Author Archive | Parker Webservices

PDF (5693 views)

Abstract
Author Information
Process Info

Gender, racial, and ethnic gaps in wages are well known, but group disparities in employer-provided benefits, which account for one-quarter of total compensation, are not. We use benefit costs data to study levels and trends in gender, racial, and ethnic gaps in voluntary employer-provided benefits. Analyzing Employer Costs for Employee Compensation microdata on wages and benefit costs for the years 1982 to 2015, matched to Current Population Survey files by wage decile in the industrial sector, we find that (1) benefit gaps were wider than wage gaps for minorities but were narrower for gender, (2) racial and ethnic gaps in benefits increased faster than wage gaps, and (3) the gender gap in benefits decreased faster than the wage gap. We show that these findings reflect the types of jobs women, blacks, and Hispanics have held for the past three decades.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Tali Kristal: Department of Sociology, University of Haifa
E-mail: kristal@soc.haifa.ac.il

Yinon Cohen: Department of Sociology, Columbia University
E-mail: yc2444@columbia.edu

Edo Navot:United States Department of Labor
E-mail: navot.edo@dol.gov

Acknowledgements: We thank the United States–Israel Binational Science Foundation for its partial support of this project. Earlier versions of this article were presented at the summer meeting of the International Sociological Association Research Committee on Social Stratification and Mobility (in 2017) and the Intergenerational Mobility and Income Inequality Workshop held at the University of Haifa (in March 2018). We thank Yitchak Haberfeld and the participants in these meetings for their comments. We gratefully acknowledge the support of the Bureau of Labor Statistics (BLS) and its staff, who facilitated this research with generosity and patience. The research was conducted with restricted access to Bureau of Labor Statistics data. The views expressed in any publication resulting from an analysis of these data do not necessarily reflect the views of the BLS. Additionally, the views expressed herein are those of the authors and do not necessarily reflect the views or policies of the United States Department of Labor or any agency within it.

Citation: Kristal, Tali, Yinon Cohen, and Edo Navot. 2018. “Benefit Inequality among American Workers by Gender, Race and Ethnicity, 1982–2015.” Sociological Science 5: 461-488.
Received: April 17, 2018
Accepted: June 5, 2018
Editors: Jesper Sørensen, Kim Weeden
DOI: 10.15195/v5.a20

"I Didn't Want To Be 'That Girl'": The Social Risks of Labeling, Telling, and Reporting Sexual Assault

By Parker Webservices on July 12, 2018 in Articles

Shamus R. Khan, Jennifer S. Hirsch, Alexander Wamboldt, Claude A. Mellins

Sociological Science, July 12, 2018
10.15195/v5.a19

PDF (17760 views)

1 Citation

Abstract
Author Information
Process Info

This article deploys ethnographic data to explain why some students do not label experiences as sexual assault or report those experiences. Using ideas of social risks and productive ambiguities, it argues that not labeling or reporting assault can help students (1) sustain their current identities and allow for several future ones, (2) retain their social relationships and group affiliations while maintaining the possibility of developing a wider range of future ones, or (3) avoid derailing their current or future goals within the higher educational setting, or what we call “college projects.” Conceptually, this work advances two areas of sociological research. First, it expands the framework of social risks, or culturally specific rationales for seemingly illogical behavior, by highlighting the interpersonal and institutional dimensions of such risks. Second, it urges researchers to be more attentive to contexts in which categorical ambiguity or denial is socially productive and to take categorical avoidance seriously as a subject of inquiry. Substantively, this work advances knowledge of why underreporting of campus sexual assault occurs, with implications for institutional policies to support students who have experienced unwanted nonconsensual sex regardless of how those students may label what happened.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Shamus R. Khan: Department of Sociology, Columbia University
E-mail: sk2905@columbia.edu

Jennifer S. Hirsch: Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University
E-mail: jsh2124@columbia.edu

Alexander Wamboldt:Department of Sociology, Columbia University
E-mail: asw2176@columbia.edu

Claude A. Mellins: Division of Gender, Sexuality and Health, Departments of Psychiatry and Sociomedical Sciences, New York State Psychiatric Institute and Columbia University Medical Center
E-mail: cam14@cumc.columbia.edu

Acknowledgements: The authors thank the research participants, the Undergraduate Advisory Board, Columbia University, and the entire Sexual Health Initiative to Foster Transformation team who contributed to the development and implementation of this ambitious effort, particularly Matthew Chin, Gloria Diaz, Abby DiCarlo, and Megan Kordenbrock. Leigh Reardon, Gloria Diaz, Matthew Chin, and Megan Kordenbrock assisted in the data collection and analysis of this project. Several scholars commented on previous drafts; we owe particular thanks to Maria Abascal, Christopher Muller, and Adam Reich for their suggestions.

