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Journal Article

Labor Force Participation Over the Life Course: The Long-Term Effects of Employment Trajectories on Wages and the Gendered Payoff to Employment

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Katherine Weisshaar, Tania Cabello-Hutt
Demography (2020) 57 (1): 33–60.
DOI: https://doi.org/10.1007/s13524-019-00845-8
Published: 29 January 2020
...Katherine Weisshaar; Tania Cabello-Hutt Abstract In this article, we consider how individuals’ long-term employment trajectories relate to wage inequality and the gender wage gap in the United States. Using more than 30 years of data from the National Longitudinal Survey of Youth 1979 sample, we...
FIGURES
View articletitled, Labor Force Participation Over the Life Course: The Long-Term Effects of <span class="search-highlight">Employment</span> Trajectories on Wages and the Gendered Payoff to <span class="search-highlight">Employment</span> View PDF for article titled, Labor Force Participation Over the Life Course: The Long-Term Effects of <span class="search-highlight">Employment</span> Trajectories on Wages and the Gendered Payoff to <span class="search-highlight">Employment</span>
Includes: Supplementary data
Journal Article

Employment and self-employment in the wake of Hurricane Katrina

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Julie Zissimopoulos, Lynn A. Karoly
Demography (2010) 47 (2): 345–367.
DOI: https://doi.org/10.1353/dem.0.0099
Published: 01 May 2010
...— and for evacuees in any state. We focus on rates of labor force participation, employment, and unemployment, and we extend prior research by also examining rates of self-employment. With the exception of Mississippi, employment and unemployment one year after the hurricane were at similar rates as the end of 2003...
View articletitled, <span class="search-highlight">Employment</span> and self-<span class="search-highlight">employment</span> in the wake of Hurricane Katrina View PDF for article titled, <span class="search-highlight">Employment</span> and self-<span class="search-highlight">employment</span> in the wake of Hurricane Katrina
Journal Article

Unemployment, Nonstandard Employment, and Fertility: Insights From Japan’s “Lost 20 Years”

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James M. Raymo, Akihisa Shibata
Demography (2017) 54 (6): 2301–2329.
DOI: https://doi.org/10.1007/s13524-017-0614-y
Published: 02 October 2017
...James M. Raymo; Akihisa Shibata Abstract In this study, we examine relationships of unemployment and nonstandard employment with fertility. We focus on Japan, a country characterized by a prolonged economic downturn, significant increases in both unemployment and nonstandard employment, a strong...
FIGURES | View All (4)
View articletitled, Unemployment, Nonstandard <span class="search-highlight">Employment</span>, and Fertility: Insights From Japan’s “Lost 20 Years” View PDF for article titled, Unemployment, Nonstandard <span class="search-highlight">Employment</span>, and Fertility: Insights From Japan’s “Lost 20 Years”
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Trends in fertility, unemployment, and nonstandard employment: 1985–2013. Source: Vital Statistics, Labor Force Survey (various years)

Trends in fertility, unemployment, and nonstandard employment: 1985–2013. ...

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in Unemployment, Nonstandard Employment, and Fertility: Insights From Japan’s “Lost 20 Years” > Demography
Published: 02 October 2017
Fig. 1 Trends in fertility, unemployment, and nonstandard employment: 1985–2013. Source: Vital Statistics, Labor Force Survey (various years) More
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Model and counterfactual TFR, holding men’s employment constant at 1980s values. % Married (1980s) is the TFR calculated by holding men’s employment characteristics constant at their 1980s values in the marital status model. TMFR (1980s) is the TFR calculated by holding men’s employment characteristics constant at their 1980s values in the marital fertility model. % Married and TMFR (1980s) is the TFR calculated by holding men’s employment characteristics constant at their 1980s values in both the marital status and marital fertility models

Model and counterfactual TFR, holding men’s employment constant at 1980s va...

