The Impact of Wind Power Projects on Residential Property Values ...
The Impact of Wind Power Projects on Residential Property Values ... The Impact of Wind Power Projects on Residential Property Values ...
4.2. Model Form A standard semi-log functional form is used for the hedonic models (as was discussed in Section 2.1), where the dependent variable (sales price in inflation-adjusted 1996 dollars) is transformed to its natural log form and the independent variables (e.g., square feet and acres) are not transformed. Using this form to examine the effect that views
impose the least structure on the underlying data. 52 For the purpose
- Page 1 and 2: LBNL-2829E ERNEST ORLANDO LAWRENCE
- Page 3 and 4: LBNL-2829E The <st
- Page 5 and 6: Table of Contents
- Page 7 and 8: List of Tables Tab
- Page 9 and 10: Acknowledgements The</stron
- Page 11 and 12: This report builds on the previous
- Page 13 and 14: Table ES-2: Impact
- Page 15 and 16: Figure ES-3: Base Model Results: Sc
- Page 17 and 18: In the Distance Stability Model, fo
- Page 19 and 20: 1. Introduction Wind</stron
- Page 21 and 22: model 7 and uses various forms <str
- Page 23 and 24: A particularly useful application <
- Page 25 and 26: Using different statistical methods
- Page 27 and 28: Table 1: Summary of</strong
- Page 29 and 30: By using a variety of</stro
- Page 31 and 32: minimum of 164 fee
- Page 33 and 34: 3.2.2. GIS Data GIS data on parcel
- Page 35 and 36: In addition to the qualitative VIEW
- Page 37 and 38: with the rest of t
- Page 39 and 40: Figure 4: Frequency of</str
- Page 41: 4. Base Hedonic Model This section
- Page 45 and 46: of the home, home
- Page 47 and 48: etween the reference study area (WA
- Page 49 and 50: Figure 7: Results from the Base Mod
- Page 51 and 52: 5. Alternative Hedonic Models <stro
- Page 53 and 54: concentrated inside of</str
- Page 55 and 56: all other components are as defined
- Page 57 and 58: the distance from them might not oc
- Page 59 and 60: explanation is that the additional
- Page 61 and 62: 6) More than four years after const
- Page 63 and 64: Table 19: Results from Temporal Asp
- Page 65 and 66: Turning to the coefficient differen
- Page 67 and 68: Table 21: Frequency Crosstab <stron
- Page 69 and 70: 5.6.1. Dataset and Model Form Data
- Page 71 and 72: with the scenic vista. In other wor
- Page 73 and 74: 6. Repeat Sales Analysis In general
- Page 75 and 76: Table 27: List of
- Page 77 and 78: adjustment, and represent another t
- Page 79 and 80: that are located within one mile <s
- Page 81 and 82: 7. Sales Volume Analysis Th
- Page 83 and 84: Figure 11: Sales Volumes by PERIOD
- Page 85 and 86: three years before announcement), a
- Page 87 and 88: 8. Wind Pr
- Page 89 and 90: Drawing from the previous literatur
- Page 91 and 92: Taken together, the results from al
4.2. Model Form<br />
A standard semi-log functi<strong>on</strong>al form is used for the hed<strong>on</strong>ic models (as was discussed in Secti<strong>on</strong><br />
2.1), where the dependent variable (sales price in inflati<strong>on</strong>-adjusted 1996 dollars) is transformed<br />
to its natural log form and the independent variables (e.g., square feet and acres) are not<br />
transformed. Using this form to examine the effect that views <str<strong>on</strong>g>of</str<strong>on</strong>g>, and distance to, wind facilities<br />
have <strong>on</strong> sales prices, the following basic model is estimated:<br />
(1)<br />
0 1 2 3 4 5<br />
ln P N S X VIEW DISTANCE <br />
s k v d<br />
where<br />
P represents the inflati<strong>on</strong>-adjusted sales price,<br />
N is the spatially weighted neighbors’ predicted sales price,<br />
S is the vector <str<strong>on</strong>g>of</str<strong>on</strong>g> s Study Area fixed effects variables (e.g., WAOR, OKCC, etc.),<br />
X is a vector <str<strong>on</strong>g>of</str<strong>on</strong>g> k home and site characteristics (e.g., acres, square feet, number <str<strong>on</strong>g>of</str<strong>on</strong>g> bathrooms,<br />
