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Spatial Market Inefficiency in Housing Market: A Spatial Quantile Regression Approach

Jiyoung Chae () and Anil K. Bera ()
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Jiyoung Chae: Federal Reserve Bank of Richmond
Anil K. Bera: University of Illinois at Urbana-Champaign

The Journal of Real Estate Finance and Economics, 2024, vol. 69, issue 1, No 3, 70-99

Abstract: Abstract This paper empirically tests housing market efficiency in the spatial dimension by using the spatial autoregressive conditional heteroskedastic (ARCH) and spatial quantile regression models. The tests were conducted in terms of both housing returns and squared returns (volatility). The sale price data used is from Cook County residential MLS for the years 2010–2016. The main findings are that housing returns are not spatially correlated but squared returns are spatially correlated, and the spatial dependence of squared returns seems to be stronger for higher squared return quantiles.

Keywords: Housing market; Market efficiency; Spatial dependence; Spatial volatility clustering; Spatial quantile regression (search for similar items in EconPapers)
JEL-codes: C21 G14 R23 R31 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11146-022-09923-y

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