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in Unemployment, Nonstandard Employment, and Fertility: Insights From Japan’s “Lost 20 Years” > Demography
Published: 02 October 2017
Fig. 2 Model and counterfactual TFR, holding men’s employment constant at 1980s values. % Married (1980s) is the TFR calculated by holding men’s employment characteristics constant at their 1980s values in the marital status model. TMFR (1980s) is the TFR calculated by holding men’s employment More
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Model and counterfactual TFR, holding women’s employment constant at 1980s values. % Married (1980s) is the TFR calculated by holding women’s employment characteristics constant at their 1980s values in the marital status model. TMFR (1980s) is the TFR calculated by holding women’s employment characteristics constant at their 1980s values in the marital fertility model. % Married and TMFR (1980s) is the TFR calculated by holding women’s employment characteristics constant at their 1980s values in both the marital status and marital fertility models

Model and counterfactual TFR, holding women’s employment constant at 1980s ...

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in Unemployment, Nonstandard Employment, and Fertility: Insights From Japan’s “Lost 20 Years” > Demography
Published: 02 October 2017
Fig. 3 Model and counterfactual TFR, holding women’s employment constant at 1980s values. % Married (1980s) is the TFR calculated by holding women’s employment characteristics constant at their 1980s values in the marital status model. TMFR (1980s) is the TFR calculated by holding women’s More
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Model and counterfactual TFR, holding men’s and women’s employment constant at 1980s values. % Married (1980s) is the TFR calculated by holding men’s and women’s employment characteristics constant at their 1980s values in the marital status model. TMFR (1980s) is the TFR calculated by holding men’s and women’s employment characteristics constant at their 1980s values in the marital fertility model. % Married and TMFR (1980s) is the TFR calculated by holding men’s and women’s employment characteristics constant at their 1980s values in both the marital status and marital fertility models

Model and counterfactual TFR, holding men’s and women’s employment constant...

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in Unemployment, Nonstandard Employment, and Fertility: Insights From Japan’s “Lost 20 Years” > Demography
Published: 02 October 2017
Fig. 4 Model and counterfactual TFR, holding men’s and women’s employment constant at 1980s values. % Married (1980s) is the TFR calculated by holding men’s and women’s employment characteristics constant at their 1980s values in the marital status model. TMFR (1980s) is the TFR calculated More
Journal Article

U.S. Mothers’ Long-Term Employment Patterns

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Alexandra Killewald, Xiaolin Zhuo
Demography (2019) 56 (1): 285–320.
DOI: https://doi.org/10.1007/s13524-018-0745-9
Published: 14 January 2019
...Alexandra Killewald; Xiaolin Zhuo Abstract Previous research on maternal employment has disproportionately focused on the immediate postpartum period and typically modeled either cross-sectional employment status or time until a specific employment transition. We instead conceptualize maternal...
FIGURES | View All (4)
View articletitled, U.S. Mothers’ Long-Term <span class="search-highlight">Employment</span> Patterns View PDF for article titled, U.S. Mothers’ Long-Term <span class="search-highlight">Employment</span> Patterns
Includes: Supplementary data
Journal Article

Mothering Experiences: How Single Parenthood and Employment Structure the Emotional Valence of Parenting

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Ann Meier, Kelly Musick, Sarah Flood, Rachel Dunifon
Demography (2016) 53 (3): 649–674.
DOI: https://doi.org/10.1007/s13524-016-0474-x
Published: 05 May 2016
... experiences and how these vary by key demographic factors: employment and partnership status. Assessing mothers’ emotions in a broad set of parenting activities while controlling for a rich set of person- and activity-level factors, we find that mothering experiences are generally associated with high levels...
FIGURES
View articletitled, Mothering Experiences: How Single Parenthood and <span class="search-highlight">Employment</span> Structure the Emotional Valence of Parenting View PDF for article titled, Mothering Experiences: How Single Parenthood and <span class="search-highlight">Employment</span> Structure the Emotional Valence of Parenting
Journal Article

Maternal Risk Exposure and Adult Daughters’ Health, Schooling, and Employment: A Constructed Cohort Analysis of 50 Developing Countries

