Hedonic approaches based on spatial econometrics and spatial statistics: application to evaluation of project benefits
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References listed on IDEAS
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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.
- Linda Gerkman, 2012. "Empirical spatial econometric modelling of small scale neighbourhood," Journal of Geographical Systems, Springer, vol. 14(3), pages 283-298, July.
- Eilers, Lea, 2016. "Spatial Dependence in Apartment Offering Prices in Hamburg," Annual Conference 2016 (Augsburg): Demographic Change 145639, Verein für Socialpolitik / German Economic Association.
- 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.
- Seya, Hajime & Yamagata, Yoshiki & Nakamichi, Kumiko, 2016. "Creation of municipality level intensity data of electricity in Japan," Applied Energy, Elsevier, vol. 162(C), pages 1336-1344.
- Hayato Nakanishi, 2017. "Quasi-experimental evidence for the importance of accounting for fear when evaluating catastrophic events," Empirical Economics, Springer, vol. 52(2), pages 869-894, March.
More about this item
KeywordsBenefits evaluation; Spatial hedonic approach; Spatial error model; Spatial process model; Anisotropy; C21; R19;
- 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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