1-20 of 784

Search Results for Doubling up

Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Article

Cumulative Effects of Doubling Up in Childhood on Young Adult Outcomes

Hope Harvey
Demography (2020) 57 (2): 501–528.
DOI: https://doi.org/10.1007/s13524-020-00860-0
Published: 23 March 2020
...Hope Harvey Abstract Living in a doubled-up, or shared, household is a common experience. Nearly one-half of children in the United States double up at some point during childhood, yet we know little about the cumulative effects of these households on children. This study estimates the effects...
View articletitled, Cumulative Effects of <span class="search-highlight">Doubling</span> <span class="search-highlight">Up</span> in Childhood on Young Adult Outcomes View PDF for article titled, Cumulative Effects of <span class="search-highlight">Doubling</span> <span class="search-highlight">Up</span> in Childhood on Young Adult Outcomes
Includes: Supplementary data
Journal Article

The Effect of Unemployment on Household Composition and Doubling Up

Emily E. Wiemers
Demography (2014) 51 (6): 2155–2178.
DOI: https://doi.org/10.1007/s13524-014-0347-0
Published: 25 November 2014
...Emily E. Wiemers Abstract “Doubling up” (sharing living arrangements) with family and friends is one way in which individuals and families can cope with job loss, but relatively little research has examined the extent to which people use coresidence to weather a spell of unemployment. This project...
FIGURES
View articletitled, The Effect of Unemployment on Household Composition and <span class="search-highlight">Doubling</span> <span class="search-highlight">Up</span> View PDF for article titled, The Effect of Unemployment on Household Composition and <span class="search-highlight">Doubling</span> <span class="search-highlight">Up</span>
Journal Article

The Prevalence and Economic Value of Doubling Up

Natasha V. Pilkauskas, Irwin Garfinkel, Sara S. McLanahan
Demography (2014) 51 (5): 1667–1676.
DOI: https://doi.org/10.1007/s13524-014-0327-4
Published: 28 August 2014
...Natasha V. Pilkauskas; Irwin Garfinkel; Sara S. McLanahan Abstract “Doubling up” (living with relatives or nonkin) is a common source of support for low-income families, yet no study to date has estimated its economic value relative to other types of public and private support. Using longitudinal...
FIGURES
View articletitled, The Prevalence and Economic Value of <span class="search-highlight">Doubling</span> <span class="search-highlight">Up</span> View PDF for article titled, The Prevalence and Economic Value of <span class="search-highlight">Doubling</span> <span class="search-highlight">Up</span>
Journal Article

“Excess” Doubling Up During COVID: Changes in Children's Shared Living Arrangements

Mariana Amorim, Natasha Pilkauskas
Demography (2023) 60 (5): 1283–1307.
DOI: https://doi.org/10.1215/00703370-10949975
Published: 01 October 2023
...Mariana Amorim; Natasha Pilkauskas Abstract The proportion of U.S. children living in doubled-up households, in which a child lives with a parent plus adult kin or nonkin, has increased in the last 40 years. Although shared living arrangements are often understood as a strategy to cope with crises...
FIGURES | View All (4)
View articletitled, “Excess” <span class="search-highlight">Doubling</span> <span class="search-highlight">Up</span> During COVID: Changes in Children&#x27;s Shared Living Arrangements View PDF for article titled, “Excess” <span class="search-highlight">Doubling</span> <span class="search-highlight">Up</span> During COVID: Changes in Children&#x27;s Shared Living Arrangements
Includes: Supplementary data
Journal Article

Under Whose Roof? Understanding the Living Arrangements of Children in Doubled-Up Households

