Predicting changes in Canadian housing markets with machine learning / by Johan Brannlund, Helen Lao, Maureen MacIsaac and Jing Yang.: FB3-6/2023-21E-PDF

"This paper examines whether machine learning (ML) algorithms can outperform a linear model in predicting monthly growth in Canada of both house prices and existing home sales. The aim is to apply two widely used ML techniques (support vector regression and multilayer perceptron) in economic forecasting to understand their scopes and limitations. We find that the two ML algorithms can perform better than a linear model in forecasting house prices and resales. However, the improvement in forecast accuracy is not always statistically significant. Therefore, we cannot systematically conclude using traditional time-series data that the ML models outperform the linear model in a significant way. Future research should explore non-traditional data sets to fully take advantage of ML methods"--Abstract, page iii.

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publications.gc.ca/pub?id=9.928089&sl=0

Publication information
Department/Agency Bank of Canada, issuing body.
Title Predicting changes in Canadian housing markets with machine learning / by Johan Brannlund, Helen Lao, Maureen MacIsaac and Jing Yang.
Series title Staff discussion paper = Document d'analyse du personnel, 1914-0568 ; 2023-21
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) ISSN assigned to different series.
"Last updated: September 29, 2023."
Includes bibliographical references (page 15).
Includes abstracts in English and French.
Publishing information [Ottawa] : Bank of Canada = Banque du Canada, 2023.
©2023
Author / Contributor Brannlund, Johan, author.
Description 1 online resource (iii, 15 pages) : illustrations (chiefly colour).
Catalogue number
  • FB3-6/2023-21E-PDF
Subject terms Housing -- Prices -- Canada -- Forecasting.
House buying -- Canada -- Forecasting.
Support vector machines.
Perceptrons.
Logement -- Prix -- Canada -- Prévision.
Habitations -- Achat -- Canada -- Prévision.
Machines à vecteurs supports.
Perceptrons.
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