Table 4.

Incidence Rate Ratios from Poisson Models Predicting the Number of Kin and Non-Kin Additions and Losses Between Rounds 2 and 3, by Mover Status.

	Non-Movers (R2 to R3)

	# Kin Network Members		# Non-Kin Network Members

	(1a) Additions	(2a) Losses	(3a) Additions	(4a) Losses
Concentrated disadvantage	1.03	1.13^*	1.06	1.05
	(.04)	(.05)	(.06)	(.03)
Residential instability	.96	1.02	1.02	.99
	(.03)	(.03)	(.04)	(.03)
Perceived neighborhood social ties	.86^***	1.02	1.27^***	1.05
	(.03)	(.03)	(.06)	(.03)
F(df)	19.50^*** (24, 47.7)	8.56^*** (24, 47.9)	8.45^***(24, 47.8)	2.39^**(24, 47.8)
N	1,913	1,783	1,913	1,195
	Movers (R2 to R3)

	# Kin Network Members		# Non-Kin Network Members

	(1b) Additions	(2b) Losses	(3b) Additions	(4b) Losses

Concentrated disadvantage	1.05	1.06	1.10	1.14
	(.12)	(.10)	(.08)	(.10)
Residential instability	1.01	.95	.88^†	.99
	(.08)	(.06)	(.06)	(.06)
Perceived neighborhood social ties	.93	1.05	1.11	.97
	(.08)	(.06)	(.07)	(.04)
F(df)	9.97^***(24, 46.7)	3.83^***(24, 46.7)	8.20^***(24, 46.7)	6.31^***(22, 45.9)
N	412	382	412	294

^†

p < .10;

p < .05;

^**

p < .01;

^***

p < .001 (two-sided tests). 95% confidence intervals in parentheses.

All models control for the inverse Mills ratio, self-rated health, marital/partner status at Round 2, retirement between Rounds 2 and 3, widowhood between Rounds 2 and 3, and number of kin (models 1a, 1b, 2a, and 2b) and non-kin (models 3a, 3b, 4a, and 4b) network members at Round 2.