Hedonic approaches based on spatial econometrics and spatial statistics: application to evaluation of project benefits
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Bibliographic InfoArticle provided by Springer in its journal Journal of Geographical Systems.
Volume (Year): 11 (2009)
Issue (Month): 4 (December)
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Web page: http://www.springerlink.com/link.asp?id=103079
Benefits evaluation; Spatial hedonic approach; Spatial error model; Spatial process model; Anisotropy; C21; R19;
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- R19 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Other
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- Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003.
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- Seya, Hajime & Tsutsumi, Morito & Yamagata, Yoshiki, 2012. "Income convergence in Japan: A Bayesian spatial Durbin model approach," Economic Modelling, Elsevier, vol. 29(1), pages 60-71.
- Julia Koschinsky & Nancy Lozano-Gracia & Gianfranco Piras, 2012. "The welfare benefit of a home’s location: an empirical comparison of spatial and non-spatial model estimates," Journal of Geographical Systems, Springer, vol. 14(3), pages 319-356, July.
- Seya, Hajime & Yamagata, Yoshiki & Tsutsumi, Morito, 2013. "Automatic selection of a spatial weight matrix in spatial econometrics: Application to a spatial hedonic approach," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 429-444.
- Linda Gerkman, 2012. "Empirical spatial econometric modelling of small scale neighbourhood," Journal of Geographical Systems, Springer, vol. 14(3), pages 283-298, July.
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