Table 3.

Abbreviated Results from Multinomial Logistic Regression Models Predicting Onset of Cognitive Impairment, Adults Aged 65+ (N = 48,312)

	Good cognition —> Cognitive impairment					Good cognition —> Death	Good cognition —> Attrit
	M1	M2	M3	M4	M5	M5	M5
Respondent characteristics
Education (<High school)
High school	−0.672***			−0.584***	−0.509***	−0.059	0.044
	[0.060]			[0.061]	[0.061]	[0.050]	[0.037]
Some college	−0.967***			−0.826***	−0.712***	−0.067	0.054
	[0.080]			[0.083]	[0.083]	[0.063]	[0.044]
College+	−0.963***			−0.796***	−0.629***	0.000	0.040
	[0.084]			[0.090]	[0.090]	[0.069]	[0.047]
Early life conditions
Parent’s education (<High school)
High school		−1.056***		−0.135	−0.087	−0.020	0.186***
		[0.085]		[0.090]	[0.089]	[0.066]	[0.034]
Some college		−1.251***		−0.290	−0.262	−0.210	0.143**
		[0.161]		[0.166]	[0.164]	[0.115]	[0.048]
College+		−1.079***		0.016	0.073	0.012	0.260***
		[0.140]		[0.145]	[0.144]	[0.109]	[0.051]
Offspring characteristics
Offspring education (/no offspring w/college)
Some offspring w/college			−0.368***	−0.201**	−0.187*	−0.119	−0.016
			[0.072]	[0.074]	[0.073]	[0.064]	[0.050]
All offspring w/college			−0.585***	−0.307***	−0.231**	−0.159*	−0.093
			[0.075]	[0.079]	[0.079]	[0.065]	[0.051]
Controls for:
Respondent characteristics	X			X	X	X	X
Early life conditions		X		X	X	X	X
Offspring characteristics			X	X	X	X	X
Respondent health					X	X	X
Fit statistics
AIC	68,919.5	84,634.3	85,409.8	68,790.2	67,448.5	67,448.5	67,448.5
BIC	69,372.1	84,794.0	85,542.9	69,482.4	68,300.4	68,300.4	68,300.4

Note: All models account for clustering at household level. AIC = Akaike information criterion; BIC = Bayesian information criterion.

***p < .001. **p < .01. *p < .05.

Source: HRS, 2000–2012.