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Source: U.S. Army Research Institute
Resulting in 2 citations.
1. Lakhani, Hyder
Gilroy, Curtis
Capps, Cavan
Logistic Microdata Model of Army Reenlistment
U.S. Army Research Institute PERI-RG Draft Working Paper, July 1984.
Cohort(s): NLSY79
Publisher: U.S. Army Behavior and Systems Research Laboratory
Keyword(s): Military Enlistment; Military Personnel; Veterans; Wages

The 1981 NLSY, ages 19-24, is used to determine the shadow civilian wages of Army enlisted personnel on the verge of their first term reenlistment/separation decision. The use of NLSY data is an improvement over the previous studies which used civilian wages of veterans from sample surveys, which tended to bias civilian wages upward. The natural logarithm of civilian wages of the youth cohort in our model is a function of education, experience, experience squared, race, number of dependents and unemployment rate. All of the coefficients had the expected signs and all, except experience squared, were statistically significant at the 0.01 level. These coefficients were used to impute civilian wages of military enlistees who were eligible for reenlistment. The logistic reenlistment equations used micro data for 81 Military Occupational Specialties grouped into 17 occupationally homogeneous Career Management Fields. The explanatory variables for reenlistment or separation included relative pay (military pay/estimated civilian wage), selective reenlistment bonus (SRB), race, number of dependents, unemployment rates, and AFQT score (CAT I-III A). Almost all of the coefficients, except unemployment, had the expected signs and were statistically significant. SRB and relative pay were particularly important.
Bibliography Citation
Lakhani, Hyder, Curtis Gilroy and Cavan Capps. "Logistic Microdata Model of Army Reenlistment." U.S. Army Research Institute PERI-RG Draft Working Paper, July 1984.
2. Mukherjee, Sumanta
The Impact of Maternal Employment on Child's Mental Health: Evidence from NLSY-Child
Working Paper, University of Kansas, September 2009
Cohort(s): Children of the NLSY79
Publisher: Department of Economics, University of Kansas
Keyword(s): Behavior Problems Index (BPI); Child Self-Administered Supplement (CSAS); Children, Behavioral Development; Children, Mental Health; Delinquency/Gang Activity; Home Observation for Measurement of Environment (HOME); Household Composition; Maternal Employment; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading); Risk-Taking

Permission to reprint the abstract has not been received from the publisher.

An extensive literature has analyzed the effect of a mother's employment on cognitive outcomes of her children. However, the role of maternal employment in a child's noncognitive development has received comparatively scant attention. In this paper, data on a panel of children aged four through fifteen are analyzed to explore the effect of maternal employment on a child's mental health outcomes. Using ordinary least squares and fixed effects estimates, we find that mothers who spend more time at home have children with fewer emotional problems: they score lower on the behavioral problems index; they are also less likely to be frequently unhappy or depressed. In addition, children with mothers spending more time at home are less likely to hurt someone, steal something, or skip school.
Bibliography Citation
Mukherjee, Sumanta. "The Impact of Maternal Employment on Child's Mental Health: Evidence from NLSY-Child." Working Paper, University of Kansas, September 2009.