Hedonic models of real estate prices : GAM Models : environmental and sex-offender-proximity factors

We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based generalized linear models (GLM). Using intrinsic and extrinsic factors available from R...
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Autor*in:	Bailey, Jason Robert [verfasserIn] Lauria, Davide [verfasserIn] Lindquist, W. Brent [verfasserIn] Mittnik, Stefan [verfasserIn] Račev, Svetlozar T. - 1951- [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Rechteinformationen:	Open Access Namensnennung 4.0 International ; CC BY 4.0

Schlagwörter:	generalized additive models generalized linear models hedonic models real estate prices

Übergeordnetes Werk:	Enthalten in: Journal of risk and financial management - Basel : MDPI, 2008, 15(2022), 12 vom: Dez., Artikel-ID 601, Seite 1-11
Übergeordnetes Werk:	volume:15 ; year:2022 ; number:12 ; month:12 ; elocationid:601 ; pages:1-11

Links:	Link aufrufen Link aufrufen Link aufrufen

DOI / URN:	10.3390/jrfm15120601

Katalog-ID:	184720144X

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allfields	10.3390/jrfm15120601 doi 10419/275078 hdl (DE-627)184720144X (DE-599)KXP184720144X DE-627 ger DE-627 rda eng Bailey, Jason Robert verfasserin aut Hedonic models of real estate prices GAM Models : environmental and sex-offender-proximity factors Jason Robert Bailey, Davide Lauria, W. Brent Lindquist, Stefan Mittnik and Svetlozar T. Rachev 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based generalized linear models (GLM). Using intrinsic and extrinsic factors available from Redfin, we show that the GAM model is capable of describing 84% to 92% of the variance in the expected ln(sales price), based upon 2021 data. In contrast, a strictly linear GLM accounted for 65% to 78% of the variance, while polynomial-based GLMs accounted for 82% to 88%. As climate change is becoming increasingly important, we utilized the GAM model to examine the significance of environmental factors in two urban centers on the northwest coast. While the results indicate city-dependent differences in the significance of environmental factors, we find that inclusion of the environmental factors increases the adjusted R2 of the GAM model by less than 1%. Thirdly, our results indicate that the importance of sex offender residence proximity as a pricing factor is strongly influenced by state sex offender residence regulations. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ generalized additive models (dpeaa)DE-206 generalized linear models (dpeaa)DE-206 hedonic models (dpeaa)DE-206 real estate prices (dpeaa)DE-206 Lauria, Davide verfasserin aut Lindquist, W. Brent verfasserin (DE-588)1070878200 (DE-627)824702123 (DE-576)43278215X aut Mittnik, Stefan verfasserin (DE-588)135596246 (DE-627)568589106 (DE-576)300535422 aut Račev, Svetlozar T. 1951- verfasserin (DE-588)12022979X (DE-627)080539394 (DE-576)168110997 aut Enthalten in Journal of risk and financial management Basel : MDPI, 2008 15(2022), 12 vom: Dez., Artikel-ID 601, Seite 1-11 Online-Ressource (DE-627)770970427 (DE-600)2739117-6 (DE-576)395129494 1911-8074 nnns volume:15 year:2022 number:12 month:12 elocationid:601 pages:1-11 https://www.mdpi.com/1911-8074/15/12/601/pdf?version=1670920326 Verlag kostenfrei https://doi.org/10.3390/jrfm15120601 Resolving-System kostenfrei https://hdl.handle.net/10419/275078 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER 15 2022 12 12 601 1-11 AR 15 2022 12 12 601 1-11 26 01 0206 432871032X x1z 02-06-23 2403 01 DE-LFER 4340257354 00 --%%-- --%%-- n --%%-- l01 18-06-23 2403 01 DE-LFER https://doi.org/10.3390/jrfm15120601 2403 01 DE-LFER https://www.mdpi.com/1911-8074/15/12/601/pdf?version=1670920326
