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Bayesian Inference in Spatial Stochastic Volatility Models: An Application to House Price Returns in Chicago

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  • Süleyman Taşpınar
  • Osman DoĞan
  • Jiyoung Chae
  • Anil K. Bera

Abstract

In this study, we propose a spatial stochastic volatility model in which the latent log‐volatility terms follow a spatial autoregressive process. Though there is no spatial correlation in the outcome equation (the mean equation), the spatial autoregressive process defined for the log‐volatility terms introduces spatial dependence in the outcome equation. To introduce a Bayesian Markov chain Monte Carlo (MCMC) estimation algorithm, we transform the model so that the outcome equation takes the form of log‐squared terms. We approximate the distribution of the log‐squared error terms of the outcome equation with a finite mixture of normal distributions so that the transformed model turns into a linear Gaussian state‐space model. Our simulation results indicate that the Bayesian estimator has satisfactory finite sample properties. We investigate the practical usefulness of our proposed model and estimation method by using the price returns of residential properties in the broader Chicago Metropolitan area.

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  • Süleyman Taşpınar & Osman DoĞan & Jiyoung Chae & Anil K. Bera, 2021. "Bayesian Inference in Spatial Stochastic Volatility Models: An Application to House Price Returns in Chicago," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1243-1272, October.
    • Handle: RePEc:bla:obuest:v:83:y:2021:i:5:p:1243-1272
    DOI: 10.1111/obes.12425
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    3. Christian Glocker & Matteo Iacopini & Tam'as Krisztin & Philipp Piribauer, 2023. "A Bayesian Markov-switching SAR model for time-varying cross-price spillovers," Papers 2310.19557, arXiv.org.
    4. Philipp Otto, 2022. "A Multivariate Spatial and Spatiotemporal ARCH Model," Papers 2204.12472, arXiv.org.
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    6. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2022. "Dynamic Spatiotemporal ARCH Models," Papers 2202.13856, arXiv.org.

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