The NLSY97 standalone data files are intended to be used by crime researchers for analyses without requiring supplementation from the main NLSY97 data set. The data contain age-based calendar year variables on arrests and incarcerations, self-reported criminal activity, substance use, demographic variables and relevant variables from other domains which are created using the NLSY97 data. The main NLSY97 data are available for public use and can be accessed online at the NLS Investigator Web site and at the NACJD Web site (as ICPSR 3959). Questionnaires, user guides and other documentation are available at the same links. The National Longitudinal Survey of Youth 1997 (NLSY97) was designed by the United States Department of Labor, comprising the National Longitudinal Survey (NLS) Series. Created to be representative of United States residents in 1997 who were born between the years of 1980 and 1984, the NLSY97 documents the transition from school to work experienced by today's youths through data collection from 1997. The majority of the oldest cohort members (age 16 as of December 31, 1996) were still in school during the first survey round and the youngest respondents (age 12) had not yet entered the labor market.

Dataset

This dataset was created by Tom Harris

Contents

The primary purpose of the five sets of surveys that comprise the National Longitudinal Surveys is the collection of data on the labor force experience of specific age-sex groups of Americans: Older Men aged 45-59 in 1966, Mature Women aged 30-44 in 1967, Young Men aged 14-24 in 1966, Young Women aged 14-24 in 1968, and Youth aged 14-21 in 1979. Each of the 1960s cohorts has been surveyed 12 or more times over the years, and the Youth cohort has been surveyed yearly since 1979. The major topics covered within the surveys of each cohort include: (1) labor market experience variables (including labor force participation, unemployment, job history, and job mobility), (2) socioeconomic and human capital variables (including education, training, health and physical condition, marital and family characteristics, financial characteristics, and job attitudes), and (3) selected environmental variables (size of labor force and unemployment rates for local area). While the surveys of each cohort have collected data on the above core sets of variables, cohort-specific data have been gathered over the years focusing on the particular stage of labor market attachment that each group was experiencing. Thus, the surveys of young people have collected data on their educational goals, high school and college experiences, high school characteristics, and occupational aspirations and expectations, as well as military service. The surveys of women have gathered data on topics such as fertility, child care, responsibility for household tasks, care of parents, volunteer work, attitudes towards women working, and job discrimination. As the older-aged cohorts of men and women approached labor force withdrawal, surveys for these groups collected information on their retirement plans, health status, and pension benefits. Respondents within the 1979 Youth cohort have been the focus of a number of special surveys, including the collection of data on: (1) last secondary school attended, including transcript information and selected aptitude/intelligence scores, (2) test scores from the Armed Services Vocational Aptitude Battery (ASVAB), (3) illegal activities participation including police contacts, and (4) alcohol use and substance abuse. Finally, the 1986 and 1988 surveys of the Youth cohort included the administration of a battery of cognitive-socioemotional assessments to the approximately 7,000 children of the female 1979 Youth respondents. Data for the five cohorts are provided within main file releases, i.e., Mature Women 1967-1989, Young Women 1968-1991, Young Men 1966-1981, Older Men 1966-1990, and NLSY (Youth) 1979-1992. In addition, the following specially constructed data files are available: (1) a file that specifies the relationships among members of the four original cohorts living in the same household at the time of the initial surveys, i.e., husband-wife, mother-daughter, brother-sister, etc., (2) an NLSY workhistory tape detailing the week-by-week labor force attachment of the youth respondents from 1978 through the most current survey date, (3) an NLSY child-mother file linking the child assessment data to other information on children and mothers within the NLSY, (4) a supplemental NLSY file of constructed and edited fertility variables, (5) a women's support network tape detailing the geographic proximity of the relatives, friends, and acquaintances of 6,308 female NLSY respondents who were interviewed during the 1983-1985 surveys, and (6) two 1989 Mature Women's pension file detailing information on pensions and other employer-provided benefits. (Source: ICPSR, retrieved 07/05/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07610.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study is an analysis of 13 waves of data retrieved from the National Longitudinal Survey of Youth 1997 survey (NLSY97) in order to examine the influence of marriage on immigrant offending trajectories from adolescence to young adulthood. There were three specific research questions considered: Are second generation immigrants entering into marriage at a slower pace than their first generation immigrant peers? What role does marriage play in understanding immigrant offending? Is the relationship between marriage and offending affected by immigrant generation or country/region of birth (i.e., nativity)? Distributed here is the code used for the secondary analysis and the code to compile the datasets.

