Table 4. Results Estimating the Effect of Gentrification (Binary) on Residential Mobility for Different Subpopulations.

	Move (Any Move) as the Outcome		Move Downward as the Outcome (Movers)
	Coefficient	Standard Error	Coefficient	Standard Error
Binary Gentrification Results
Gentrify (binary)	0.004**	0.002	-0.002	0.007
Gentrification & risk score (Ref: Nongentrify & Score 750+)
Gentrify	-0.005	0.004	-0.050***	0.016
Score 650–749	0.011***	0.003	0.041***	0.012
Score 580–649	0.003	0.003	0.078***	0.012
Score <580	-0.028***	0.002	0.121***	0.012
Gentrify & Score 650–749	0.036***	0.004	0.023	0.017
Gentrify & Score 580–649	0.015***	0.004	0.053***	0.017
Gentrify & Score <580	-0.002	0.004	0.074***	0.016
Gentrify + Gentrify & Score <580	-0.007***		0.024**
Gentrification & mortgage status (Ref: Nongentrify & Mortgage)
Gentrify	-0.009***	0.003	-0.032***	0.012
No mortgage	0.002	0.002	0.028***	0.007
Gentrify & No mortgage	0.016***	0.003	0.037***	0.012
Gentrify + Gentrify & No mortgage	0.007***		0.005
Gentrification & risk score (for residents without mortgages)
Gentrify	0.003	0.004	-0.058***	0.019
Score 650–749	0.017***	0.003	0.042***	0.015
Score 580–649	0.008***	0.003	0.076***	0.015
Score <580	-0.026***	0.003	0.125***	0.014
Gentrify & Score 650–749	0.037***	0.005	0.026	0.020
Gentrify & Score 580–649	0.007	0.005	0.058***	0.021
Gentrify & Score <580	-0.010**	0.004	0.082***	0.020
Gentrify + Gentrify & Score<580	-0.007***		0.024**

Note: From linear probability regressions using pooled data (2003–2004 and 2006–2014);

^{***, **, *}represent significant at 0.01, 0.05, or 0.1 level, respectively; control variables include risk score, household size, age, mortgage status, serious delinquency, distance to City Hall and universities, year dummies, and neighborhood indicators; estimation is based on data from the FRBNY Consumer Credit Panel/Equifax.