Rationality, Bias and Accuracy in Housing Start Forecasts

2014 ◽  
Keyword(s):  
Housing Start

Accuracy of Regional Single-Family Housing Start Forecasts

2000 ◽  
Vol 11 (1) ◽  
pp. 109-120
Author(s):  
Thomas Fullerton, Jr. ◽  
Juan Luevano ◽  
Carol West
Keyword(s):  
Single Family ◽  
Family Housing ◽  
Housing Start

Regional multi-family housing start forecast accuracy

2001 ◽  
Vol 17 (2) ◽  
pp. 171-180 ◽  
Author(s):  
Thomas M Fullerton ◽  
Mika M Laaksonen ◽  
Carol T West
Keyword(s):  
Forecast Accuracy ◽  
Family Housing ◽  
Housing Start

scholarly journals Regional Econometric Housing Start Forecast Accuracy in Florida

1998 ◽  
Author(s):  
Thomas M. Fullerton Jr. ◽  
Carol A. Taylor West
Keyword(s):  
Forecast Accuracy ◽  
Housing Start

Community Housing Start-Up Process

2021 ◽  
pp. 163-166
Author(s):  
Mariana Amatullo ◽  
Bryan Boyer ◽  
Jennifer May ◽  
Andrew Shea
Keyword(s):  
Start Up ◽  
Housing Start

The Canadian lumber industry and the macroeconomy: a vector autoregression analysis

1991 ◽  
Vol 21 (3) ◽  
pp. 288-299 ◽  
Author(s):  
Sarah Jennings ◽  
Wiktor Adamowicz ◽  
Luis Constantino
Keyword(s):  
Model Specification ◽  
Forest Sector ◽  
Vector Autoregressive Model ◽  
Lumber Industry ◽  
Vector Autoregressive ◽  
Rate Effects ◽  
Alternate Model ◽  
Strong Exchange ◽  
Housing Start ◽  
Forest Sector Modeling

The nature of the relationships between the Canadian lumber industry and the macroeconomy are investigated by estimating a 10-variable, three-lag vector autoregressive model for the period 1968 to 1987. We find that housing-start activity in North America has a prolonged and significant effect on the level of Canadian lumber production, exports, and prices. However, our results do not support the existence of strong exchange and interest-rate effects in the lumber sector. The use of general equilibrium specifications in forest sector modeling is suggested by the analysis. We explore the robustness of our results to alternate model specification and estimation procedures and identify problems that merit further investigation.

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