • Share this page to Twitter
  • Share this page to Google+