Hope Harvey, Rachel Dunifon, Natasha Pilkauskas
Demography (2021) 58 (3): 821–846.
DOI: https://doi.org/10.1215/00703370-9101102
Published: 01 June 2021
...Hope Harvey; Rachel Dunifon; Natasha Pilkauskas Abstract A growing literature in family demography examines children's residence in doubled-up (shared) households with extended family members and nonkin. This research has largely overlooked the role of doubling up as a housing strategy, with “hosts...
FIGURES | View All (7)
View articletitled, Under Whose Roof? Understanding the Living Arrangements of Children in <span class="search-highlight">Doubled</span>-<span class="search-highlight">Up</span> Households View PDF for article titled, Under Whose Roof? Understanding the Living Arrangements of Children in <span class="search-highlight">Doubled</span>-<span class="search-highlight">Up</span> Households
Includes: Supplementary data
Image
Percentage doubled up by child’s age and mother’s relationship status. Statistics are weighted using city weights. The sample is restricted to mothers who responded in all waves. All differences by relationship status are significant at p &lt; .05 except (1) married versus cohabiting at the birth and age 3 and (2) single versus cohabiting at age 9

Percentage doubled up by child’s age and mother’s relationship status. Stat...

in The Prevalence and Economic Value of Doubling Up > Demography
Published: 28 August 2014
Fig. 1 Percentage doubled up by child’s age and mother’s relationship status. Statistics are weighted using city weights. The sample is restricted to mothers who responded in all waves. All differences by relationship status are significant at p &lt; .05 except (1) married versus cohabiting More
Image
Percentage of doubled-up households. Pools all households in all reference months and weights using household weights

Percentage of doubled-up households. Pools all households in all reference ...

in The Effect of Unemployment on Household Composition and Doubling Up > Demography
Published: 25 November 2014
Fig. 1 Percentage of doubled-up households. Pools all households in all reference months and weights using household weights More
Image
Fig. 7 Sequence index plots of children's patterns of residence in doubled-up households. The sample is restricted to children who were ever observed doubled up (N = 6,853). Each plot shows the trajectories of all children who ever lived in the household type; because children could live in multiple household types over the observation period, household type categories are not mutually exclusive. Sequences are ordered by the number of waves observed in the focal doubled-up household type, followed by the number of waves observed in any other doubled-up household type. Source: 1996, 2001, 2004, and 2008 Survey of Income and Program Participation panels, pooled.

Sequence index plots of children's patterns of residence in doubled-up hous...

in Under Whose Roof? Understanding the Living Arrangements of Children in Doubled-Up Households > Demography
Published: 01 June 2021
Fig. 7 Sequence index plots of children's patterns of residence in doubled-up households. The sample is restricted to children who were ever observed doubled up ( N  = 6,853). Each plot shows the trajectories of all children who ever lived in the household type; because children could live More
Image
Fig. 1 Percentage of children in each doubled-up household type by host/guest status in 2018. N = 651,948. Statistics are weighted. Source: American Community Survey, 2018.

Percentage of children in each doubled-up household type by host/guest stat...

in Under Whose Roof? Understanding the Living Arrangements of Children in Doubled-Up Households > Demography
Published: 01 June 2021
Fig. 1 Percentage of children in each doubled-up household type by host/guest status in 2018. N  = 651,948. Statistics are weighted. Source: American Community Survey, 2018. More
Image
Fig. 2 Percentage of children in each doubled-up household type by host/guest status over time. Statistics are weighted. Gap shows where data switch from SIPP to ACS. Sources: Survey of Income and Program Participation, 1996 panel (N = 25,843), 2001 panel (N = 19,973), and 2004 panel (N = 27,944); American Community Survey, 2005–2018 (N = 704,608 in 2005; N = 651,948 in 2018).

Percentage of children in each doubled-up household type by host/guest stat...

in Under Whose Roof? Understanding the Living Arrangements of Children in Doubled-Up Households > Demography
Published: 01 June 2021
Fig. 2 Percentage of children in each doubled-up household type by host/guest status over time. Statistics are weighted. Gap shows where data switch from SIPP to ACS. Sources: Survey of Income and Program Participation, 1996 panel ( N  = 25,843), 2001 panel ( N  = 19,973), and 2004 panel ( N More
Image
Fig. 3 Percentage of children in each doubled-up household type by host/guest status and maternal education. The sample is restricted to children with at least one parent present. Statistics are weighted. Mother's education is reported; if the mother is not present, father's education is used. Source: American Community Survey, 2018 (N = 620,031).

