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Cityscape: Volume 17 Number 1 | Article 5

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Urban Problems and Spatial Methods

Volume 17, Number 1

Editors
Mark D. Shroder
Michelle P. Matuga

Does the House or Neighborhood Matter More? Predicting Abandoned Housing Using Multilevel Models

Victoria C. Morckel
University of Michigan-Flint


 

Multilevel models are important to use when data are nested. To demonstrate this point, an example is given where the probability of a house being abandoned is predicted using house- and neighborhood-level variables. The example illustrates the types of findings that are possible when different spatial scales are carefully considered. The final model indicates that for stable neighborhoods, house-level characteristics have a greater impact on the probability than do neighborhood-level characteristics; however, for more distressed neighborhoods, neighborhood characteristics matter more. Without the use of multilevel modeling techniques, this relationship might not have been found.


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