Nonlinearity and Limits to Forecasting in the Canadian Residential Housing Market

C-Rene Dominique (), F. Desrosiers and L. Kiss

Working Papers from Laval - Recherche en Politique Economique

Abstract: Time series of the International Urban Housing Market, whether stationary or not, look highly irregular and yet they are often summarily fitted in linear models for forecasting purposes. This paper investigates the issue of nonlinearity by first extending the power of Range Rescaling analysis to uncover and to identify any type of nonlinearity that might be present in temporal sequences and next applies it to monthly supply and prices data (from 1949-01 to 1995-01) of the Canadian residential housing market.

Keywords: CONSTRUCTION; HOUSING; BUSINESS CYCLES; MODELS (search for similar items in EconPapers)
JEL-codes: L74 C10 C60 E32 (search for similar items in EconPapers)
Date: 1996

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Working Paper: Nonlinearity and Limits to Forecasting in the Canadian Residential Housing Market (1996)
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: http://EconPapers.repec.org/RePEc:fth:lavape:9605

Access Statistics for this paper

More papers in Working Papers from Laval - Recherche en Politique Economique
Address: UNIVERSITE LAVAL, GREPE DEPARTEMENT D'ECONOMIQUE, QUEBEC G1K 7P4.
Contact information at EDIRC.
Series data maintained by Thomas Krichel ().