c<strong>on</strong>diti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> the home, age <str<strong>on</strong>g>of</str<strong>on</strong>g> home, VISTA, etc.),<br />
VIEW is a vector <str<strong>on</strong>g>of</str<strong>on</strong>g> v categorical view <str<strong>on</strong>g>of</str<strong>on</strong>g> turbine variables (e.g., MINOR, MODERATE, etc.),<br />
DISTANCE is a vector <str<strong>on</strong>g>of</str<strong>on</strong>g> d categorical distance to turbine variables (e.g., less than 3000 feet,<br />
between <strong>on</strong>e and three miles, etc.),<br />
0 is the c<strong>on</strong>stant or intercept across the full sample,<br />
1 is a parameter estimate for the spatially weighted neighbor’s predicted sales price,<br />
2 is a vector <str<strong>on</strong>g>of</str<strong>on</strong>g> s parameter estimates for the study area fixed effects as compared to homes sold<br />
in the Washingt<strong>on</strong>/Oreg<strong>on</strong> (WAOR) study area,<br />
3 is a vector <str<strong>on</strong>g>of</str<strong>on</strong>g> k parameter estimates for the home and site characteristics,<br />
4 is a vector <str<strong>on</strong>g>of</str<strong>on</strong>g> v parameter estimates for the VIEW variables as compared to homes sold with<br />
no view <str<strong>on</strong>g>of</str<strong>on</strong>g> the turbines,<br />
5 is a vector <str<strong>on</strong>g>of</str<strong>on</strong>g> d parameter estimates for the DISTANCE variables as compared to homes sold<br />
situated outside <str<strong>on</strong>g>of</str<strong>on</strong>g> five miles, and<br />
is a random disturbance term.<br />
As such, this model, and all subsequent hed<strong>on</strong>ic models, has four primary groups <str<strong>on</strong>g>of</str<strong>on</strong>g> parameters:<br />
variables <str<strong>on</strong>g>of</str<strong>on</strong>g> interest, spatial adjustments, study-area fixed effects, and home and site<br />
characteristics.<br />
<str<strong>on</strong>g>The</str<strong>on</strong>g> variables <str<strong>on</strong>g>of</str<strong>on</strong>g> interest, VIEW and DISTANCE, are the focus <str<strong>on</strong>g>of</str<strong>on</strong>g> this study, and allow the<br />
investigati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> the presence <str<strong>on</strong>g>of</str<strong>on</strong>g> Area, Scenic Vista, and Nuisance Stigmas. <str<strong>on</strong>g>The</str<strong>on</strong>g>se variables were<br />
defined in Secti<strong>on</strong> 3, and are summarized in Table 8. Both VIEW and DISTANCE appear in the<br />
model together because a home’s value may be affected in part by the magnitude <str<strong>on</strong>g>of</str<strong>on</strong>g> the view <str<strong>on</strong>g>of</str<strong>on</strong>g><br />
the wind turbines, and in part by the distance from the home to those turbines, and both variables<br />
appear in the Base Model as ordered categorical values. <str<strong>on</strong>g>The</str<strong>on</strong>g> coefficients associated with these<br />
two vectors <str<strong>on</strong>g>of</str<strong>on</strong>g> variables ( 4 and 5 ) represent the marginal impact <str<strong>on</strong>g>of</str<strong>on</strong>g> views <str<strong>on</strong>g>of</str<strong>on</strong>g>, and distances to,<br />
wind turbines <strong>on</strong> sales prices, as compared to a “reference” category <str<strong>on</strong>g>of</str<strong>on</strong>g> residential transacti<strong>on</strong>s,<br />
and should be ordered m<strong>on</strong>ot<strong>on</strong>ically from low to high. 51 This form <str<strong>on</strong>g>of</str<strong>on</strong>g> variable was used to<br />
51 “Reference category” refers to the subset <str<strong>on</strong>g>of</str<strong>on</strong>g> the sample to which other observati<strong>on</strong>s are compared, and is pertinent<br />
when using categorical or “fixed effect” variables.<br />
24