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Qingfeng Li, Amy O. Tsui
Demography (2016) 53 (3): 835–863.
DOI: https://doi.org/10.1007/s13524-016-0472-z
Published: 06 May 2016
... currently have paid employment (in cash or kind) Maternal Risk Factors  Maternal age &lt;18 at daughter’s birth Proportion of daughters born to mothers under age 18  Daughter born parity 4 or higher Proportion of daughters born at parity 4 or higher  Daughter born within 18 months of preceding...
FIGURES | View All (4)
View articletitled, Maternal Risk Exposure and Adult Daughters’ Health, Schooling, and <span class="search-highlight">Employment</span>: A Constructed Cohort Analysis of 50 Developing Countries View PDF for article titled, Maternal Risk Exposure and Adult Daughters’ Health, Schooling, and <span class="search-highlight">Employment</span>: A Constructed Cohort Analysis of 50 Developing Countries
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Mothers’ predicted levels of feelings in time with children by employment and partnership status. Predicted values are generated from full models (Model 3, Table 2). Categorical controls are set to their model category, and continuous variables to their weighted mean values. Superscripts denote significant differences at p &lt; .05 from A = Non-employed, single; B = Employed, single; C = Non-employed, partnered; and D = Employed, partnered

Mothers’ predicted levels of feelings in time with children by employment a...

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in Mothering Experiences: How Single Parenthood and Employment Structure the Emotional Valence of Parenting > Demography
Published: 05 May 2016
Fig. 1 Mothers’ predicted levels of feelings in time with children by employment and partnership status. Predicted values are generated from full models (Model 3, Table 2 ). Categorical controls are set to their model category, and continuous variables to their weighted mean values More
Journal Article

Public Sector Employment Inequality in the United States and the Great Recession

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Jennifer Laird
Demography (2017) 54 (1): 391–411.
DOI: https://doi.org/10.1007/s13524-016-0532-4
Published: 13 January 2017
... of the Great Recession. Using data from the Current Population Survey, I investigate changes in public sector employment between 2003 and 2013. My results point to a post-recession double disadvantage for black public sector workers: they are concentrated in a shrinking sector of the economy, and they are more...
FIGURES | View All (7)
View articletitled, Public Sector <span class="search-highlight">Employment</span> Inequality in the United States and the Great Recession View PDF for article titled, Public Sector <span class="search-highlight">Employment</span> Inequality in the United States and the Great Recession
Includes: Supplementary data
Journal Article

Women’s Short-Term Employment Trajectories Following Birth: Patterns, Determinants, and Variations by Race/Ethnicity and Nativity

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Yao Lu, Julia Shu-Huah Wang, Wen-Jui Han
Demography (2017) 54 (1): 93–118.
DOI: https://doi.org/10.1007/s13524-016-0541-3
Published: 04 January 2017
...Yao Lu; Julia Shu-Huah Wang; Wen-Jui Han Abstract Despite a large literature documenting the impact of childbearing on women’s wages, less understanding exists of the actual employment trajectories that mothers take and the circumstances surrounding different paths. We use sequence analysis...
FIGURES
View articletitled, Women’s Short-Term <span class="search-highlight">Employment</span> Trajectories Following Birth: Patterns, Determinants, and Variations by Race&#x2F;Ethnicity and Nativity View PDF for article titled, Women’s Short-Term <span class="search-highlight">Employment</span> Trajectories Following Birth: Patterns, Determinants, and Variations by Race&#x2F;Ethnicity and Nativity
Includes: Supplementary data
Journal Article

Daytime Locations in Spatial Mismatch: Job Accessibility and Employment at Reentry From Prison