This research was funded by Columbia University through generous support from multiple donors. The research benefited from infrastructural support from the Columbia Population Research Center, which is funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health under award number P2CHD058486. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Citation: Khan, Shamus R., Jennifer S. Hirsch, Alexander Wamboldt, and Claude A. Mellins. 2018. “”I Didn’t Want To Be ‘That Girl'”: The Social Risks of Labeling, Telling, and Reporting Sexual Assault.” Sociological Science 5: 432-460.
Received: February 24, 2018
Accepted: May 26, 2018
Editors: Jesper Sørensen, Mario Small
DOI: 10.15195/v5.a19

Network Evolution and Social Situations

By Parker Webservices on July 5, 2018 in Articles

Per Block

Sociological Science, July 5, 2018
10.15195/v5.a18

PDF (3550 views)

Abstract
Author Information
Supplemental Material
Process Info

Studying the evolution of friendship networks has a long tradition in sociology. Multiple micromechanisms underlying friendship formation have been discovered, the most pervasive being reciprocity, transitivity, and homophily. Although each mechanism is studied in depth on its own, their relation to one another is rarely analyzed, and a theoretical framework that integrates research on all of them does not exist. This article introduces a friendship evolution model, which proposes that each micromechanism is related to interactions in different social situations. Based on this model, decreasing returns to embedding in multiple mechanisms are hypothesized. Complete social network data of adolescents and statistical network models are used to test these hypotheses. Results show a consistently negative interaction in line with the formulated model. The consequences of this negative relation between the network evolution mechanisms are explored in a simulation study, which suggests that this is a strong determinant of network-level integration and segregation.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Per Block: Department of Humanities, Social and Political Sciences, ETH Zürich
E-mail: per.block@gess.ethz.ch

Acknowledgements: This work greatly benefited from discussions with and advice from Zsofia Boda, James Hollway, Janne Jonsson, Isabel Raabe, Tom Snijders, Christoph Stadtfeld, Christian Steglich, Andras Vörös, as well as comments by the attendees of the Sunbelt Conference in Redondo Beach, the International Network of Analytical Sociologists (INAS) conference in Boston, the Sociology seminar in Groningen, and the Nuffield Network Seminar. This work was partially carried out at the University of Oxford and benefited from a scholarship from Nuffield College.

Citation: Block, Per. 2018. “Network Evolution and Social Situations.” Sociological Science 5:402-431.
Received: April 30, 2018
Accepted: May 16, 2018
Editors: Jesper Sørensen, Olav Sorenson
DOI: 10.15195/v5.a18

At the Expense of Quality

By Parker Webservices on June 28, 2018 in Articles

Brittany M. Bond, Tatiana Labuzova, Roberto M. Fernandez

Sociological Science, June 28, 2018
10.15195/v5.a17

PDF (2699 views)

Abstract
Author Information
Supplemental Material
Process Info

Many organizations use employee referral programs to incentivize employees to refer potential applicants from their social networks. Employers frequently offer a monetary bonus to employees who refer an applicant, and this is often contingent on whether the person is then hired and retained for a given length of time. In deciding whether to refer someone, referrers face a potential role conflict, as they need to balance their motivations for helping connections find job opportunities with concerns regarding their reputations with their employers. To the extent that monetary incentives shift an employee’s considerations away from finding the best matches for the employer, referral bonuses may increase the chances that lower-quality candidates are referred. Using a survey vignette experiment, we find that even a small referral bonus increases the likelihood that referrers will refer lower-quality candidates, and they are more likely to refer people they do not know well. We further discuss theoretical and practical implications regarding the efficiency of incentivized referral programs in producing quality applicant pools for employers.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Brittany M. Bond: Sloan School of Management, Massachusetts Institute of Technology
E-mail: bbond@mit.edu