spelling	10.3390/jrfm15120601 doi 10419/275078 hdl (DE-627)184720144X (DE-599)KXP184720144X DE-627 ger DE-627 rda eng Bailey, Jason Robert verfasserin aut Hedonic models of real estate prices GAM Models : environmental and sex-offender-proximity factors Jason Robert Bailey, Davide Lauria, W. Brent Lindquist, Stefan Mittnik and Svetlozar T. Rachev 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based generalized linear models (GLM). Using intrinsic and extrinsic factors available from Redfin, we show that the GAM model is capable of describing 84% to 92% of the variance in the expected ln(sales price), based upon 2021 data. In contrast, a strictly linear GLM accounted for 65% to 78% of the variance, while polynomial-based GLMs accounted for 82% to 88%. As climate change is becoming increasingly important, we utilized the GAM model to examine the significance of environmental factors in two urban centers on the northwest coast. While the results indicate city-dependent differences in the significance of environmental factors, we find that inclusion of the environmental factors increases the adjusted R2 of the GAM model by less than 1%. Thirdly, our results indicate that the importance of sex offender residence proximity as a pricing factor is strongly influenced by state sex offender residence regulations. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ generalized additive models (dpeaa)DE-206 generalized linear models (dpeaa)DE-206 hedonic models (dpeaa)DE-206 real estate prices (dpeaa)DE-206 Lauria, Davide verfasserin aut Lindquist, W. Brent verfasserin (DE-588)1070878200 (DE-627)824702123 (DE-576)43278215X aut Mittnik, Stefan verfasserin (DE-588)135596246 (DE-627)568589106 (DE-576)300535422 aut Račev, Svetlozar T. 1951- verfasserin (DE-588)12022979X (DE-627)080539394 (DE-576)168110997 aut Enthalten in Journal of risk and financial management Basel : MDPI, 2008 15(2022), 12 vom: Dez., Artikel-ID 601, Seite 1-11 Online-Ressource (DE-627)770970427 (DE-600)2739117-6 (DE-576)395129494 1911-8074 nnns volume:15 year:2022 number:12 month:12 elocationid:601 pages:1-11 https://www.mdpi.com/1911-8074/15/12/601/pdf?version=1670920326 Verlag kostenfrei https://doi.org/10.3390/jrfm15120601 Resolving-System kostenfrei https://hdl.handle.net/10419/275078 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER 15 2022 12 12 601 1-11 AR 15 2022 12 12 601 1-11 26 01 0206 432871032X x1z 02-06-23 2403 01 DE-LFER 4340257354 00 --%%-- --%%-- n --%%-- l01 18-06-23 2403 01 DE-LFER https://doi.org/10.3390/jrfm15120601 2403 01 DE-LFER https://www.mdpi.com/1911-8074/15/12/601/pdf?version=1670920326
allfields_unstemmed	10.3390/jrfm15120601 doi 10419/275078 hdl (DE-627)184720144X (DE-599)KXP184720144X DE-627 ger DE-627 rda eng Bailey, Jason Robert verfasserin aut Hedonic models of real estate prices GAM Models : environmental and sex-offender-proximity factors Jason Robert Bailey, Davide Lauria, W. Brent Lindquist, Stefan Mittnik and Svetlozar T. Rachev 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based generalized linear models (GLM). Using intrinsic and extrinsic factors available from Redfin, we show that the GAM model is capable of describing 84% to 92% of the variance in the expected ln(sales price), based upon 2021 data. In contrast, a strictly linear GLM accounted for 65% to 78% of the variance, while polynomial-based GLMs accounted for 82% to 88%. As climate change is becoming increasingly important, we utilized the GAM model to examine the significance of environmental factors in two urban centers on the northwest coast. While the results indicate city-dependent differences in the significance of environmental factors, we find that inclusion of the environmental factors increases the adjusted R2 of the GAM model by less than 1%. Thirdly, our results indicate that the importance of sex offender residence proximity as a pricing factor is strongly influenced by state sex offender residence regulations. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ generalized additive models (dpeaa)DE-206 generalized linear models (dpeaa)DE-206 hedonic models (dpeaa)DE-206 real estate prices (dpeaa)DE-206 Lauria, Davide verfasserin aut Lindquist, W. Brent verfasserin (DE-588)1070878200 (DE-627)824702123 (DE-576)43278215X aut Mittnik, Stefan verfasserin (DE-588)135596246 (DE-627)568589106 (DE-576)300535422 aut Račev, Svetlozar T. 1951- verfasserin (DE-588)12022979X (DE-627)080539394 (DE-576)168110997 aut Enthalten in Journal of risk and financial management Basel : MDPI, 2008 15(2022), 12 vom: Dez., Artikel-ID 601, Seite 1-11 Online-Ressource (DE-627)770970427 (DE-600)2739117-6 (DE-576)395129494 1911-8074 nnns volume:15 year:2022 number:12 month:12 elocationid:601 pages:1-11 https://www.mdpi.com/1911-8074/15/12/601/pdf?version=1670920326 Verlag kostenfrei https://doi.org/10.3390/jrfm15120601 Resolving-System kostenfrei https://hdl.handle.net/10419/275078 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER 15 2022 12 12 601 1-11 AR 15 2022 12 12 601 1-11 26 01 0206 432871032X x1z 02-06-23 2403 01 DE-LFER 4340257354 00 --%%-- --%%-- n --%%-- l01 18-06-23 2403 01 DE-LFER https://doi.org/10.3390/jrfm15120601 2403 01 DE-LFER https://www.mdpi.com/1911-8074/15/12/601/pdf?version=1670920326
