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Housing, Household Portfolio, and Intertemporal Elasticity of Substitution: Evidence from the Consumer Expenditure Survey

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  • Fuad Hasanov

    (Oakland University)

Abstract

This paper investigates whether the inclusion of housing in a household portfolio is important to the household’s intertemporal decision making. Households hold portfolios of assets rather than a Treasury bill and/or a stock index and make their spending decisions based on expected total returns of an array of assets. The total returns account for capital gains, taxes, and inflation. In addition to financial assets such as stocks and bonds, we incorporate a real asset, residential housing, into a household portfolio. In particular, we estimate the intertemporal elasticity of substitution (IES), that is, how a change in asset or portfolio return affects household’s consumption growth, using a sample of households from the Consumer Expenditure Survey. Since changes in housing return can affect consumption of households over time, we investigate whether the inclusion of housing in the household portfolio provides different IES estimates. Moreover, utilizing a household-level data set, we estimate IES parameters for different groups of assetholders. Our results indicate that the housing return positively affects consumption growth, and housing is an important asset to account for in the household portfolio.

Suggested Citation

  • Fuad Hasanov, 2005. "Housing, Household Portfolio, and Intertemporal Elasticity of Substitution: Evidence from the Consumer Expenditure Survey," Macroeconomics 0510011, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpma:0510011
    Note: Type of Document - pdf; pages: 35
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    References listed on IDEAS

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    Cited by:

    1. Lucas Bretschger & Lin Zhang, 2014. "Going beyond tradition: Carbon policy in a high-growth economy: The case of China," CER-ETH Economics working paper series 14/201, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    2. Bretschger, Lucas & Zhang, Lin, 2017. "Carbon policy in a high-growth economy: The case of China," Resource and Energy Economics, Elsevier, vol. 47(C), pages 1-19.
    3. Christos Karydas & Lin Zhang, 2017. "Green tax reform, endogenous innovation and the growth dividend," CER-ETH Economics working paper series 17/266, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    4. Bretschger, Lucas & Ramer, Roger & Schwark, Florentine, 2011. "Growth effects of carbon policies: Applying a fully dynamic CGE model with heterogeneous capital," Resource and Energy Economics, Elsevier, vol. 33(4), pages 963-980.
    5. Bretschger, Lucas & Lechthaler, Filippo & Rausch, Sebastian & Zhang, Lin, 2017. "Knowledge diffusion, endogenous growth, and the costs of global climate policy," European Economic Review, Elsevier, vol. 93(C), pages 47-72.
    6. Lucas Bretschger & Roger Ramer, 2012. "Sectoral Growth Effects of Energy Policies in an Increasing-Varieties Model of the Swiss Economy," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 137-166, June.
    7. Wen-ya Chang & Hsueh-fang Tsai & Juin-jen Chang & Kuo-Hao Lee, 2015. "Consumption tax, seigniorage tax and tax switch in a cash-in-advance economy of endogenous growth," Journal of Economics, Springer, vol. 114(1), pages 23-42, January.

    More about this item

    Keywords

    intertemporal elasticity of substitution; intertemporal choice; consumption; housing; household portfolio;

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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