Tree cover and property values in the United States: A national meta-analysis

Our meta-analysis uses 21 hedonic property value studies and 157 unique observations to study the influence of tree cover on the value of homes in the United States. We construct elasticity estimates of the percentage change in home value for a 1% change in the percentage of tree cover around a home...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Kovacs, Kent [verfasserIn] West, Grant [verfasserIn] Nowak, David J. [verfasserIn] Haight, Robert G. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Umweltökonomik / Welt
Schlagwörter:	Hedonic Benefit transfer Urban forest

Übergeordnetes Werk:	Enthalten in: Ecological economics - Amsterdam [u.a.] : Elsevier Science, 1989, 197
Übergeordnetes Werk:	volume:197

DOI / URN:	10.1016/j.ecolecon.2022.107424

Katalog-ID:	ELV00787006X

Internformat


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245	1	0	\|a Tree cover and property values in the United States: A national meta-analysis
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520			\|a Our meta-analysis uses 21 hedonic property value studies and 157 unique observations to study the influence of tree cover on the value of homes in the United States. We construct elasticity estimates of the percentage change in home value for a 1% change in the percentage of tree cover around a home. Cluster weighted averages of the elasticities account for the housing market and the precision of the property price effects for tree cover on and off property and for three categories of tree cover density. Meta-regression models further control for the housing market and tree cover heterogeneity, the methodological techniques of the primary study, and publication bias. The Mundlak meta-regression model with controls for US regions has the lowest out-of-sample transfer error. The larger elasticity for off property tree cover than on property tree cover (unless tree density is 10% or lower) suggests that the property value of homes rises more if tree cover is not on land that homeowners are responsible for maintaining. The elasticity in neighborhoods with greater than 25% tree cover (0.013) is four times larger than the elasticity in neighborhoods with 0 to 10% tree cover (0.003).
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author_variant	k k kk g w gw d j n dj djn r g h rg rgh
matchkey_str	article:09218009:2022----::reoeadrpryausnhuiesaeaai
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publishDate	2022
allfields	10.1016/j.ecolecon.2022.107424 doi (DE-627)ELV00787006X (ELSEVIER)S0921-8009(22)00086-6 DE-627 ger DE-627 rda eng BIODIV DE-30 fid 83.63 bkl Kovacs, Kent verfasserin aut Tree cover and property values in the United States: A national meta-analysis 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Our meta-analysis uses 21 hedonic property value studies and 157 unique observations to study the influence of tree cover on the value of homes in the United States. We construct elasticity estimates of the percentage change in home value for a 1% change in the percentage of tree cover around a home. Cluster weighted averages of the elasticities account for the housing market and the precision of the property price effects for tree cover on and off property and for three categories of tree cover density. Meta-regression models further control for the housing market and tree cover heterogeneity, the methodological techniques of the primary study, and publication bias. The Mundlak meta-regression model with controls for US regions has the lowest out-of-sample transfer error. The larger elasticity for off property tree cover than on property tree cover (unless tree density is 10% or lower) suggests that the property value of homes rises more if tree cover is not on land that homeowners are responsible for maintaining. The elasticity in neighborhoods with greater than 25% tree cover (0.013) is four times larger than the elasticity in neighborhoods with 0 to 10% tree cover (0.003). 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Hedonic Benefit transfer Urban forest West, Grant verfasserin aut Nowak, David J. verfasserin aut Haight, Robert G. verfasserin aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 197 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:197 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie ECS-12001 SKW AR 197
spelling	10.1016/j.ecolecon.2022.107424 doi (DE-627)ELV00787006X (ELSEVIER)S0921-8009(22)00086-6 DE-627 ger DE-627 rda eng BIODIV DE-30 fid 83.63 bkl Kovacs, Kent verfasserin aut Tree cover and property values in the United States: A national meta-analysis 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Our meta-analysis uses 21 hedonic property value studies and 157 unique observations to study the influence of tree cover on the value of homes in the United States. We construct elasticity estimates of the percentage change in home value for a 1% change in the percentage of tree cover around a home. Cluster weighted averages of the elasticities account for the housing market and the precision of the property price effects for tree cover on and off property and for three categories of tree cover density. Meta-regression models further control for the housing market and tree cover heterogeneity, the methodological techniques of the primary study, and publication bias. The Mundlak meta-regression model with controls for US regions has the lowest out-of-sample transfer error. The larger elasticity for off property tree cover than on property tree cover (unless tree density is 10% or lower) suggests that the property value of homes rises more if tree cover is not on land that homeowners are responsible for maintaining. The elasticity in neighborhoods with greater than 25% tree cover (0.013) is four times larger than the elasticity in neighborhoods with 0 to 10% tree cover (0.003). 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Hedonic Benefit transfer Urban forest West, Grant verfasserin aut Nowak, David J. verfasserin aut Haight, Robert G. verfasserin aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 197 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:197 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie ECS-12001 SKW AR 197
