Table 1.

Characteristics of Analytic Sample Pooled Across All Survey Months from the SIPP 2014 Panel (2013–15)

	Overall	Stayers	Movers	OR
Household income-to-needs ratio (%)
< .5	19.5	19.4	24.1	1.53***
.5–1.0	23.0	22.9	24.3	1.30***
1.0–1.5	26.3	26.3	26.0	1.21***
1.5+	31.3	31.4	25.6	(ref)
Declines in income-to-needs ratio by 25%+ from last month (%)	3.9	3.8	5.5	1.48***
Intrahousehold change (%)	1.0	1.0	1.2	1.91***
Interhousehold change (%)	1.4	1.4	2.6	1.20
Person-months	186,050	181,851	4,199

Note 1.—To examine whether stayers and movers are significantly different from each other for each covariate proportions, I have separately conducted a series of analyses for each covariate as an outcome using mover status in the subsequent month as a sole predictor. For the four category variable of household income-to-needs ratio, I have used a multinomial logistic regression model with household income of more than 150 percent of the Federal Poverty Level (income-to-needs ratio = 1.5) as a base outcome; logistic regression models were used for all the other dichotomous variables. All the analyses were weighted using survey weights for each survey month.

Note 2.— Also, after classifying household type into six categories—individuals living alone, couples, nuclear families, single-parent families, other-family, and other-nonfamily households—I have created two measures of household instability: interhousehold instability, meaning change in household type, and intrahousehold instability, meaning change in household size without changing household type (here I follow Withers, 1997; Richards, White, & Tsui, 1987).

Note 3.—Other covariates, including race, age, gender, education, and indicators of region of residence and metropolitan residence, were not presented in this table; see supplementary Table A1 for full descriptive results. Stayers = those who moved in the subsequent month, Movers = those who did not move in the subsequent month, OR = odds ratio, ref = reference group.

^***p<0.001

^**p<0.01

^*p<0.05