1. FACTORS AFFECTING HOUSING PRICES IN SYRACUSE Sample collected from Zillow in January, 2015 Urban Policy Class Exercise - Lecy

2. Factors we included in the model: Size (sqft, lot size) Age Garage Bedrooms and bathrooms Proximity to parks Proximity to restaurants / coffee shops Proximity to highways Quality of the school district Crime in the neighborhood

3. Houses from the Sample

4. Syracuse Min. $12,000 1st Qu. $56,000 Median $72,250 Mean $90,430 3rd Qu. $105,600 Max. $368,000

9. http://streetsblog.net/2012/05/18/the-urban-premium-walk-score-linked-to-housing-prices/

17. $29k difference

18. $31k difference

19. Crime

21. http://www.syracusepolice.org/crimemaps.asp http://www.syracuse.com/crime/police-reports/ Data Sources: http://nyc.pediacities.com/fsmaps/NYCCrimeMap/ https://nycopendata.socrata.com/browse?tags=crime

23. Interpretation is important and the direction of causality is key. Black individuals have historically been forced into poor neighborhoods through policies related to financing.

25. Call: lm(formula = price ~ sqft + lot.size + bath + as.factor(garage) + year + school + as.factor(highway)) Residuals: Min 1Q Median 3Q Max -124344 -25200 -6265 20814 234900 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1226070.3197 292503.8139 -4.192 0.0000492 *** sqft 21.8326 8.0212 2.722 0.00733 ** lot.size 1.2815 0.5831 2.198 0.02964 * bath 6955.1216 6006.2320 1.158 0.24887 as.factor(garage)Yes 8715.1961 8382.2037 1.040 0.30029 year 642.3403 152.4899 4.212 0.0000454 *** school 3239.3426 1545.2450 2.096 0.03788 * as.factor(highway)Yes -19390.7499 13961.7835 -1.389 0.16712 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 45260 on 138 degrees of freedom (2 observations deleted due to missingness) Multiple R-squared: 0.3867, Adjusted R-squared: 0.3556 F-statistic: 12.43 on 7 and 138 DF, p-value: 2.794e-12

26. Call: lm(formula = price ~ sqft + lot.size + bath + as.factor(garage) + year + school + as.factor(highway) + crime.count + prop.black) Residuals: Min 1Q Median 3Q Max -126598 -28577 -2151 16837 224230 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1248499.2550 300472.2987 -4.155 0.0000571 *** sqft 24.1991 8.2012 2.951 0.00373 ** lot.size 2.0580 0.8139 2.528 0.01260 * bath 5993.2584 6129.6874 0.978 0.32994 as.factor(garage)Yes 10939.3050 8283.1177 1.321 0.18883 year 670.3501 155.5576 4.309 0.0000312 *** school -1221.7387 1553.6031 -0.786 0.43301 as.factor(highway)Yes -21254.7470 14326.0465 -1.484 0.14022 crime.count -86.3146 327.9719 -0.263 0.79281 prop.black -36358.6674 17552.5350 -2.071 0.04021 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 45910 on 136 degrees of freedom (2 observations deleted due to missingness) Multiple R-squared: 0.3779, Adjusted R-squared: 0.3368 F-statistic: 9.181 on 9 and 136 DF, p-value: 8.631e-11