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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 />

138

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