Articles

Mexican Ancestry, Immigrant Generation, and Educational Attainment in the United States

Stephen L. Morgan, Dafna Gelbgiser

Sociological Science, September 29, 2014
DOI 10.15195/v1.a23

After introducing alternative perspectives on assimilation and acculturation, we use the 2002-2012 waves of the Education Longitudinal Study to model differences in educational attainment for students sampled as high school sophomores in 2002.  We focus on patterns observed for the growing Mexican immigrant population, analyzing separately the trajectories of 1st, 1.5th, 2nd, and 3rd+ generation Mexican immigrant students, in comparison to 3rd+ generation students who self-identify as non-Hispanic whites and students who self-identify as non-Hispanic blacks or African Americans.  The results suggest that the dissonant acculturation mechanism associated with the segmented assimilation perspective is mostly unhelpful for explaining patterns of educational attainment, especially for the crucial groups of 1.5th and 2nd generation Mexican immigrant students.  Instead, standard measures of family background can account for large portions of group differences in bachelor’s degree attainment, with or without additional adjustments for behavioral commitment to schooling, occupational plans, and educational expectations.  The broad structure of inequality in the United States, as well as the rising costs of bachelor’s degrees, should be the primary source of concern when considering the prospects for the incorporation of the children of recent Mexican immigrants into the mainstream.

Stephen L. Morgan: Johns Hopkins University and Cornell University.  E-mail: stephen.morgan@jhu.edu

Dafna Gelbgiser: Cornell University. Email: dg432@cornell.edu


  • Citation: Morgan, Stephen L. and Dafna Gelbgiser 2014. “Mexican Ancestry, Immigrant Generation, and Educational Attainment in the United States.”Sociological Science 1: 397-422
  • Received: June 19, 2014
  • Accepted: July 14, 2014
  • Editors: Jesper Sørensen, Olav Sorenson
  • DOI: 10.15195/v1.a23

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The Handover in Hong Kong: Impact on Business Formation

Glenn R. Carroll, Mi Feng, Jeroen G. Kuilman

Sociological Science, September 15, 2014
DOI 10.15195/v1.a22

Although the 1997 handover of Hong Kong from the United Kingdom to China was a major political transformation, its impact on new business formation has not been fully scrutinized. Theory suggests contradictory forces may operate before, during, and after such a transformation: either a decline due to uncertainty or an increase due to opportunities created. To determine which force dominated, we first decomposed the analysis by the size of major affected social groups, then analyzed the expected impact. This led us to predict an aggregate depression of business formation, although this effect likely showed great variation and attenuated over time. Our empirical assessment relied on detailed monthly records of business registrations from 1975 to 2013, using GARCH time series modeling to analyze total registrations as well as the proportions for local and non-local businesses. Controlling for macro socioeconomic conditions, we find the registration rate dropped significantly throughout the post-handover era, implying a dominance of uncertainty. Further, new registrations displayed higher volatility following the 1984 announcement of the handover, reflecting shifting public sentiment in the interim about Hong Kong’s economic prospects. We also find a post-handover preference for forming non-local firms with higher asset mobility; this preference diminishes with time.

Glenn Carroll: Stanford University. E-mail: gcarroll@stanford.edu

Mi Feng: Peking University. Email: fengmi@gmail.com

Jereon G. Kuilman: Tilburg University. Email: j.g.kuilman@tilburguniversity.edu


  • Citation: Carroll, Glenn R., Mi Feng, and Jeroen G. Kuilman 2014. “The Handover in Hong Kong: Impact on Business Formation.” Sociological Science 1: 366-396.
  • Received: January 13, 2014
  • Accepted: May 2, 2014
  • Editors: Olav Sorenson
  • DOI: 10.15195/v1.a22

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Age Trajectories of Poverty During Childhood and High School Graduation

