Methodology and method for price-level forecasting in the building industry

作者: K.G. Runeson

DOI: 10.1080/01446198800000006

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摘要: This paper discusses the appropriate methodology for establishing a model forecasting building price movements and interpreting value statistics. The proposed is illustrated with an ordinary least squares (OLS) multiple regression quantifying effects on level of variations in degree competitiveness industry. dependent variable Market Conditions Index predictor variables are Building Approvals, Fixed Capital Formation Rate Unemployment. overcomes one most serious shortcomings previous models that it incorporates into adjustments to capacity industry response demand consequential improvement accuracy.

参考文章(5)
Richard de Neufville, Yves Lesage, Elias Nicholas Hani, Bidding Models: Effects of Bidders' Risk Aversion Journal of the Construction Division. ,vol. 103, pp. 57- 70 ,(1977) , 10.1061/JCCEAZ.0000671
Robert I. Carr, John W. Sandahl, Bidding Strategy Using Multiple Regression Journal of the Construction Division. ,vol. 104, pp. 15- 26 ,(1978) , 10.1061/JCCEAZ.0000753
. P. W. S. Andrews, Studies in Pricing ,(1975)
Kenneth M. Gaver, Jerold L. Zimmerman, An Analysis of Competitive Bidding on BART Contracts The Journal of Business. ,vol. 50, pp. 279- 295 ,(1977) , 10.1086/295946
R. G. Taylor, P. A. Bowen, Building price-level forecasting: an examination of techniques and applications Construction Management and Economics. ,vol. 5, pp. 21- 44 ,(1987) , 10.1080/01446198700000004