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An assessment of coefficient accuracy in linear regression models with spatially varying coefficients

Author

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  • David Wheeler
  • Catherine Calder
Abstract
No abstract is available for this item.

Suggested Citation

  • David Wheeler & Catherine Calder, 2007. "An assessment of coefficient accuracy in linear regression models with spatially varying coefficients," Journal of Geographical Systems, Springer, vol. 9(2), pages 145-166, June.
    • Handle: RePEc:kap:jgeosy:v:9:y:2007:i:2:p:145-166
    DOI: 10.1007/s10109-006-0040-y
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    References listed on IDEAS

    as
    1. Yefang Huang & Yee Leung, 2002. "Analysing regional industrialisation in Jiangsu province using geographically weighted regression," Journal of Geographical Systems, Springer, vol. 4(2), pages 233-249, June.
    2. Alan Gelfand & Alexandra Schmidt & Sudipto Banerjee & C. Sirmans, 2004. "Nonstationary multivariate process modeling through spatially varying coregionalization," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 13(2), pages 263-312, December.
    3. Gelfand A.E. & Kim H-J. & Sirmans C.F. & Banerjee S., 2003. "Spatial Modeling With Spatially Varying Coefficient Processes," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 387-396, January.
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    Citations

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    Cited by:

    1. Kubiszewski, Ida & Jarvis, Diane & Zakariyya, Nabeeh, 2019. "Spatial variations in contributors to life satisfaction: An Australian case study," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    2. Are Oust & Simen N. Hansen & Tobias R. Pettrem, 2020. "Combining Property Price Predictions from Repeat Sales and Spatially Enhanced Hedonic Regressions," The Journal of Real Estate Finance and Economics, Springer, vol. 61(2), pages 183-207, August.
    3. Saravanan Veluswami Subramanian & Min Jung Cho & Fotima Mukhitdinova, 2018. "Health Risk in Urbanizing Regions: Examining the Nexus of Infrastructure, Hygiene and Health in Tashkent Province, Uzbekistan," IJERPH, MDPI, vol. 15(11), pages 1-16, November.
    4. Paolo Postiglione & M. Andreano & Roberto Benedetti, 2013. "Using Constrained Optimization for the Identification of Convergence Clubs," Computational Economics, Springer;Society for Computational Economics, vol. 42(2), pages 151-174, August.
    5. M. Bárcena & P. Menéndez & M. Palacios & F. Tusell, 2014. "Alleviating the effect of collinearity in geographically weighted regression," Journal of Geographical Systems, Springer, vol. 16(4), pages 441-466, October.
    6. repec:rre:publsh:v:51:y:2021:i:2 is not listed on IDEAS
    7. Gollini, Isabella & Lu, Binbin & Charlton, Martin & Brunsdon, Christopher & Harris, Paul, 2015. "GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i17).
    8. Jakob A. Dambon & Stefan S. Fahrländer & Saira Karlen & Manuel Lehner & Jaron Schlesinger & Fabio Sigrist & Anna Zimmermann, 2022. "Examining the vintage effect in hedonic pricing using spatially varying coefficients models: a case study of single-family houses in the Canton of Zurich," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-14, December.
    9. Cem Ertur & Julie Le Gallo, 2008. "Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches," Working Papers hal-00463274, HAL.
    10. John I. Carruthers & David E. Clark, 2010. "Valuing Environmental Quality: A Space‐Based Strategy," Journal of Regional Science, Wiley Blackwell, vol. 50(4), pages 801-832, October.
    11. David C Wheeler, 2009. "Simultaneous Coefficient Penalization and Model Selection in Geographically Weighted Regression: The Geographically Weighted Lasso," Environment and Planning A, , vol. 41(3), pages 722-742, March.
    12. Declan Curran, 2012. "British regional growth and sectoral trends: global and local spatial econometric approaches," Applied Economics, Taylor & Francis Journals, vol. 44(17), pages 2187-2201, June.
    13. A. Stewart Fotheringham & Taylor M. Oshan, 2016. "Geographically weighted regression and multicollinearity: dispelling the myth," Journal of Geographical Systems, Springer, vol. 18(4), pages 303-329, October.
    14. M. Simona Andreano & Roberto Benedetti & Andrea Mazzitelli & Federica Piersimoni, 2018. "Spatial autocorrelation and clusters in modelling corporate bankruptcy of manufacturing firms," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 45(4), pages 475-491, December.
    15. Antonio Páez & Steven Farber & David Wheeler, 2011. "A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships," Environment and Planning A, , vol. 43(12), pages 2992-3010, December.
    16. Christos Agiakloglou & Cleon Tsimbos & Apostolos Tsimpanos, 2019. "Evidence of spurious results along with spatially autocorrelated errors in the context of geographically weighted regression for two independent SAR(1) processes," Empirical Economics, Springer, vol. 57(5), pages 1613-1631, November.
    17. David Wheeler & Lance Waller, 2009. "Comparing spatially varying coefficient models: a case study examining violent crime rates and their relationships to alcohol outlets and illegal drug arrests," Journal of Geographical Systems, Springer, vol. 11(1), pages 1-22, March.
    18. Si-Lian Shen & Chang-Lin Mei & Ying-Jian Zhang, 2011. "Spatially Varying Coefficient Models: Testing for Spatial Heteroscedasticity and Reweighting Estimation of the Coefficients," Environment and Planning A, , vol. 43(7), pages 1723-1745, July.
    19. Maria Terres & Alan Gelfand, 2015. "Using spatial gradient analysis to clarify species distributions with application to South African protea," Journal of Geographical Systems, Springer, vol. 17(3), pages 227-247, July.
    20. David C. Wheeler & Antonio Páez & Jamie Spinney & Lance A. Waller, 2014. "A Bayesian approach to hedonic price analysis," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 663-683, August.
    21. Redfearn, Christian L., 2009. "How informative are average effects? Hedonic regression and amenity capitalization in complex urban housing markets," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 297-306, May.
    22. Shiliang Su & Yue Gong & Bingqing Tan & Jianhua Pi & Min Weng & Zhongliang Cai, 2017. "Area Social Deprivation and Public Health: Analyzing the Spatial Non-stationary Associations Using Geographically Weighed Regression," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 819-832, September.
    23. Shuqiang Xue & Yuanxi Yang & Yamin Dang, 2016. "Formulas for precisely and efficiently estimating the bias and variance of the length measurements," Journal of Geographical Systems, Springer, vol. 18(4), pages 399-415, October.

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