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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4359

Title: Blessing of dimensionality in forecasting real house price growth in the nine census divisions of the US: 57th International Statistical Institute Conference 2009
Authors: Das, S
Gupta, R
Kabundi, A
Keywords: Forecasting
House price growth
US house price growth
Housing markets
Macroeconomic variables
Census divisions
Issue Date: Aug-2009
Citation: Das, S, Gupta, R and Kabundi, A. 2009. Blessing of dimensionality in forecasting real house price growth in the nine census divisions of the US. 57th International Statistical Institute Conference, Durban. pp 24
Abstract: This presentation deals with forecasting real house price growth in the nine census divisions of the US. Data rich environment of the FAVAR models that include a wide range of macroeconomic series of the US economy, besides the house price growth rates of the census divisions, are more informative when forecasting the house price growth rate of the nine census regions. The role of fundamentals in affecting the housing market cannot be underestimated. What is needed first is a detailed look at the factors to determine the dominant macroeconomic variables that comprise these factors, and secondly to incorporate the role of the house price growth rate of the neighboring division(s) in the forecasting process of a particular census division, by developing spatial versions of the various models.
Description: 57th International Statistical Institute Conference, Durban, 2009.
URI: http://hdl.handle.net/10204/4359
Appears in Collections:Resource-based sustainable development
Infrastructure engineering
Infrastructure systems and operations
Logistics and quantitative methods
General science, engineering & technology

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