Tatiana Labuzova: Sloan School of Management, Massachusetts Institute of Technology
E-mail: labuzova@mit.edu

Roberto M. Fernandez: Sloan School of Management, Massachusetts Institute of Technology
E-mail: robertof@mit.edu

Acknowledgements: We thank our colleagues at the Massachusetts Institute of Technology Sloan School of Management and elsewhere for their feedback on earlier versions of this article. We have also benefitted from help, advice, and feedback from Matthew Amengual, Rhett Andrew Brymer, Santiago Campero, John Carroll, Emilio Castilla, Minjae Kim, Ezra Zuckerman Sivan, Heather Yang, and participants in the Economic Sociology Working Group at MIT Sloan and the Ninth Annual Meeting of the People and Organizations Conference at The Wharton School.

Citation: Bond, Brittany M., Tatiana Labuzova, and Roberto M. Fernandez. 2018. “At the Expense of Quality.” Sociological Science 5: 380-401.
Received: March 27, 2018
Accepted: April 17, 2018
Editors: Jesper Sørensen, Mario Small
DOI: 10.15195/v5.a17

The Diverging Beliefs and Practices of the Religiously Affiliated and Unaffiliated in the United States

By Parker Webservices on June 21, 2018 in Articles

Aaron Gullickson

Sociological Science, June 21, 2018
10.15195/v5.a16

PDF (2559 views)

Abstract
Author Information
Process Info

Since 1990, the percentage of Americans with no religious affiliation has grown substantially. Prior work has shown that between 1990 and 2000, the religiously unaffiliated population also became more religious in belief and practices, both in absolute terms and relative to the affiliated population. This curious empirical finding is believed to be driven by a dilution effect in which moderate believers disaffiliated from organized religion without giving up religious beliefs and practices. In the current article, I use data from the General Social Survey to show that this convergence of beliefs and practices of the religiously affiliated and unaffiliated ended around 2000. Since 2000, the religiously unaffiliated have decreased their belief in God and the afterlife and have not increased their prayer frequency. The trends for the affiliated have been either increasing or unchanging, and thus, the religious practices and beliefs of the religiously affiliated and unaffiliated have diverged since 2000. The change in trend for the religiously unaffiliated after 2000 cannot fully be explained by generational succession or the growing percentage of Americans raised without religion. Although the unaffiliated remain very heterogeneous in their beliefs and practices, these results point to a growing religious polarization in the United States.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Aaron Gullickson: Department of Sociology, University of Oregon
E-mail: aarong@uoregon.edu

Acknowledgements: I would like to thank Michael Hout and Claude Fischer for comments on early drafts of this article. Direct all correspondence to aarong@uoregon.edu. All code and data used to conduct this analysis as well as supplementary material is available at https://osf.io/94kv6/.

Citation: Gullickson, Aaron. 2018. “The Diverging Beliefs and Practices of the Religiously Affiliated and Unaffiliated in the United States.” Sociological Science 5: 361-379.
Received: April 23, 2018
Accepted: May 14, 2018
Editors: Jesper Sørensen, Mario Small
DOI: 10.15195/v5.a16

Mass Imprisonment and the Extended Family

By Parker Webservices on June 14, 2018 in Articles

Pil H. Chung, Peter Hepburn

Sociological Science, June 14, 2018
10.15195/v5.a15

PDF (3662 views)

Abstract
Author Information
Supplemental Material
Process Info

This study employs microsimulation techniques to provide an accounting of exposure to imprisoned or formerly imprisoned kin. We characterize the risk and prevalence of imprisonment within full kinship networks and find that the life course trajectories of familial imprisonment experienced by black and white Americans take on qualitatively distinct forms: the average black American born at the height of the prison boom experienced the imprisonment of a relative for the first time at age 7 and by age 65 belongs to a family in which more than 1 in 7 working-age relatives have ever been imprisoned. By contrast, the average white American who experiences the imprisonment of a relative does not do so until age 39 and by age 65 belongs to a family in which 1 in 20 working-age relatives have ever been imprisoned. Future reductions in imprisonment rates have the potential to meaningfully reduce these racial disparities in family imprisonment burden.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Pil H. Chung: Departments of Sociology and Demography, University of California, Berkeley
E-mail: pchung@berkeley.edu

Peter Hepburn: Departments of Sociology and Demography, University of California, Berkeley
E-mail: pshepburn@demog.berkeley.edu

Acknowledgements: We gratefully acknowledge David Harding, Kristin Turney, Sandra Susan Smith, Daniel Schneider, Christopher Wildeman, Robert Pickett, and Elayne Oliphant for the invaluable advice and feedback they provided at various stages of this work.

