Heterogeneous regression models for clusters of spatial dependent data
Author:
Affiliation:
1. College of Economics, Shenzhen University, Shenzhen, China.
2. Department of Statistics, University of Connecticut, Storrs, CT, USA.
3. Department of Statistics, University of Missouri Columbia, Columbia, MO, USA.
Publisher
Informa UK Limited
Subject
Earth and Planetary Sciences (miscellaneous),Statistics, Probability and Uncertainty,General Economics, Econometrics and Finance,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/17421772.2020.1784989
Reference32 articles.
1. A heterogeneous coefficient approach to the knowledge production function
2. A two-step approach to account for unobserved spatial heterogeneity
3. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity
4. Heterogeneity in Perceptions of Noise and Air Pollution: A Spatial Quantile Approach on the City of Madrid
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