Dohoon Lee

Sociological Science, September 1, 2014
DOI 10.15195/v1.a21

This article examines distinct trajectories of childhood exposure to poverty and provides estimates of their effect on high school graduation. The analysis incorporates three key insights from the life course and human capital formation literatures: (1) the temporal dimensions of exposure to poverty, that is, timing, duration, stability, and sequencing, are confounded with one another; (2) age-varying exposure to poverty not only affects, but also is affected by, other factors that vary with age; and (3) the effect of poverty trajectories is heterogeneous across racial and ethnic groups. Results from the Children of the National Longitudinal Survey of Youth show that any extended exposures to poverty substantially lower children’s odds of graduating from high school. Persistent, early, and middle-to-late childhood exposures to poverty reduce the odds of high school graduation by 77 percent, 55 percent, and 58 percent, respectively, compared to no childhood exposure to poverty. The findings thus suggest that the impact of poverty trajectories is insensitive to observed age-varying confounders. These impacts are more pronounced for white children than for black and Hispanic children.

Dohoon Lee:New York University. E-mail: dl111@nyu.edu

  • Citation: Lee, Dohoon. 2014. “Age trajectories of poverty during childhood and high school graduation.” Sociological Science 1: 344-365.
  • Received: May 22, 2014
  • Accepted: June 12, 2014
  • Editors: Jesper Sørensen, Stephen L. Morgan
  • DOI: 10.15195/v1.a21

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An Ecology of Social Categories

Elizabeth G. Pontikes, Michael T. Hannan

Sociological Science, August 18, 2014
DOI 10.15195/v1.a20

This article proposes that meaningful social classification emerges from an ecological dynamic that operates in two planes: feature space and label space. It takes a dynamic view of classification, allowing objects’ movements in both spaces to change the meaning of social categories. The first part of the theory argues that agents assign labels to objects based on perceptions of their similarities to existing members of a category. The second part of the theory shows that an object’s perceived similarity to members of other categories reduces its typicality in a focal category. This means that for categories with a high degree of overlap with other categories in label space (lenient categories), the link between feature-based similarities and labeling weakens. The findings suggest that social classification will likely evolve to contain both constraining and lenient categories. The theory implies that this process is self-reinforcing, so that constraining categories become more constraining, whereas lenient categories become more lenient.

Elizabeth G. Pontikes: University of Chicago. E-mail: elizabeth.pontikes@chicagobooth.edu.

Michael T. Hannan: Stanford University. Email: hannan@stanford.edu.

  • Citation: Pontkes, Elizabeth G. and Michael T. Hannan. 2014. “An Ecology of Social Categories.” Sociological Science 1: 311-343.
  • Received: April 15, 2014
  • Accepted: May 28, 2014
  • Editors: Olav Sorenson
  • DOI: 10.15195/v1.a20

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Comparing Data Characteristics and Results of an Online Factorial Survey between a Population-Based and a Crowdsource-Recruited Sample

Jill Weinberg, Jeremy Freese, David McElhattan

Sociological Science, August 4, 2014
DOI 10.15195/v1.a19

Compared to older kinds of sample surveys, online platforms provide a fast and low-cost platform for factorial surveys, as well as a more demographically diverse alternative to student samples. Two distinct strategies have emerged for recruitment: using panels based on population-based samples versus recruiting people actively seeking to complete online tasks for money. The latter is much cheaper but prompts various concerns about data quality and generalizability. We compare results of three vignette experiments conducted using the leading online panel that uses a population-based paradigm (Knowledge Networks, now GfK) and the leading platform for crowdsource recruitment (Amazon Mechanical Turk). Our data show that, while demographic differences exist, most notably in age, the actual results of our experiments are very similar, especially once these demographic differences have been taken into account. Indicators of data quality were actually slightly better among the crowdsource subjects. Although more evidence is plainly needed, our results support the accumulating evidence for the promise of crowdsource recruitment for online experiments, including factorial surveys.