allfieldsGer	10.3390/jrfm15120601 doi 10419/275078 hdl (DE-627)184720144X (DE-599)KXP184720144X DE-627 ger DE-627 rda eng Bailey, Jason Robert verfasserin aut Hedonic models of real estate prices GAM Models : environmental and sex-offender-proximity factors Jason Robert Bailey, Davide Lauria, W. Brent Lindquist, Stefan Mittnik and Svetlozar T. Rachev 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based generalized linear models (GLM). Using intrinsic and extrinsic factors available from Redfin, we show that the GAM model is capable of describing 84% to 92% of the variance in the expected ln(sales price), based upon 2021 data. In contrast, a strictly linear GLM accounted for 65% to 78% of the variance, while polynomial-based GLMs accounted for 82% to 88%. As climate change is becoming increasingly important, we utilized the GAM model to examine the significance of environmental factors in two urban centers on the northwest coast. While the results indicate city-dependent differences in the significance of environmental factors, we find that inclusion of the environmental factors increases the adjusted R2 of the GAM model by less than 1%. Thirdly, our results indicate that the importance of sex offender residence proximity as a pricing factor is strongly influenced by state sex offender residence regulations. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ generalized additive models (dpeaa)DE-206 generalized linear models (dpeaa)DE-206 hedonic models (dpeaa)DE-206 real estate prices (dpeaa)DE-206 Lauria, Davide verfasserin aut Lindquist, W. Brent verfasserin (DE-588)1070878200 (DE-627)824702123 (DE-576)43278215X aut Mittnik, Stefan verfasserin (DE-588)135596246 (DE-627)568589106 (DE-576)300535422 aut Račev, Svetlozar T. 1951- verfasserin (DE-588)12022979X (DE-627)080539394 (DE-576)168110997 aut Enthalten in Journal of risk and financial management Basel : MDPI, 2008 15(2022), 12 vom: Dez., Artikel-ID 601, Seite 1-11 Online-Ressource (DE-627)770970427 (DE-600)2739117-6 (DE-576)395129494 1911-8074 nnns volume:15 year:2022 number:12 month:12 elocationid:601 pages:1-11 https://www.mdpi.com/1911-8074/15/12/601/pdf?version=1670920326 Verlag kostenfrei https://doi.org/10.3390/jrfm15120601 Resolving-System kostenfrei https://hdl.handle.net/10419/275078 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER 15 2022 12 12 601 1-11 AR 15 2022 12 12 601 1-11 26 01 0206 432871032X x1z 02-06-23 2403 01 DE-LFER 4340257354 00 --%%-- --%%-- n --%%-- l01 18-06-23 2403 01 DE-LFER https://doi.org/10.3390/jrfm15120601 2403 01 DE-LFER https://www.mdpi.com/1911-8074/15/12/601/pdf?version=1670920326
allfieldsSound	10.3390/jrfm15120601 doi 10419/275078 hdl (DE-627)184720144X (DE-599)KXP184720144X DE-627 ger DE-627 rda eng Bailey, Jason Robert verfasserin aut Hedonic models of real estate prices GAM Models : environmental and sex-offender-proximity factors Jason Robert Bailey, Davide Lauria, W. Brent Lindquist, Stefan Mittnik and Svetlozar T. Rachev 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based generalized linear models (GLM). Using intrinsic and extrinsic factors available from Redfin, we show that the GAM model is capable of describing 84% to 92% of the variance in the expected ln(sales price), based upon 2021 data. In contrast, a strictly linear GLM accounted for 65% to 78% of the variance, while polynomial-based GLMs accounted for 82% to 88%. As climate change is becoming increasingly important, we utilized the GAM model to examine the significance of environmental factors in two urban centers on the northwest coast. While the results indicate city-dependent differences in the significance of environmental factors, we find that inclusion of the environmental factors increases the adjusted R2 of the GAM model by less than 1%. Thirdly, our results indicate that the importance of sex offender residence proximity as a pricing factor is strongly influenced by state sex offender residence regulations. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ generalized additive models (dpeaa)DE-206 generalized linear models (dpeaa)DE-206 hedonic models (dpeaa)DE-206 real estate prices (dpeaa)DE-206 Lauria, Davide verfasserin aut Lindquist, W. Brent verfasserin (DE-588)1070878200 (DE-627)824702123 (DE-576)43278215X aut Mittnik, Stefan verfasserin (DE-588)135596246 (DE-627)568589106 (DE-576)300535422 aut Račev, Svetlozar T. 1951- verfasserin (DE-588)12022979X (DE-627)080539394 (DE-576)168110997 aut Enthalten in Journal of risk and financial management Basel : MDPI, 2008 15(2022), 12 vom: Dez., Artikel-ID 601, Seite 1-11 Online-Ressource (DE-627)770970427 (DE-600)2739117-6 (DE-576)395129494 1911-8074 nnns volume:15 year:2022 number:12 month:12 elocationid:601 pages:1-11 https://www.mdpi.com/1911-8074/15/12/601/pdf?version=1670920326 Verlag kostenfrei https://doi.org/10.3390/jrfm15120601 Resolving-System kostenfrei https://hdl.handle.net/10419/275078 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER 15 2022 12 12 601 1-11 AR 15 2022 12 12 601 1-11 26 01 0206 432871032X x1z 02-06-23 2403 01 DE-LFER 4340257354 00 --%%-- --%%-- n --%%-- l01 18-06-23 2403 01 DE-LFER https://doi.org/10.3390/jrfm15120601 2403 01 DE-LFER https://www.mdpi.com/1911-8074/15/12/601/pdf?version=1670920326
language	English
source	Enthalten in Journal of risk and financial management 15(2022), 12 vom: Dez., Artikel-ID 601, Seite 1-11 volume:15 year:2022 number:12 month:12 elocationid:601 pages:1-11
sourceStr	Enthalten in Journal of risk and financial management 15(2022), 12 vom: Dez., Artikel-ID 601, Seite 1-11 volume:15 year:2022 number:12 month:12 elocationid:601 pages:1-11
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institution	findex.gbv.de
selectbib_iln_str_mv	26@1z 2403@01
topic_facet	generalized additive models generalized linear models hedonic models real estate prices
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container_title	Journal of risk and financial management
authorswithroles_txt_mv	Bailey, Jason Robert @@aut@@ Lauria, Davide @@aut@@ Lindquist, W. Brent @@aut@@ Mittnik, Stefan @@aut@@ Račev, Svetlozar T. @@aut@@
publishDateDaySort_date	2022-12-01T00:00:00Z
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topic_title	Hedonic models of real estate prices GAM Models : environmental and sex-offender-proximity factors Jason Robert Bailey, Davide Lauria, W. Brent Lindquist, Stefan Mittnik and Svetlozar T. Rachev generalized additive models (dpeaa)DE-206 generalized linear models (dpeaa)DE-206 hedonic models (dpeaa)DE-206 real estate prices (dpeaa)DE-206
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title	Hedonic models of real estate prices GAM Models : environmental and sex-offender-proximity factors
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title_full	Hedonic models of real estate prices GAM Models : environmental and sex-offender-proximity factors Jason Robert Bailey, Davide Lauria, W. Brent Lindquist, Stefan Mittnik and Svetlozar T. Rachev
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title_sort	hedonic models of real estate pricesgam models : environmental and sex-offender-proximity factors
title_auth	Hedonic models of real estate prices GAM Models : environmental and sex-offender-proximity factors
abstract	We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based generalized linear models (GLM). Using intrinsic and extrinsic factors available from Redfin, we show that the GAM model is capable of describing 84% to 92% of the variance in the expected ln(sales price), based upon 2021 data. In contrast, a strictly linear GLM accounted for 65% to 78% of the variance, while polynomial-based GLMs accounted for 82% to 88%. As climate change is becoming increasingly important, we utilized the GAM model to examine the significance of environmental factors in two urban centers on the northwest coast. While the results indicate city-dependent differences in the significance of environmental factors, we find that inclusion of the environmental factors increases the adjusted R2 of the GAM model by less than 1%. Thirdly, our results indicate that the importance of sex offender residence proximity as a pricing factor is strongly influenced by state sex offender residence regulations.