Adjusted odds of trajectory membership for all significant covariates (with 95% confidence intervals).

Results of population poisson models with total maternal partners.

Using data from both the National Longitudinal Survey of Youth (NLSY) and High School and Beyond (HSB), we investigate if public high schools differ in the production of earnings and if rates of return to future education vary with public high school attended. Given evidence of such variation, we seek to explain why schools differ by proposing that standard measures of school quality as well as proxies for community characteristics can explain the observed parameter variation across high schools. Since analysis of widely-used data sets such as the NLSY and HSB necessarily involves observing only a few students per high school, we employ an exact finite sample estimation approach. We find evidence that schools differ and that most proxies for high school quality play modest roles in explaining the variation in outcomes across public high schools. We do find evidence that the education of the teachers in the high school as well as the average family income associated with students in the school play a small part in explaining variation at the school-level.

Means, standard deviations, and percentages for full sample and siblings only sample.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study examines several explanations for the observed racial/ethnic disparities in drug arrests, the consequences of drug arrest on subsequent drug offending and social bonding, and whether these consequences vary by race/ethnicity. The study is a secondary analysis of the National Longitudinal Survey of Youth 1997 (NLSY97). Distributed here are the codes used for the secondary analysis and the code to compile the datasets. Please refer to the codebook appendix for instructions on how to obtain all the data used in this study.

Pooled OLS regression results.

The study assesses the extent of commonalities between individuals who become involved in violent extremist groups and criminal gangs, and the processes by which individuals engage in each group. Following this comparison, the extent to which the empirical results support the potential for anti-gang programs to bolster the resilience of communities against violent extremism and other forms of crime is assessed. Quantitative assessment was conducted by comparing individuals included in the Profiles of Individual Radicalization in the United States (PIRUS) dataset with a subset of individuals drawn from the National Longitudinal Survey of Youth 1997 (NLSY97) along a number of demographic, social, and socioeconomic characteristics. Supplementary survey data was also collected from 45 former and current gang members in the United States concurrently with long-form interviews, covering a range of variables including background characteristics, demographic information, and attitudes among the respondents.

Additional test with “blurred” categorical color line—Pooled OLS regression results.

Results of hybrid sibling poisson models, various partner specifications.

Results of population poisson models with maternal partners separated by cohabiting and married.

Yearly Occupational Prestige Scores and Income of Sample: The National Longitudinal Survey of Youth, 1999–2009.

Demographic characteristics of NLSY subjects under age 16.

Individual level characteristics by smoking trajectory.

As divorce and cohabitation dissolution in the US have increased, partnering has expanded to the point that sociologists describe a merry-go-round of partners in American families. Could one driver of the increase in the number of partners be an intergenerational transmission of partnering? We discuss three theoretical perspectives on potential mechanisms that would underlie an intergenerational transmission of partnering: the transmission of economic hardship, the transmission of marriageable characteristics and relationship skills, and the transmission of relationship commitment. Using the National Longitudinal Survey of Youth 1979 Child and Young Adult study (NLSY79 CYA) and their mothers in the National Longitudinal Survey of Youth 1979 (NLSY79), we examined the intergenerational transmission of partnering, including both marital and cohabitating unions, using prospective measures of family and economic instability as well as exploiting sibling data to try to identify potential mechanisms. Even after controlling for maternal demographic characteristics and socioeconomic factors, the number of maternal partners was positively associated with offspring’s number of partners. Hybrid sibling Poisson regression models that examined sibling differential experiences of maternal partners indicated that there were no differences between siblings who witnessed more or fewer maternal partners. Overall, results suggested that the transmission of poor marriageable characteristics and relationship skills from mother to child may warrant additional attention as a potential mechanism through which the number of partners continues across generations.

Multivariate Path Model of the Indirect and Total Effects of Parent Highest Education and Respondent Victimization on Prestige and Annual Income: The National Longitudinal Survey of Youth, 1999–2009 (N = 80,018 time points nested in 8,901 persons).

aCumulative years of two biological parents in the house before age 18bMaximum number of years of education of father or mothercProportion of participants in any post-secondary educationNote: X indicates multiplication and is used to describe interaction effects. Variables interacted withthemselves (e.g., sex X victimization) represent non-linear effects of those predictors on outcomes.Multivariate Linear Regression of the Effect of Victimization on Occupational Prestige and Income: The National Longitudinal Survey of Youth, 1999–2009 (N = 80,018 time points nested in 8,901 persons).