Source: U.S. Department of Health, Education and Welfare
1. Barnes, Gary T.
Erickson, Edward W.
Hill, G. Watts Jr.
Johnson, Thomas
Extension of the College-Going/College-Choice Model to the NLS Class of 1971 Data
Final Report, U.S. Department of Health, Education and Welfare, National Institute of Education, 1975
Cohort(s): Young Men, Young Women
Publisher: U.S. Department of Health, Education, and Welfare, => U.S. Health & Human Services
Keyword(s): Colleges; High School; Research Methodology; Schooling
This report is the culmination of an intensive feasibility study intended to determine whether the data being generated by the National Longitudinal Survey can be used as the basis for econometric estimation of the systematic effects of those factors which affect the college-going and college-choice decisions of young persons. The econometric model used was an extension of the College-Going/College-Choice Model first developed in Direct Aid to Students: A Radical Structural Reform (HEW-OS-71- 134). The estimation procedure utilized was the statistical package developed by Marc Nerlove and S. James Press in Univariate and Multivariate Log-Linear and Logistic Models (Santa Monica: RAND, R-1306- EDA/NIH, l973). In the analysis, a multi-stage decision process was examined and variables which were expected to affect the college-going and college-choice decisions were considered; i.e., economic, demographic, educational and institutional proximity or supply variables.
Barnes, Gary T., Edward W. Erickson, G. Watts Jr. Hill and Thomas Johnson. "Extension of the College-Going/College-Choice Model to the NLS Class of 1971 Data." Final Report, U.S. Department of Health, Education and Welfare, National Institute of Education, 1975.
2. Grasso, John T.
Kohen, Andrew I.
The National Longitudinal Surveys' Data Processing System
In: Survey of Income and Program Participation: Proceedings of the Workshop on Data Processing. D. Kasprzyk, et al., eds. Washington, DC: U.S. Department of HEW, 1978
Cohort(s): NLS General
Keyword(s): Data Quality/Consistency; NLS Description; Survey of Income and Program Participation (SIPP)
This paper discusses some important aspects of experience gained from the NLS project in an effort to assist planners of the new Survey of Income and Program Participation (SIPP). Reviewed are the dilemmas inherent in managing a large-scale, complex data base and coordinating a project whose responsibilities are split among several geographically distant agencies. The review provides details on the impact of staff turnover, staffing expertise, internal organizational design and management decisions on significant aspects of the NLS survey design and data processing tasks and concludes with specific suggestions and recommendations for the implementation of SIPP.
Grasso, John T. and Andrew I. Kohen. "The National Longitudinal Surveys' Data Processing System" In: Survey of Income and Program Participation: Proceedings of the Workshop on Data Processing. D. Kasprzyk, et al., eds. Washington, DC: U.S. Department of HEW, 1978
3. Wallace, T. Dudley
Ihnen, Loren A.
Palmer, Steven K.
An Empirical Investigation of the Determinants of the Expenditures and Time Spent on Formal Schooling: A Test of a Life Cycle Model of Human Capital
Cohort(s): Young Men
Keyword(s): Educational Costs; Life Cycle Research; Schooling
This project explores a life cycle model for implications about economic variables influencing choice of length of full-time schooling and applies the resulting model to the NLS data. A Ben Porath type model was solved for the reduced form relating length of full-time schooling to the exogenous variables (model parameters). In addition, directional effects of these variables on length of full-time schooling were derived. The results confirm the implication of the theoretical model that schooling choice is subject to economic explanation.
Wallace, T. Dudley, Loren A. Ihnen and Steven K. Palmer. "An Empirical Investigation of the Determinants of the Expenditures and Time Spent on Formal Schooling: A Test of a Life Cycle Model of Human Capital." Final Report, U.S. Department of Health, Education and Welfare, National Institute of Education, 1975.