abstractGer	We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based generalized linear models (GLM). Using intrinsic and extrinsic factors available from Redfin, we show that the GAM model is capable of describing 84% to 92% of the variance in the expected ln(sales price), based upon 2021 data. In contrast, a strictly linear GLM accounted for 65% to 78% of the variance, while polynomial-based GLMs accounted for 82% to 88%. As climate change is becoming increasingly important, we utilized the GAM model to examine the significance of environmental factors in two urban centers on the northwest coast. While the results indicate city-dependent differences in the significance of environmental factors, we find that inclusion of the environmental factors increases the adjusted R2 of the GAM model by less than 1%. Thirdly, our results indicate that the importance of sex offender residence proximity as a pricing factor is strongly influenced by state sex offender residence regulations.
abstract_unstemmed	We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based generalized linear models (GLM). Using intrinsic and extrinsic factors available from Redfin, we show that the GAM model is capable of describing 84% to 92% of the variance in the expected ln(sales price), based upon 2021 data. In contrast, a strictly linear GLM accounted for 65% to 78% of the variance, while polynomial-based GLMs accounted for 82% to 88%. As climate change is becoming increasingly important, we utilized the GAM model to examine the significance of environmental factors in two urban centers on the northwest coast. While the results indicate city-dependent differences in the significance of environmental factors, we find that inclusion of the environmental factors increases the adjusted R2 of the GAM model by less than 1%. Thirdly, our results indicate that the importance of sex offender residence proximity as a pricing factor is strongly influenced by state sex offender residence regulations.
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title_short	Hedonic models of real estate prices
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Rachev</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="q">DE-206</subfield><subfield code="a">Open Access</subfield><subfield code="e">Controlled Vocabulary for Access Rights</subfield><subfield code="u">http://purl.org/coar/access_right/c_abf2</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based generalized linear models (GLM). 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Thirdly, our results indicate that the importance of sex offender residence proximity as a pricing factor is strongly influenced by state sex offender residence regulations.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="q">DE-206</subfield><subfield code="a">Namensnennung 4.0 International</subfield><subfield code="f">CC BY 4.0</subfield><subfield code="2">cc</subfield><subfield code="u">https://creativecommons.org/licenses/by/4.0/</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">generalized additive models</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">generalized linear models</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">hedonic models</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">real estate prices</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lauria, Davide</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lindquist, W. Brent</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1070878200</subfield><subfield code="0">(DE-627)824702123</subfield><subfield code="0">(DE-576)43278215X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mittnik, Stefan</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)135596246</subfield><subfield code="0">(DE-627)568589106</subfield><subfield code="0">(DE-576)300535422</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Račev, Svetlozar T.</subfield><subfield code="d">1951-</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)12022979X</subfield><subfield code="0">(DE-627)080539394</subfield><subfield code="0">(DE-576)168110997</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield 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Hedonic models of real estate prices : GAM Models : environmental and sex-offender-proximity factors

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