The Predictive Power of Anisotropic Spatial Correlation Modeling in Housing Prices
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DOI: 10.1007/s11146-009-9209-8
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Cited by:
- Fritsch, Markus & Haupt, Harry & Ng, Pin T., 2016. "Urban house price surfaces near a World Heritage Site: Modeling conditional price and spatial heterogeneity," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 260-275.
- Rodrigo García Arancibia & Pamela Llop & Mariel Lovatto, 2023. "Nonparametric prediction for univariate spatial data: Methods and applications," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 635-672, June.
- Basile, Roberto & Durbán, María & Mínguez, Román & María Montero, Jose & Mur, Jesús, 2014. "Modeling regional economic dynamics: Spatial dependence, spatial heterogeneity and nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 229-245.
- Lingxiao Li & Abdullah Yavas & Bing Zhu, 2023. "Externalities of residential property flipping," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(1), pages 233-271, January.
- Bing Zhu & Stanimira Milcheva, 2020. "The Pricing of Spatial Linkages in Companies’ Underlying Assets," The Journal of Real Estate Finance and Economics, Springer, vol. 61(3), pages 443-475, October.
- Prodosh Simlai, 2018. "Spatial Dependence, Idiosyncratic Risk, and the Valuation of Disaggregated Housing Data," The Journal of Real Estate Finance and Economics, Springer, vol. 57(2), pages 192-230, August.
- Jin Zhao, 2015. "The Anisotropic Spatiotemporal Estimation of Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 50(4), pages 484-516, May.
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Keywords
Spatial regression; Hedonic price model; Anisotropic spatial correlation; Simultaneous autoregressive model; Housing market;All these keywords.
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