allfields_unstemmed	10.1016/j.ecolecon.2022.107424 doi (DE-627)ELV00787006X (ELSEVIER)S0921-8009(22)00086-6 DE-627 ger DE-627 rda eng BIODIV DE-30 fid 83.63 bkl Kovacs, Kent verfasserin aut Tree cover and property values in the United States: A national meta-analysis 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Our meta-analysis uses 21 hedonic property value studies and 157 unique observations to study the influence of tree cover on the value of homes in the United States. We construct elasticity estimates of the percentage change in home value for a 1% change in the percentage of tree cover around a home. Cluster weighted averages of the elasticities account for the housing market and the precision of the property price effects for tree cover on and off property and for three categories of tree cover density. Meta-regression models further control for the housing market and tree cover heterogeneity, the methodological techniques of the primary study, and publication bias. The Mundlak meta-regression model with controls for US regions has the lowest out-of-sample transfer error. The larger elasticity for off property tree cover than on property tree cover (unless tree density is 10% or lower) suggests that the property value of homes rises more if tree cover is not on land that homeowners are responsible for maintaining. The elasticity in neighborhoods with greater than 25% tree cover (0.013) is four times larger than the elasticity in neighborhoods with 0 to 10% tree cover (0.003). 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Hedonic Benefit transfer Urban forest West, Grant verfasserin aut Nowak, David J. verfasserin aut Haight, Robert G. verfasserin aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 197 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:197 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie ECS-12001 SKW AR 197
allfieldsGer	10.1016/j.ecolecon.2022.107424 doi (DE-627)ELV00787006X (ELSEVIER)S0921-8009(22)00086-6 DE-627 ger DE-627 rda eng BIODIV DE-30 fid 83.63 bkl Kovacs, Kent verfasserin aut Tree cover and property values in the United States: A national meta-analysis 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Our meta-analysis uses 21 hedonic property value studies and 157 unique observations to study the influence of tree cover on the value of homes in the United States. We construct elasticity estimates of the percentage change in home value for a 1% change in the percentage of tree cover around a home. Cluster weighted averages of the elasticities account for the housing market and the precision of the property price effects for tree cover on and off property and for three categories of tree cover density. Meta-regression models further control for the housing market and tree cover heterogeneity, the methodological techniques of the primary study, and publication bias. The Mundlak meta-regression model with controls for US regions has the lowest out-of-sample transfer error. The larger elasticity for off property tree cover than on property tree cover (unless tree density is 10% or lower) suggests that the property value of homes rises more if tree cover is not on land that homeowners are responsible for maintaining. The elasticity in neighborhoods with greater than 25% tree cover (0.013) is four times larger than the elasticity in neighborhoods with 0 to 10% tree cover (0.003). 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Hedonic Benefit transfer Urban forest West, Grant verfasserin aut Nowak, David J. verfasserin aut Haight, Robert G. verfasserin aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 197 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:197 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie ECS-12001 SKW AR 197
allfieldsSound	10.1016/j.ecolecon.2022.107424 doi (DE-627)ELV00787006X (ELSEVIER)S0921-8009(22)00086-6 DE-627 ger DE-627 rda eng BIODIV DE-30 fid 83.63 bkl Kovacs, Kent verfasserin aut Tree cover and property values in the United States: A national meta-analysis 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Our meta-analysis uses 21 hedonic property value studies and 157 unique observations to study the influence of tree cover on the value of homes in the United States. We construct elasticity estimates of the percentage change in home value for a 1% change in the percentage of tree cover around a home. Cluster weighted averages of the elasticities account for the housing market and the precision of the property price effects for tree cover on and off property and for three categories of tree cover density. Meta-regression models further control for the housing market and tree cover heterogeneity, the methodological techniques of the primary study, and publication bias. The Mundlak meta-regression model with controls for US regions has the lowest out-of-sample transfer error. The larger elasticity for off property tree cover than on property tree cover (unless tree density is 10% or lower) suggests that the property value of homes rises more if tree cover is not on land that homeowners are responsible for maintaining. The elasticity in neighborhoods with greater than 25% tree cover (0.013) is four times larger than the elasticity in neighborhoods with 0 to 10% tree cover (0.003). 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Hedonic Benefit transfer Urban forest West, Grant verfasserin aut Nowak, David J. verfasserin aut Haight, Robert G. verfasserin aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 197 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:197 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie ECS-12001 SKW AR 197