Citation: Chung, Pil H., and Peter Hepburn. 2018. “Mass Imprisonment and the Extended Family.” Sociological Science 5: 335-360.
Received: March 29, 2018
Accepted: April 24, 2018
Editors: Jesper Sørensen, Stephen Morgan
DOI: 10.15195/v5.a15

Moore–Penrose Estimators of Age–Period–Cohort Effects: Their Interrelationship and Properties

By Parker Webservices on June 7, 2018 in Articles

Ethan Fosse, Christopher Winship

Sociological Science, June 7, 2018
10.15195/v5.a14

PDF (2452 views)

Abstract
Author Information
Process Info

The intrinsic estimator (IE) has become a widely used tool for the analysis of age–period–cohort (APC) data in sociology, demography, and other fields. However, it has been recently recognized that the IE is a subtype of a larger class of estimators based on the Moore–Penrose generalized inverse (MP estimators) and that different estimators can lead to radically divergent estimates of the true, unknown APC effects. To clarify the differences and similarities of MP estimators, we introduce a canonical form of the linear constraints imposed on the true temporal effects. Using this canonical form, we compare the IE to related MP estimators, examining the conditions under which they recover the true temporal effects, the impact of the size and sign of nonlinearities on the estimated linear effects, and their sensitivity to the number of age, period, and cohort categories. We show that two MP estimators, which we call the difference estimator (DE) and the orthogonal estimator (OE), impose constraints that are both less sensitive and easier to interpret than those of the IE. We conclude with practical guidelines for researchers interested in using MP estimators to estimate temporal effects.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Ethan Fosse: Department of Sociology, Princeton University
E-mail: efosse@princeton.edu

Christopher Winship: Department of Sociology, Harvard University
E-mail: cwinship@wjh.harvard.edu

Citation: Fosse, Ethan, and Christopher Winship. 2018. “Moore–Penrose Estimators of Age–Period–Cohort Effects: Their Interrelationship and Properties.” Sociological Science 5: 304-334.
Received: March 12, 2018
Accepted: April 2, 2018
Editors: Jesper Sørensen, Olav Sorenson
DOI: 10.15195/v5.a14

Gender Convergence in Housework Time: A Life Course and Cohort Perspective

By Parker Webservices on May 31, 2018 in Articles

Thomas Leopold, Jan Skopek, Florian Schulz

Sociological Science, May 31, 2018
10.15195/v5.a13

PDF (4974 views)

Abstract
Author Information
Process Info

Knowledge about gender convergence in housework time is confined to changes studied across repeated cross-sections of data. This study adds a dynamic view that links broader social shifts in men’s and women’s housework time to individual life-course profiles. Using panel data from the German Socio-Economic Panel Study (1985–2015), our analysis is the first to trace changes in housework time across the entire adult life course (ages 20–90) and across a large range of cohorts (1920–1990). The results revealed two types of gender convergence in housework time. First, the gender gap converged across the life course, narrowing by more than 50 percent from age 35 until age 70. Life-course profiles of housework time were strongly gendered, as women’s housework time peaked in younger adulthood and declined thereafter, whereas men’s housework time remained stably low for decades and increased only in older age. Second, the gender gap converged across cohorts, narrowing by 40 percent from cohorts 1940 until 1960. Cohort profiles of housework time showed strong declines in women and moderate increases in men. Both cohort trends were linear and extended to the most recently born, supporting the notion of continued convergence in housework time.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Thomas Leopold: Department of Sociology, University of Amsterdam, and State Institute for Family Research at the University of Bamberg
E-mail: t.leopold@uva.nl

Jan Skopek: Department of Sociology, Trinity College Dublin
E-mail: skopekj@tcd.ie

Florian Schulz: State Institute for Family Research at the University of Bamberg, and Department of Sociology, University of Bamberg
E-mail: florian.schulz@ifb.uni-bamberg.de

Acknowledgements: This study was supported by the German Research Foundation (grant number SCHU 3081/1-1). Replication files to this article are available at the authors’ websites: http://www.thomasleopold.eu, http://www.skopek.org, and http://www.floschulz.de.

