Linking U.S. State-Level Housing Market Returns and the Consumption-(Dis)Aggregate Wealth Ratio

Mehmet Balcilar, Rangan Gupta, Ricardo Sousa and Mark Wohar ()

No 202094, Working Papers from University of Pretoria, Department of Economics

Abstract: Using state-level data for the U.S. housing market over the period of 1975:Q1-2012:Q2, we show that the consumption-wealth ratios derived from aggregate wealth (cay) and disaggregate (i.e. financial and housing) wealth (cday) are strong predictors of real housing returns (and their volatility). Additionally, we find that, barring the extreme ends of their respective conditional distributions, such effect is stronger for housing return volatility than housing returns. All in all, our findings show that state-level regressions can recover a large degree of heterogeneity that country-level exercises typically ignore. Such heterogeneity is prominent not only in terms of consumption smoothing behavior, but also with regard to housing return predictability.

Keywords: consumption-wealth ratio; housing returns; volatility; forecasting; nonparametric causality-in-quantiles test (search for similar items in EconPapers)
JEL-codes: C22 R31 (search for similar items in EconPapers)
Pages: pages
Date: 2020-10
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Journal Article: Linking U.S. State-level housing market returns, and the consumption-(Dis)Aggregate wealth ratio (2021)
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