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Nominal Loss Aversion, Housing Equity Constraints, and Household Mobility: Evidence from the United States

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Abstract

This paper exploits the significant recent variation in United States house prices to empirically examine the effect on housing equity constraints and nominal loss aversion on household mobility. The analysis uses unique, detailed data from 1985-1996 on household characteristics, mobility, and wealth from the National Longitudinal Survey of Youth (NLSY79) matched with house price data from 149 metropolitan areas to estimate semiparametric proportional hazard models of intra- and inter-metropolitan mobility. There are five principal findings: (1) household intra-metropolitan own-to-own mobility responds differently to nominal housing losses than to gains; (2) nominal loss aversion is significantly less pronounced in intra-metropolitan own-to-rent and inter-metropolitan mobility, respectively; (3) there is some evidence of binding equity constraints in intra-metropolitan own-to-own mobility; (4) there is little evidence that low equity constrains intra-metropolitan own-to-rent and inter-metropolitan mobility, respectively; (5) a comparison of the estimated effects indicates that nominal loss aversion has a more dominant effect than equity constraints in restricting household mobility, roughly two and one-half to three times the impact of equity constraints.

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  • Gary Engelhardt, 2001. "Nominal Loss Aversion, Housing Equity Constraints, and Household Mobility: Evidence from the United States," Center for Policy Research Working Papers 42, Center for Policy Research, Maxwell School, Syracuse University.
  • Handle: RePEc:max:cprwps:42
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    File URL: https://surface.syr.edu/cpr/115/
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    3. Tsai, I-Chun & Peng, Chien-Wen, 2016. "Linear and nonlinear dynamic relationships between housing prices and trading volumes," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 172-184.
    4. Balcilar, Mehmet & Gupta, Rangan & Shah, Zahra B., 2011. "An in-sample and out-of-sample empirical investigation of the nonlinearity in house prices of South Africa," Economic Modelling, Elsevier, vol. 28(3), pages 891-899, May.
    5. Sei-Wan Kim & Radha Bhattacharya, 2009. "Regional Housing Prices in the USA: An Empirical Investigation of Nonlinearity," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 443-460, May.

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    JEL classification:

    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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