Citation: Leopold, Thomas, Jan Skopek, and Florian Schulz. 2018. “Gender Convergence in Housework Time: A Life Course and Cohort Perspective.” Sociological Science 5: 281-303.
Received: March 29, 2018
Accepted: April 19, 2018
Editors: Jesper Sørensen, Sarah Soule
DOI: 10.15195/v5.a13

Gaydar and the Fallacy of Decontextualized Measurement

By Parker Webservices on May 24, 2018 in Articles

Andrew Gelman, Greggor Mattson, Daniel Simpson

Sociological Science, May 24, 2018
10.15195/v5.a12

PDF (4859 views)

Abstract
Author Information
Process Info

Recent media coverage of studies about “gaydar,” the supposed ability to detect another’s sexual orientation through visual cues, reveal problems in which the ideals of scientific precision strip the context from intrinsically social phenomena. This fallacy of objective measurement, as we term it, leads to nonsensical claims based on the predictive accuracy of statistical significance. We interrogate these gaydar studies’ assumption that there is some sort of pure biological measure of perception of sexual orientation. Instead, we argue that the concept of gaydar inherently exists within a social context and that this should be recognized when studying it. We use this case as an example of a more general concern about illusory precision in the measurement of social phenomena and suggest statistical strategies to address common problems.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Andrew Gelman: Department of Statistics and Department of Political Science, Columbia University, New York
E-mail: gelman@stat.columbia.edu

Greggor Mattson: Department of Sociology and Program in Gender, Sexuality, and Feminist Studies, Oberlin College, Ohio
E-mail: gmattson@oberlin.edu

Daniel Simpson: Department of Statistical Sciences, University of Toronto, Canada
E-mail: dp.simpson@gmail.com

Acknowledgements: We thank Michal Kosinski and Martin Plöderl for helpful comments.

Citation: Gelman, Andrew, Greggor Mattson, and Daniel Simpson. 2018. “Gaydar and the Fallacy of Decontextualized Measurement.” Sociological Science 5: 270-280.
Received: March 6, 2018
Accepted: April 1, 2018
Editors: Jesper Sørensen, Olav Sorenson
DOI: 10.15195/v5.a12

Competition in the Family: Inequality between Siblings and the Intergenerational Transmission of Educational Advantage

By Parker Webservices on May 17, 2018 in Articles

Michael Grätz

Sociological Science, May 17, 2018
10.15195/v5.a11

PDF (5406 views)

Abstract
Author Information
Supplemental Material
Process Info

Research on educational mobility is concerned with inequalities between families. Differences in innate abilities and parental responses lead, however, to educational differences between siblings. If parental responses vary by family socioeconomic background, within-family inequality can affect between-family inequality (i.e., educational mobility). This study uses data from the German Socio-Economic Panel Study (SOEP) to test whether sibling similarity in education varies by family socioeconomic background. In addition, I test whether the effects of birth order, birth spacing, and maternal age on education vary by family background. Results show that sibling similarity in education is similar in low– and high–socioeconomic status families. The negative influences of a higher birth order and a younger maternal age on educational attainment, however, are concentrated in socioeconomically disadvantaged families. These findings suggest that socioeconomically advantaged families do not generally compensate for ability differences between their children but that they compensate for disadvantageous life events.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Michael Grätz: Nuffield College, University of Oxford; Faculty of Sociology, Bielefeld University
E-mail: michael.gratz@nuffield.ox.ac.uk

Acknowledgements: I thank the German Academic Exchange Service (DAAD) for supporting my research through a PhD scholarship. The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007–2013) under grant agreement no. 320116 for the research project FamiliesAndSocieties. Earlier versions of this article were presented at the European Consortium for Sociological Research conference in Tilburg, the annual meeting of the Population Association of America in Boston, the ISA RC28 on Social Stratification and Mobility meeting in Budapest, the SOEP User Conference in Berlin, and at workshops in Zürich and Berlin. For their helpful suggestions on earlier drafts of this manuscript, I would like to thank Tina Baier, Fabrizio Bernardi, Diederik Boertien, Andrés Cardona, Dalton Conley, Juho Härkönen, Anne Christine Holtmann, and Florencia Torche.