Jill D. Weinberg: Northwestern University: American Bar Foundation. E-mail: jweinberg@abfn.org

Jeremy Freese: Northwestern University. Email: jfreese@northwestern.edu

David McElhattan: Northwestern University. Email: DavidMcElhattan2017@northwestern.edu

  • Citation: Weinberg, Jill D., Jeremy Freese, and David McElhattan 2014. “Comparing Data Characteristics and Results of an Online Factorial Survey between a Population-Based and a Crowdsource-Recruited Sample.” Sociological Science 1: 292-310.
  • Received: April 23, 2014
  • Accepted: May 22, 2014
  • Editors: Jesper Sørensen, Delia Baldassarri
  • DOI: 10.15195/v1.a19

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Market Transition Theory Revisited: Changing Regimes of Housing Inequality in China, 1988-2002

Xi Song, Yu Xie

Sociological Science, July 21, 2014
DOI 10.15195/v1.a18

This paper revisits the market transition theory of Nee (1989), using housing as an alternative to income as a measure of socioeconomic attainment. We argue that housing space is a better outcome variable by which to evaluate Nee’s market transition theory because it is a more consistent measure of socioeconomic success than income before and after the economic reform. Using three waves of a national household survey in 1988, 1995, and 2002, we compare temporal changes in the role of market and redistributive determinants for income and housing space. In support of a weak form of the theory, our results show that market determinants replaced redistributive determinants over time as the most significant predictors of housing space. In contrast, parallel analyses of income show mixed results for market and redistributive determinants.

Xi Song: Department of Sociology, University of California, Los Angeles. E-mail: songxi@ucla.edu

Yu Xie: Department of Sociology, University of Michigan and Peking University. Email: yuxie@umich.edu

  • Citation: Song, Xi and Yu Xie 2014. “Market Transition Theory Revisited: Changing Regimes of Housing Inequality in China, 1988-2002.” Sociological Science 1: 277-291.
  • Received: May 7, 2014
  • Accepted: June 3, 2014
  • Editors: Jesper Sørensen, Kim Weeden
  • DOI: 10.15195/v1.a18

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Friend Effects and Racial Disparities in Academic Achievement

Jennifer Flashman

Sociological Science, July 7, 2014
DOI 10.15195/v1.a17

Racial disparities in achievement are a persistent fact of the US educational system. An often cited but rarely directly studied explanation for these disparities is that adolescents from different racial and ethnic backgrounds are exposed to different peers and have different friends. In this article I identify the impact of friends on racial and ethnic achievement disparities. Using data from Add Health and an instrumental variable approach, I show that the achievement characteristics of youths’ friends drive friend effects; adolescents with friends with higher grades are more likely to increase their grades compared to those with lower-achieving friends. Although these effects do not differ across race/ethnicity, given differences in friendship patterns, if black and Latino adolescents had friends with the achievement characteristics of white students, the GPA gap would be 17 to 19 percent smaller. Although modest, this effect represents an important and often overlooked source of difference among black and Latino youth.

Jennifer Flashman: Center for Research on Educational Opportunity, University of Notre Dame. E-mail: Jennifer.A.Flashman.1@nd.edu

  • Citation: Jennifer Flashman. 2014. “Friend Effects and Racial Disparities in Academic Achievement.” Sociological Science 1: 260-276.
  • Received: March 27, 2014
  • Accepted: April 29, 2014
  • Editors: Jesper Sørensen, Stephen L. Morgan
  • DOI: 10.15195/v1.a17

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When Forecasts Fail: Unpredictability in Israeli-Palestinian Interaction

Charles Kurzman, Aseem Hasnain

Sociological Science, June 23, 2014
DOI 10.15195/v1.a16

This article explores the paradox that forecasts may be most likely to fail during dramatic moments of historic change that social scientists are most eager to predict. It distinguishes among four types of shocks that can undermine the predictive power of time series analyses: effect shocks that change the size of the causal effect; input shocks that change the causal variables; duration shocks that change how long a causal effect lasts; and actor shocks that change the number of agents in the system. The significance of these shocks is illustrated in Israeli–Palestinian interactions, one of the contemporary world’s most intensely scrutinized episodes, using vector autogression analyses of more than 15,000 Reuters news stories over the past three decades. The intervention of these shocks raises the prospect that some historic episodes may be unpredictable, even retrospectively.

