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A Consumer and Investment Model of Housing Demand of Iran: Estimation and Policy Implications

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  • Mohsen Amini Khouzani
  • Davoud Behboudi
  • Parviz Mohammadzadeh
  • Mahmoud Shirkosh
  • Ehsan Rajabi

Abstract

This paper presents a study of the housing demand in Iran according to the consumer and investment approach during the period of 1995-2011. The first approach is based on a statistical evaluation of the consumer function, based on system equations, which describes the consumer housing demand as five groups of consumer goods and services. The second approach evaluates the consumer housing demand as a separate investment good, which depends on several factors. Based on the achieved results, the paper makes an analysis of the influence of the different factors on the consumer housing demand.In consumer approach behavior of the consumers of deciles urban households in all over the country has been assessed, through the panel data by using the Linear Expenditure System (LES) with using Seemingly Unrelated Regression Estimation (SURE) housing consumption demand of households are estimated. Result shows that housing market has been support law of demand with negative income elasticity of 0.81. Also the cross-elasticity of all groups are negative which is indicating that these commodities are supplement for the housing good in the consumption household budget. The second approach, capital characteristic of the commodity, investigates the impact of price house, and household income, local gold price, consumer goods price index and housing credits on effective housing demand of Iran in same period. The main result of this approach is that price elasticity of housing is positive.

Suggested Citation

  • Mohsen Amini Khouzani & Davoud Behboudi & Parviz Mohammadzadeh & Mahmoud Shirkosh & Ehsan Rajabi, 2016. "A Consumer and Investment Model of Housing Demand of Iran: Estimation and Policy Implications," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 41-58.
  • Handle: RePEc:bas:econst:y:2016:i:2:p:41-58
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    References listed on IDEAS

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    1. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
    2. Paul Lewis, 2005. "Can State Review of Local Planning Increase Housing Production?," Housing Policy Debate, Taylor & Francis Journals, vol. 16(2), pages 173-200.
    3. Green, Richard K., 1996. "Should the stagnant homeownership rate be a source of concern?," Regional Science and Urban Economics, Elsevier, vol. 26(3-4), pages 337-368, June.
    4. Cathleen Whiting, 2004. "Income Inequality, the Income Cost of Housing, and the Myth of Market Efficiency," American Journal of Economics and Sociology, Wiley Blackwell, vol. 63(4), pages 851-879, October.
    5. Mulatu Wubneh & Guoqiang Shen, 2004. "The Impact of Manufactured Housing on Adjacent Residential Property Values: A GIS Approach Based on Three North Carolina Counties," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 16(1), pages 56-73, March.
    6. Karl E. Case & Robert J. Shiller, 2003. "Is There a Bubble in the Housing Market?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 299-362.
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    More about this item

    JEL classification:

    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

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