The determinants of demand for single family housing in Alabama urbanized areas

Author:

Kagochi John M.,Mace Lesley M.

Abstract

PurposeThe purpose of this paper is to analyze factors that determine the demand for single family houses in Alabama urbanized areas, commonly referred to as metropolitan statistical areas (MSAs).Design/methodology/approachThis paper builds and estimates a housing demand model that incorporates both macroeconomic and housing‐related variables using a panel time series data for 1988‐2007. The study is different from past research, which mainly focuses on housing demand at the state or national level, by looking at the factors influencing demand for housing at the MSAs level.FindingsThe study finds that demand for new single family houses in Alabama MSAs is influenced by both national economic factors and local factors. Population growth and increased sale of existing houses increase demand for new single family houses in the MSAs. On the contrary, increased cost of building a new house, higher real mortgage interest rates and unemployment rates are found to reduce the demand for new houses.Originality/valueThis study is one of the few studies that focus on housing demand at the local level, particularly in the US housing market. Since demand for housing will always be local and therefore influenced mostly by local conditions, the result reveal unique dynamics that are specific to the MSAs.

Publisher

Emerald

Subject

General Economics, Econometrics and Finance

Reference45 articles.

1. Abraham, J.M. and Hendershott, P.H. (1996), “Bubbles in metropolitan housing markets”, Journal of Housing Research, Vol. 7, pp. 191‐207.

2. Advameg, Inc. (2008), “Alabama‐migration”, available at: www.city‐data.com (accessed 11 July).

3. Alabama Center for Real Estate (ACRE) (2008), “Housing statistics”, Alabama Center for Real Estate (ACRE), The University of Alabama, available at: www.acre.cba.ua.edu/ (accessed 9 June).

4. Aspergis, N. (2003), “Housing prices and macroeconomic factors: prospects within the European Monetary Union”, International Real Estate Review, Vol. 6 No. 1, pp. 63‐74.

5. Beaver, W.H., Griffin, P.A. and Landsman, W.R. (1982), “The incremental information content of replacement cost earnings”, Journal of Accounting and Economics, Vol. 4, pp. 15‐39.

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