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 ...
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exhibited some multicollinearity (VIF equaled 11.8 and 10.6, respectively). Additi<strong>on</strong>ally, the<br />
home c<strong>on</strong>diti<strong>on</strong> shows a fairly high C<strong>on</strong>diti<strong>on</strong> Index with square feet, indicating collinearity.<br />
More importantly, though, are the collinearity statistics for the variables <str<strong>on</strong>g>of</str<strong>on</strong>g> interest. <str<strong>on</strong>g>The</str<strong>on</strong>g> VIF for<br />
the VIEW variables range from 1.17 to 1.18 and for the DISTANCE variables they range from<br />
1.2 to 3.6, indicating little collinearity with the other variables in the model. To test for this in<br />
another way, a number <str<strong>on</strong>g>of</str<strong>on</strong>g> models are compared with various identified highly collinear variables<br />
removed (e.g., AgeatSale, Sqft) and found that the removal <str<strong>on</strong>g>of</str<strong>on</strong>g> these variables had little influence<br />
<strong>on</strong> the variables <str<strong>on</strong>g>of</str<strong>on</strong>g> interest. <str<strong>on</strong>g>The</str<strong>on</strong>g>refore, despite the presence <str<strong>on</strong>g>of</str<strong>on</strong>g> multicollinearity in the model, it<br />
is not believed that the variables <str<strong>on</strong>g>of</str<strong>on</strong>g> interest are inappropriately influenced. Further, any<br />
correcti<strong>on</strong>s for these issues might cause more harm to the model's estimating efficiency than<br />
taking no further acti<strong>on</strong> (Gujarati, 2003); as such, no specific adjustments to address the presence<br />
<str<strong>on</strong>g>of</str<strong>on</strong>g> multicollinearity are pursued further.<br />
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