In this analysis, we estimate the number and percent of households designated as is, households that include at least one extra adult. We define adults” as persons aged 18 years “extra and older who reside in a household and who are neither householders, nor the spouses or cohabiting partners of householders. Our definition of adults” includes adults related to the householder and “extra thus captures adult children of householders who move in with parents as well as parents who move in with adult children. That is, estimates of adults” include both relatives of the householder (except “extra spouses) and non-relatives of the householder (except cohabiting partners). The adults” concept “extra also includes persons who are the roommates or housemates of the reference person. Predicting Doubled-Up Household Status Using a pooled sample of households in the 2008 and 2010 CPS ASEC, we estimate logistic regression models to predict the doubled-up status of households. The dichotomous dependent variable in the household models is coded 1 if the household is doubled up and 0 if the household is not doubled up. Independent variables for the full model include survey year as well as the following household characteristics: type, income (in thousands), tenure and geographic region. Other independent variables include householder characteristics such as age, sex, race-ethnicity, nativity, educational attainment, marital status, employment and personal poverty status. In this analysis, we estimate a set of nested models: Model 1 includes survey year as the only covariate; Model 2 incorporates household characteristics and the householder’s socio-demographic characteristics; in Model 3, we test interactions between survey year and the covariates in order to assess whether determinants of doubled-up status changed for households over the course of the recession. Predicting the Doubled-Up Status of Adults Using a pooled sample of households in the 2008 and 2010 CPS ASEC, we estimate two sets of logistic regression models to predict both the doubled-up status of adults and extra adult status. In models predicting doubled-up status, the dichotomous dependent variable is coded 1 if the adult resides in a doubled-up household, and coded 0 otherwise; in models predicting extra adult status, the dichotomous dependent variable is coded 1 if the adult is not the householder, or the spouse or cohabiting partner of the
In this analysis, we estimate the number and percent of households designated as is, households that include at least one extra adult. We define “extra adults” as persons aged 18 years and older who reside in a household and who are neither householders, nor the spouses or cohabiting partners of householders. Our definition of “extra adults” includes adults related to the householder and thus captures adult children of householders who move in with parents as well as parents who move in with adult children. That is, estimates of “extra adults” include both relatives of the householder (except spouses) and non-relatives of the householder (except cohabiting partners). The “extra adults” concept also includes persons who are the roommates or housemates of the reference person. Predicting Doubled-Up Household Status Using a pooled sample of households in the 2008 and 2010 CPS ASEC, we estimate logistic regression models to predict the doubled-up status of households. The dichotomous dependent variable in the household models is coded 1 if the household is doubled up and 0 if the household is not doubled up. Independent variables for the full model include survey year as well as the following household characteristics: type, income (in thousands), tenure and geographic region. Other independent variables include householder characteristics such as age, sex, race-ethnicity, nativity, educational attainment, marital status, employment and personal poverty status. In this analysis, we estimate a set of nested models: Model 1 includes survey year as the only covariate; Model 2 incorporates household characteristics and the householder’s socio-demographic characteristics; in Model 3, we test interactions between survey year and the covariates in order to assess whether determinants of doubled-up status changed for households over the course of the recession. Predicting the Doubled-Up Status of Adults Using a pooled sample of households in the 2008 and 2010 CPS ASEC, we estimate two sets of logistic regression models to predict both the doubled-up status of adults and extra adult status. In models predicting doubled-up status, the dichotomous dependent variable is coded 1 if the adult resides in a doubled-up household, and coded 0 otherwise; in models predicting extra adult status, the dichotomous dependent variable is coded 1 if the adult is not the householder, or the spouse or cohabiting partner of the
SEHSD-WP2011-04.docx