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Naomi F. Sugie, Michael C. Lens
Demography (2017) 54 (2): 775–800.
DOI: https://doi.org/10.1007/s13524-017-0549-3
Published: 21 February 2017
...Naomi F. Sugie; Michael C. Lens Abstract Individuals recently released from prison confront many barriers to employment. One potential obstacle is spatial mismatch —the concentration of low-skilled, nonwhite job-seekers within central cities and the prevalence of relevant job opportunities...
FIGURES
View articletitled, Daytime Locations in Spatial Mismatch: Job Accessibility and <span class="search-highlight">Employment</span> at Reentry From Prison View PDF for article titled, Daytime Locations in Spatial Mismatch: Job Accessibility and <span class="search-highlight">Employment</span> at Reentry From Prison
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Public sector employment at ages 25–54. Data are from the CPS-MORG files. The sample is restricted to individuals aged 25–54 in their fourth interview who reported that their current or most recent job was in the public sector

Public sector employment at ages 25–54. Data are from the CPS-MORG files. T...

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in Public Sector Employment Inequality in the United States and the Great Recession > Demography
Published: 13 January 2017
Fig. 2 Public sector employment at ages 25–54. Data are from the CPS-MORG files. The sample is restricted to individuals aged 25–54 in their fourth interview who reported that their current or most recent job was in the public sector More
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Employment rates for all workers by race and sex, 2003–2013. Author’s calculations using data from the CPS-MORG supplements; all estimates use CPS weights. The sample is restricted to individuals aged 16 to 64 with nonmissing information on occupation in their fourth interview

Employment rates for all workers by race and sex, 2003–2013. Author’s calcu...

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in Public Sector Employment Inequality in the United States and the Great Recession > Demography
Published: 13 January 2017
Fig. 3 Employment rates for all workers by race and sex, 2003–2013. Author’s calculations using data from the CPS-MORG supplements; all estimates use CPS weights. The sample is restricted to individuals aged 16 to 64 with nonmissing information on occupation in their fourth interview More
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Predicted probabilities of employment by sex and race for public sector workers, 2003–2013. Author’s calculations using data from the CPS-MORG supplements. Shaded areas represent 95 % confidence intervals. Models include controls for education, age, marital status, occupation, interactions between year and race, and state and month fixed effects. The sample is restricted to individuals aged 16 to 64 in their fourth interview

Predicted probabilities of employment by sex and race for public sector wor...

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in Public Sector Employment Inequality in the United States and the Great Recession > Demography
Published: 13 January 2017
Fig. 5 Predicted probabilities of employment by sex and race for public sector workers, 2003–2013. Author’s calculations using data from the CPS-MORG supplements. Shaded areas represent 95 % confidence intervals. Models include controls for education, age, marital status, occupation More
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Predicted probabilities of employment by gender, race, and sector. Author’s calculations using data from the CPS-MORG supplements. Shaded areas represent 95 % confidence intervals. Models include controls for education, age, marital status, occupation, interactions between year and race, and state and month fixed effects. The sample is restricted to individuals aged 16 to 64 in their fourth interview

Predicted probabilities of employment by gender, race, and sector. Author’s...

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in Public Sector Employment Inequality in the United States and the Great Recession > Demography
Published: 13 January 2017
Fig. 6 Predicted probabilities of employment by gender, race, and sector. Author’s calculations using data from the CPS-MORG supplements. Shaded areas represent 95 % confidence intervals. Models include controls for education, age, marital status, occupation, interactions between year and race More
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Sequence index plot of employment trajectory clusters, SIPP 1996–2013

Sequence index plot of employment trajectory clusters, SIPP 1996–2013

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in Women’s Short-Term Employment Trajectories Following Birth: Patterns, Determinants, and Variations by Race/Ethnicity and Nativity > Demography
Published: 04 January 2017
Fig. 1 Sequence index plot of employment trajectory clusters, SIPP 1996–2013 More
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State distribution plot by employment trajectory clusters, SIPP 1996–2013

State distribution plot by employment trajectory clusters, SIPP 1996–2013

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in Women’s Short-Term Employment Trajectories Following Birth: Patterns, Determinants, and Variations by Race/Ethnicity and Nativity > Demography
Published: 04 January 2017
Fig. 2 State distribution plot by employment trajectory clusters, SIPP 1996–2013 More