Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/110936
Authors: 
Jadevicius, Arvydas
Year of Publication: 
2014
Citation: 
[Journal:] REGION [ISSN:] 2409-5370 [Volume:] 1 [Issue:] 1 [Year:] 2014 [Pages:] Y1-Y7
Abstract: 
Econometric modelling of the property market has been exercised for several decades. Despite advancements in the field, there is still an element of uncertainty in property market modelling and forecasting. This uncertainty arises due to prevailing modelling practices. On one hand, researchers select the best performing model and disregard alternatives. On the other hand, researchers face a dilemma in deciding which model to choose when competing specifications produce different results. A possible solution is to use the principle of combination forecasting to reduce uncertainty and improve accuracy. Certainly, combination forecasting has its limitations. One criticism is that combination forecasting has predominantly focused on national property markets analysis. To enhance the application of combination forecasting, it would be useful to use it in research on regional markets analysis.
Subjects: 
Combination
Forecasting
Property
Uncertainty
Urban Economics
UK
Creative Commons License: 
http://creativecommons.org/licenses/by-nc/4.0
Document Type: 
Article

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