Percentage of children in each doubled-up household type by host/guest stat...

in Under Whose Roof? Understanding the Living Arrangements of Children in Doubled-Up Households > Demography
Published: 01 June 2021
Fig. 3 Percentage of children in each doubled-up household type by host/guest status and maternal education. The sample is restricted to children with at least one parent present. Statistics are weighted. Mother's education is reported; if the mother is not present, father's education is used More
Image
Fig. 4 Percentage of children in each doubled-up household type by host/guest status by age of the child. The sample is restricted to children with at least one parent present. Statistics are weighted. Source: American Community Survey, 2018 (N = 620,031).

Percentage of children in each doubled-up household type by host/guest stat...

in Under Whose Roof? Understanding the Living Arrangements of Children in Doubled-Up Households > Demography
Published: 01 June 2021
Fig. 4 Percentage of children in each doubled-up household type by host/guest status by age of the child. The sample is restricted to children with at least one parent present. Statistics are weighted. Source: American Community Survey, 2018 ( N  = 620,031). More
Image
Fig. 5 Percentage of children in each doubled-up household type by host/guest status and mother's marital status. The sample is restricted to children with at least one parent present. Statistics are weighted. Mother's marital status is reported; if the mother is not present, father's marital status is used. Source: American Community Survey, 2018 (N = 620,031).

Percentage of children in each doubled-up household type by host/guest stat...

in Under Whose Roof? Understanding the Living Arrangements of Children in Doubled-Up Households > Demography
Published: 01 June 2021
Fig. 5 Percentage of children in each doubled-up household type by host/guest status and mother's marital status. The sample is restricted to children with at least one parent present. Statistics are weighted. Mother's marital status is reported; if the mother is not present, father's marital More
Image
Fig. 6 Percentage of children in each doubled-up household type by host/guest status and race/ethnicity. The sample is restricted to children with at least one parent present. Statistics are weighted. Mother's race/ethnicity is reported; if the mother is not present, father's race/ethnicity is used. Children whose mother's race is reported as “other” (N = 21,068) are not shown. Source: American Community Survey, 2018 (N = 620,031).

Percentage of children in each doubled-up household type by host/guest stat...

in Under Whose Roof? Understanding the Living Arrangements of Children in Doubled-Up Households > Demography
Published: 01 June 2021
Fig. 6 Percentage of children in each doubled-up household type by host/guest status and race/ethnicity. The sample is restricted to children with at least one parent present. Statistics are weighted. Mother's race/ethnicity is reported; if the mother is not present, father's race/ethnicity More
Journal Article

The Effect of the Earned Income Tax Credit on Housing and Living Arrangements

Natasha Pilkauskas, Katherine Michelmore
Demography (2019) 56 (4): 1303–1326.
DOI: https://doi.org/10.1007/s13524-019-00791-5
Published: 17 June 2019
... arrangements (doubling up, number of people in the household, and crowding) of low-income families. Using the Current Population Survey, the American Community Survey/decennial census, and the Fragile Families and Child Wellbeing Study, we employ a parameterized difference-in-differences strategy to examine...
FIGURES
View articletitled, The Effect of the Earned Income Tax Credit on Housing and Living Arrangements View PDF for article titled, The Effect of the Earned Income Tax Credit on Housing and Living Arrangements
Includes: Supplementary data
Journal Article

The Effects of the 2021 Child Tax Credit on Housing Affordability and the Living Arrangements of Families With Low Incomes

