IDEAS home Printed from https://ideas.repec.org/r/bla/reesec/v30y2002i4p505-532.html
   My bibliography  Save this item

Predicting Spatial Patterns of House Prices Using LPR and Bayesian Smoothing

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Jos魍ar𨁍ontero-Lorenzo & Beatriz Larraz-Iribas, 2012. "Space-time approach to commercial property prices valuation," Applied Economics, Taylor & Francis Journals, vol. 44(28), pages 3705-3715, October.
  2. Jorge Chica-Olmo, 2007. "Prediction of Housing Location Price by a Multivariate Spatial Method: Cokriging," Journal of Real Estate Research, American Real Estate Society, vol. 29(1), pages 95-114.
  3. Clapp, John M. & Wang, Yazhen, 2006. "Defining neighborhood boundaries: Are census tracts obsolete?," Journal of Urban Economics, Elsevier, vol. 59(2), pages 259-284, March.
  4. Yong Tu & Hua Sun & Shi-Ming Yu, 2007. "Spatial Autocorrelations and Urban Housing Market Segmentation," The Journal of Real Estate Finance and Economics, Springer, vol. 34(3), pages 385-406, April.
  5. 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.
  6. J Aznar & J Ferrís-Oñate & F Guijarro, 2010. "An ANP framework for property pricing combining quantitative and qualitative attributes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 740-755, May.
  7. Joshua H. Gallin & Raven S. Molloy & Eric R. Nielsen & Paul A. Smith & Kamila Sommer, 2018. "Measuring Aggregate Housing Wealth : New Insights from an Automated Valuation Model," Finance and Economics Discussion Series 2018-064, Board of Governors of the Federal Reserve System (U.S.).
  8. Enwei Zhu & Jing Wu & Hongyu Liu & Xindian Li, 2022. "Within‐City Spatial Distribution, Heterogeneity and Diffusion of House Price: Evidence from a Spatiotemporal Index for Beijing," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(3), pages 621-655, September.
  9. Salvati, Luca & Ciommi, Maria Teresa & Serra, Pere & Chelli, Francesco M., 2019. "Exploring the spatial structure of housing prices under economic expansion and stagnation: The role of socio-demographic factors in metropolitan Rome, Italy," Land Use Policy, Elsevier, vol. 81(C), pages 143-152.
  10. Mynbaev, Kairat & Ibrayeva, Saniya, 2011. "Housing market of Almaty," MPRA Paper 36683, University Library of Munich, Germany.
  11. Carlos Felipe Balcázar & Lidia Ceriani & Sergio Olivieri & Marco Ranzani, 2017. "Rent‐Imputation for Welfare Measurement: A Review of Methodologies and Empirical Findings," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 881-898, December.
  12. Jose Montero & Beatriz Larraz, 2010. "Estimating Housing Prices: A Proposal with Spatially Correlated Data," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 16(1), pages 39-51, February.
  13. William Cheung & Lewen Guo & Yuichiro Kawaguchi, 2021. "Automated valuation model for residential rental markets: evidence from Japan," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-34, December.
  14. Sebastain Awondo & Harris Hollans & Lawrence Powell & Chip Wade, 2023. "Estimating the effects of wind loss mitigation on home value," Southern Economic Journal, John Wiley & Sons, vol. 90(1), pages 71-89, July.
  15. Bin, Okmyung, 2004. "A prediction comparison of housing sales prices by parametric versus semi-parametric regressions," Journal of Housing Economics, Elsevier, vol. 13(1), pages 68-84, March.
  16. Alan T. K. Wan & Shangyu Xie & Yong Zhou, 2017. "A varying coefficient approach to estimating hedonic housing price functions and their quantiles," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(11), pages 1979-1999, August.
  17. W. Brunauer & S. Lang & P. Wechselberger & S. Bienert, 2010. "Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna," The Journal of Real Estate Finance and Economics, Springer, vol. 41(4), pages 390-411, November.
  18. repec:asg:wpaper:1006 is not listed on IDEAS
  19. José-María Montero-Lorenzo & Beatriz Larraz-Iribas & Antonio Páez, 2009. "Estimating commercial property prices: an application of cokriging with housing prices as ancillary information," Journal of Geographical Systems, Springer, vol. 11(4), pages 407-425, December.
  20. Daniel Lo & Kwong Wing Chau & Siu Kei Wong & Michael McCord & Martin Haran, 2022. "Factors Affecting Spatial Autocorrelation in Residential Property Prices," Land, MDPI, vol. 11(6), pages 1-16, June.
  21. Wolfgang Brunauer & Stefan Lang & Peter Wechselberger & Sven Bienert, 2008. "Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna," Working Papers 2008-17, Faculty of Economics and Statistics, Universität Innsbruck.
  22. Stephen A. Samaha & Wagner A. Kamakura, 2008. "Assessing the Market Value of Real Estate Property with a Geographically Weighted Stochastic Frontier Model," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(4), pages 717-751, December.
  23. Alicia Rambaldi & Ryan McAllister & Kerry Collins & Cameron Fletcher, 2011. "An Unobserved Components Approach to Separating Land from Structure in Property Prices: A Case Study for the City of Brisbane," Discussion Papers Series 428, School of Economics, University of Queensland, Australia.
  24. Norman G. Miller & Michael A. Sklarz & Thomas G. Thibodeau, 2005. "The Impact of Interest Rates and Employment on Nominal Housing Prices," International Real Estate Review, Global Social Science Institute, vol. 8(1), pages 27-43.
  25. repec:kap:iaecre:v:16:y:2010:i:1:p:39-51 is not listed on IDEAS
  26. Girum D. Abate & Luc Anselin, 2016. "House price fluctuations and the business cycle dynamics," CREATES Research Papers 2016-06, Department of Economics and Business Economics, Aarhus University.
  27. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.