Charles Kurzman: Department of Sociology, University of North Carolina at Chapel Hill. E-mail: kurzman@unc.edu

Aseem Hasnain: Department of Sociology, University of North Carolina at Chapel Hill. E-mail: ahasnain@unc.edu

  • Citation:Kurzman, Charles and Aseem Hasnain. 2014. “When Forecasts Fail: Unpredictability in Israeli-Palestinian Interaction.” Sociological Science 1: 239-259.
  • Received: March 7, 2014
  • Accepted: April 23, 2014
  • Editors: Jesper Sørensen, Delia Baldassarri
  • DOI: 10.15195/v1.a16

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Finding Cultural Holes: How Structure and Culture Diverge in Networks of Scholarly Communication

Daril A. Vilhena, Jacob G. Foster, Martin Rosvall, Jevin D. West, James Evans, Carl T. Bergstrom

Sociological Science, June 9, 2014
DOI 10.15195/v1.a15

Divergent interests, expertise, and language form cultural barriers to communication. No formalism has been available to characterize these “cultural holes.” Here we use information theory to measure cultural holes and demonstrate our formalism in the context of scientific communication using papers from JSTOR. We extract scientific fields from the structure of citation flows and infer field-specific cultures by cataloging phrase frequencies in full text and measuring the relative efficiency of between-field communication. We then combine citation and cultural information in a novel topographic map of science, mapping citations to geographic distance and cultural holes to topography. By analyzing the full citation network, we find that communicative efficiency decays with citation distance in a field-specific way. These decay rates reveal hidden patterns of cohesion and fragmentation. For example, the ecological sciences are balkanized by jargon, whereas the social sciences are relatively integrated. Our results highlight the importance of enriching structural analyses with cultural data.

Daril A. Vilhena: Department of Biology, University of Washington. E-mail: daril@uw.edu

Jacob G. Foster: Department of Sociology, University of California-Los Angeles. E-mail: foster@soc.ucla.edu

Martin Rosvall: Department of Physics, University of Umea. E-mail: martin.rosvall@physics.umu.se

Jevin D. West: Information School, University of Washington. E-mail: jevinw@u.washington.edu

James Evans: Department of Sociology, University of Chicago. E-mail: jevans@uchicago.edu

Carl T. Bergstrom: Department of Biology, University of Washington. E-mail: cbergst@u.washinton.edu

  • Citation: Vilhena, Daril A., Jacob G. Foster, Martin Rosvall, Jevin D. West, James Evans, and Carl T. Bergstrom. 2014. “Finding Cultural Holes: How Structure and Culture Diverge in Networks of Scholarly Communication.” Sociological Science 1: 221-238.
  • Received: December 20, 2013
  • Accepted: February 8, 2014
  • Editors: Jesper Sørensen, Delia Baldassarri
  • DOI: 10.15195/v1.a15

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High Stakes in the Classroom, High Stakes on the Street: The Effects of Community Violence on Student's Standardized Test Performance

Patrick Sharkey, Amy Ellen Schwartz, Ingrid Gould Ellen, Johanna Lacoe

Sociological Science, May 27, 2014
DOI 10.15195/v1.a14

This article examines the effect of exposure to violent crime on students’ standardized test performance among a sample of students in New York City public schools. To identify the effect of exposure to community violence on children’s test scores, we compare students exposed to an incident of violent crime on their own blockface in the week prior to the exam to students exposed in the week after the exam. The results show that such exposure to violent crime reduces performance on English language arts assessments and has no effect on math scores. The effect of exposure to violent crime is most pronounced among African Americans and reduces the passing rates of black students by approximately 3 percentage points.

Patrick Sharkey: Department of Sociology, New York University.
E-mail: Patrick.Sharkey@nyu.edu

Amy Ellen Schwartz: Robert F. Wagner School of Public Service, New York University.
E-mail: Amy.Schwartz@nyu.edu

Ingrid Gould Ellen: Robert F. Wagner School of Public Service, New York University.
E-mail: Ingrid.Ellen@nyu.edu

Johanna Lacoe: Price School of Public Policy, University of Southern California.
Email: lacoe@price.usc.edu

  • Citation: Sharkey, Patrick, Amy Ellen Schwartz, Ingrid Gould Ellen, and Johanna Lacoe. 2014. “High stakes in the classroom, high stakes on the street: The effects of community violence on students’ standardized test performance.” Sociological Science 1: 199-220.
  • Received: October 29, 2013
  • Accepted: December 20, 2013
  • Editors: Jesper Sørensen, Stephen L. Morgan
  • DOI: 10.15195/v1.a14

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