Natasha V. Pilkauskas, Katherine Michelmore, Nicole Kovski
Demography (2024) 61 (4): 1069–1096.
DOI: https://doi.org/10.1215/00703370-11458327
Published: 01 August 2024
... that parents reported a change in their living arrangements and reduced their household size, both effects driven by fewer mothers living with a partner (and not a reduction in doubling up). We find some differences in effects by race and ethnicity and earnings. Our findings illustrate that the monthly credit...
FIGURES
View articletitled, The Effects of the 2021 Child Tax Credit on Housing Affordability and the Living Arrangements of Families With Low Incomes View PDF for article titled, The Effects of the 2021 Child Tax Credit on Housing Affordability and the Living Arrangements of Families With Low Incomes
Includes: Supplementary data
Journal Article

Job Displacement and First Birth Over the Business Cycle

Barbara Hofmann, Michaela Kreyenfeld, Arne Uhlendorff
Demography (2017) 54 (3): 933–959.
DOI: https://doi.org/10.1007/s13524-017-0580-4
Published: 05 June 2017
... on fertility in the short and medium term, up to five years after displacement. Our analysis is based on rich administrative data from Germany, with an observation period spanning more than 20 years. We apply inverse probability weighting (IPW) to flexibly control for the observed differences between women who...
FIGURES | View All (5)
View articletitled, Job Displacement and First Birth Over the Business Cycle View PDF for article titled, Job Displacement and First Birth Over the Business Cycle
Includes: Supplementary data
Image
Fig. 2 alt-text: Bar chart illustrating the predicted probability of nonresident parent–child contact by nonresident parent household wealth quartile. Darker gray bars display results from an unadjusted model, and lighter gray bars display results from an adjusted model. Children whose nonresident parent occupies the highest wealth quartile are slightly more likely to have higher levels of contact with their nonresident parent, although differences are not statistically significant.

Predicted probability of greater contact by nonresident parent wealth quart...

in Nonresident Parent Wealth Among Children > Demography
Published: 01 February 2025
education, reference person's employment status in nonresident parent household, nonresident parent's adjusted total family income, whether the nonresident parent and child resided in the same state, whether the child ever lived in a doubled-up household, year, and the child's resident household wealth. n More
Journal Article

Life Shocks and Homelessness

Marah A. Curtis, Hope Corman, Kelly Noonan, Nancy E. Reichman
Demography (2013) 50 (6): 2227–2253.
DOI: https://doi.org/10.1007/s13524-013-0230-4
Published: 19 July 2013
... circumstances occurring when market conditions and individual characteristics collide. We consider both a traditional measure of homelessness (which includes lack of a permanent residence or residence in temporary shelters) and a broader and more contemporary measure that also includes doubling up without...
FIGURES
View articletitled, Life Shocks and Homelessness View PDF for article titled, Life Shocks and Homelessness
Includes: Supplementary data
Image
Fig. 3 alt-text: Three panels of bar charts illustrating the relationship between nonresident parent wealth (x-axis) and child support payment and receipt (y-axis). Darker gray bars display results from an unadjusted model, and lighter gray bars display results from an adjusted model. The first panel shows that children whose nonresident parent occupies the highest two wealth quartiles were more likely to receive child support payments in all months of last year than children whose nonresident parent occupies the lowest wealth quartile. The second panel shows that children whose nonresident parent occupies the highest three wealth quartiles received more child support than children whose nonresident parent occupies the lowest wealth quartile. The third panel shows that nonresident parents who occupy the highest wealth quartile paid more in child support than nonresident parents who occupy the lowest three wealth quartiles.

Dimensions of child support payment and receipt by nonresident parent wealt...

in Nonresident Parent Wealth Among Children > Demography
Published: 01 February 2025
parent's education, reference person's employment status in nonresident parent household, nonresident parent's adjusted total family income, whether the nonresident parent and child resided in the same state, whether the child ever lived in a doubled-up household, year, and the child's resident household More