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This study uses six years of data from the National Longitudinal Surveys of young males and females to investigate how young people adapt to the market place. A five component recursive model is sequentially estimated for each age from l8 through 27. The components are: education and labor force status, wage determination, turnover, unemployment duration, and wage growth. Evidence is found that competitive forces operate over the long run in the youth labor market. Productive capabilities are rewarded, and workers initially earning less (more) than their potential move up (down) the wage distribution. Job changing facilitates this equilibration, although turnover among females appears to be less purposeful than for males. We also find that deteriorating aggregate economic conditions severely disrupt the youth labor market, increasing unemployment and depressing wage growth.

The first section of this paper describes the patterns of wave non-response, first attrition, and return in the NLSY97. The second section estimates (1) the probability of first attrition, and (2) among attritors, the probability of return in a subsequent round as functions of employment, schooling, and demographic events at the most recent interview thus we can assess whether certain groups of individuals (e.g. the unemployed, students, the married) are more likely to leave and return to the NLSY97. In the third section, we estimate quantile regressions in an attempt to examine whether attritors and returnees differ from those who remain in the survey with respect to the distribution of wage rates and total earnings. Lastly, we conclude by summarizing what the estimates presented here tell us about the nature and implications of attrition in the NLSY97.

This Beyond the Numbers article examines some of the findings from this new supplement related to work during the pandemic, measured over the past week and past year, including nonwork due to the pandemic, changes in employment, telework, and frequency of contact with others during in-person work.

SUBJECTS: 1. National Longitudinal Surveys of Labor Market Experience (U.S.) 2. Labor market--United States -Longitudinal studies.

Also: NTIS Report: PB2006101302

In this chapter [4], we further explore three types of household characteristics that are likely to be correlated both with household structure and with the employment, educational, and behavioral outcomes we examine. They are measures of: (1) human capital enrichment; (2) parenting and home environment; and (3) neighborhood characteristics.

Using information from a subset of the NLSY97, we first show how measures in each of the three categories are associated with household structure. Next, we present 29 regression models similar to those shown in Chapter 3, now adding these three types of household characteristics. We show how the estimated effects of household structure differ once these characteristics are included in the models. We also show the joint influence of each of these three categories of variables on the outcomes.

Revised several times: See for final http://www.bls.gov/ore/pdf/ec060130.pdf

One of the most significant decisions a person makes is the decision to marry, and while this decision may not affect the labor market immediately, in the long run it is a decision with such powerful effects that its impact on shaping the labor market is substantial even if not immediate. Marriage has important effects on fertility. At one time decisions on fertility and decisions on marriage were inextricably entwined. Over the past half-century, this connection has loosened considerably. … the focus of this paper is not on the change in the marriage rate. Instead, the question we seek to answer is whether the process of matching potential spouses with one another has fundamentally changed or not.