An alternative to the standard spatial econometric approaches in hedonic house price models

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Standard

An alternative to the standard spatial econometric approaches in hedonic house price models. / von Graevenitz, Kathrine; Panduro, Toke Emil.

I: Land Economics, Bind 91, Nr. 2, 2015, s. 386-409.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

von Graevenitz, K & Panduro, TE 2015, 'An alternative to the standard spatial econometric approaches in hedonic house price models', Land Economics, bind 91, nr. 2, s. 386-409. https://doi.org/10.3368/le.91.2.386

APA

von Graevenitz, K., & Panduro, T. E. (2015). An alternative to the standard spatial econometric approaches in hedonic house price models. Land Economics, 91(2), 386-409. https://doi.org/10.3368/le.91.2.386

Vancouver

von Graevenitz K, Panduro TE. An alternative to the standard spatial econometric approaches in hedonic house price models. Land Economics. 2015;91(2):386-409. https://doi.org/10.3368/le.91.2.386

Author

von Graevenitz, Kathrine ; Panduro, Toke Emil. / An alternative to the standard spatial econometric approaches in hedonic house price models. I: Land Economics. 2015 ; Bind 91, Nr. 2. s. 386-409.

Bibtex

@article{4d552bb178454c9396e92584f712df9a,
title = "An alternative to the standard spatial econometric approaches in hedonic house price models",
abstract = "Omitted, misspecified, or mismeasured spatially varying characteristics are a cause for concern in hedonic house price models. Spatial econometrics or spatial fixed effects have become popular ways of addressing these concerns. We discuss the limitations of standard spatial approaches to hedonic modeling and demonstrate the spatial generalized additive model as an alternative. Parameter estimates for several spatially varying regressors are shown to be sensitive to the scale of the fixed effects and bandwidth dimension used to control for omitted variables. This sensitivity reflects the uncertainty associated with the estimates when the appropriate spatial scale of the controls is unknown.",
author = "{von Graevenitz}, Kathrine and Panduro, {Toke Emil}",
year = "2015",
doi = "10.3368/le.91.2.386",
language = "English",
volume = "91",
pages = "386--409",
journal = "Land Economics",
issn = "0023-7639",
publisher = "UNIV WISCONSIN PRESS",
number = "2",

}

RIS

TY - JOUR

T1 - An alternative to the standard spatial econometric approaches in hedonic house price models

AU - von Graevenitz, Kathrine

AU - Panduro, Toke Emil

PY - 2015

Y1 - 2015

N2 - Omitted, misspecified, or mismeasured spatially varying characteristics are a cause for concern in hedonic house price models. Spatial econometrics or spatial fixed effects have become popular ways of addressing these concerns. We discuss the limitations of standard spatial approaches to hedonic modeling and demonstrate the spatial generalized additive model as an alternative. Parameter estimates for several spatially varying regressors are shown to be sensitive to the scale of the fixed effects and bandwidth dimension used to control for omitted variables. This sensitivity reflects the uncertainty associated with the estimates when the appropriate spatial scale of the controls is unknown.

AB - Omitted, misspecified, or mismeasured spatially varying characteristics are a cause for concern in hedonic house price models. Spatial econometrics or spatial fixed effects have become popular ways of addressing these concerns. We discuss the limitations of standard spatial approaches to hedonic modeling and demonstrate the spatial generalized additive model as an alternative. Parameter estimates for several spatially varying regressors are shown to be sensitive to the scale of the fixed effects and bandwidth dimension used to control for omitted variables. This sensitivity reflects the uncertainty associated with the estimates when the appropriate spatial scale of the controls is unknown.

U2 - 10.3368/le.91.2.386

DO - 10.3368/le.91.2.386

M3 - Journal article

VL - 91

SP - 386

EP - 409

JO - Land Economics

JF - Land Economics

SN - 0023-7639

IS - 2

ER -

ID: 148102327