Heterogeneous Regression Models for Clusters of Spatial Dependent Data

Zhihua Ma, Yishu Xue and Guanyu Hu

Papers from arXiv.org

Abstract: In economic development, there are often regions that share similar economic characteristics, and economic models on such regions tend to have similar covariate effects. In this paper, we propose a Bayesian clustered regression for spatially dependent data in order to detect clusters in the covariate effects. Our proposed method is based on the Dirichlet process which provides a probabilistic framework for simultaneous inference of the number of clusters and the clustering configurations. The usage of our method is illustrated both in simulation studies and an application to a housing cost dataset of Georgia.

Date: 2019-07, Revised 2020-04
New Economics Papers: this item is included in nep-ecm and nep-ore
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