language	English
source	Enthalten in Ecological economics 197 volume:197
sourceStr	Enthalten in Ecological economics 197 volume:197
format_phy_str_mv	Article
bklname	Volkswirtschaftliche Ressourcen Umweltökonomie
institution	findex.gbv.de
topic_facet	Umweltökonomik Welt Hedonic Benefit transfer Urban forest
isfreeaccess_bool	false
container_title	Ecological economics
authorswithroles_txt_mv	Kovacs, Kent @@aut@@ West, Grant @@aut@@ Nowak, David J. @@aut@@ Haight, Robert G. @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	306658135
id	ELV00787006X
language_de	englisch
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author	Kovacs, Kent
spellingShingle	Kovacs, Kent fid BIODIV bkl 83.63 stw Umweltökonomik stw Welt misc Hedonic misc Benefit transfer misc Urban forest Tree cover and property values in the United States: A national meta-analysis
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topic_title	BIODIV DE-30 fid 83.63 bkl Tree cover and property values in the United States: A national meta-analysis 1.1\x Umweltökonomik (DE-2867)15767-0 stw 1.2\x Welt (DE-2867)16809-5 stw Hedonic Benefit transfer Urban forest
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title	Tree cover and property values in the United States: A national meta-analysis
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title_full	Tree cover and property values in the United States: A national meta-analysis
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title_sort	tree cover and property values in the united states: a national meta-analysis
title_auth	Tree cover and property values in the United States: A national meta-analysis
abstract	Our meta-analysis uses 21 hedonic property value studies and 157 unique observations to study the influence of tree cover on the value of homes in the United States. We construct elasticity estimates of the percentage change in home value for a 1% change in the percentage of tree cover around a home. Cluster weighted averages of the elasticities account for the housing market and the precision of the property price effects for tree cover on and off property and for three categories of tree cover density. Meta-regression models further control for the housing market and tree cover heterogeneity, the methodological techniques of the primary study, and publication bias. The Mundlak meta-regression model with controls for US regions has the lowest out-of-sample transfer error. The larger elasticity for off property tree cover than on property tree cover (unless tree density is 10% or lower) suggests that the property value of homes rises more if tree cover is not on land that homeowners are responsible for maintaining. The elasticity in neighborhoods with greater than 25% tree cover (0.013) is four times larger than the elasticity in neighborhoods with 0 to 10% tree cover (0.003).
abstractGer	Our meta-analysis uses 21 hedonic property value studies and 157 unique observations to study the influence of tree cover on the value of homes in the United States. We construct elasticity estimates of the percentage change in home value for a 1% change in the percentage of tree cover around a home. Cluster weighted averages of the elasticities account for the housing market and the precision of the property price effects for tree cover on and off property and for three categories of tree cover density. Meta-regression models further control for the housing market and tree cover heterogeneity, the methodological techniques of the primary study, and publication bias. The Mundlak meta-regression model with controls for US regions has the lowest out-of-sample transfer error. The larger elasticity for off property tree cover than on property tree cover (unless tree density is 10% or lower) suggests that the property value of homes rises more if tree cover is not on land that homeowners are responsible for maintaining. The elasticity in neighborhoods with greater than 25% tree cover (0.013) is four times larger than the elasticity in neighborhoods with 0 to 10% tree cover (0.003).
abstract_unstemmed	Our meta-analysis uses 21 hedonic property value studies and 157 unique observations to study the influence of tree cover on the value of homes in the United States. We construct elasticity estimates of the percentage change in home value for a 1% change in the percentage of tree cover around a home. Cluster weighted averages of the elasticities account for the housing market and the precision of the property price effects for tree cover on and off property and for three categories of tree cover density. Meta-regression models further control for the housing market and tree cover heterogeneity, the methodological techniques of the primary study, and publication bias. The Mundlak meta-regression model with controls for US regions has the lowest out-of-sample transfer error. The larger elasticity for off property tree cover than on property tree cover (unless tree density is 10% or lower) suggests that the property value of homes rises more if tree cover is not on land that homeowners are responsible for maintaining. The elasticity in neighborhoods with greater than 25% tree cover (0.013) is four times larger than the elasticity in neighborhoods with 0 to 10% tree cover (0.003).
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title_short	Tree cover and property values in the United States: A national meta-analysis
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up_date	2024-07-06T17:45:01.598Z
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Tree cover and property values in the United States: A national meta-analysis

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