Table 3.

Logistic Regression Models for Delinquent Single Family Housing Lots in Dayton, Ohio

Variable	Model 1			Model 2
Variable	Coefficient	Odds R.	z	Coefficient	Odds R.	z
# of delinquent lots	0.0008	1.0008^***	4.26
Commercial lots				−3e–5	1.0000	−0.02
Industrial lots				−0.0077	0.9923	−1.22
Residential lots				0.0011	1.0011^***	4.03
Mean delinquent vear	0.0935	1.0981^***	6.48	0.0831	1.0867^***	5.36
# of active commercial lots	−0.0022	0.9978^*	−2.45
Apartment lots				−0.0116	0.9884^***	−3.84
Retail lots				−0.0080	0.9920⁺	−1.85
Restaurant lots				0.0023	1.0023	0.30
Office lots				0.0022	1.0022	0.35
Parking lots				0.0081	1.0081	0.80
# of active industrial lots	0.0090	1.0091^***	6.55
Heavy manufacturing lots				−0.0159	0.9842	−0.71
Light manufacturing lots				0.0143	1.0144	0.81
Small industrial lots				0.0306	1.0311^***	4.21
Food and drink ind. lots				−0.0511	0.9502^*	−2.07
Lot characteristics
Value	−0.0601	0.9417^***	−48.31	−0.0593	0.9424^***	−46.24
(Property tax)^0.5	0.1854	1.2036^***	81.39	0.1855	1.2038^***	81.36
Rental property	−0.6475	0.5234^***	−15.31	−0.6498	0.5222^***	−15.35
Building age	0.0098	1.0099^***	11.81	0.0100	1.0100^***	11.77
Floor area	−0.5413	0.5820^**	−2.92	−0.4985	0.6074^**	−2.68
(Floor area)²	0.1578	1.1709^**	2.62	0.1417	1.1522^*	2.34
Neiahborhood characteristics
% minority	0.0099	1.0099^***	16.44	0.0098	1.0099^***	15.60
% vacant housing units	0.0008	1.0008	0.56	0.0017	1.0017	1.14
% housing unit ownership	0.0016	1.0016	1.53	0.0005	1.0005	0.41
% unemployment	−0.0006	0.9994	−0.50	−0.0003	0.9997	−0.23
Constant	−4.5175		−23.79	−4.4885		−22.66
N		43,037			43,037
Log Likelihood		−15,037			-15,020
Pseudo R-squared (McFadden’s Adjusted)		0.387			0.388

⁺

Note: p < .10;

p < .05;

^**

p < .01;

^***

p < .001;

Odds R. Odds Ratio; ind. industrial