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Fernandez-Kranz, Daniel; Lacuesta, Aitor; Rodriguez-Planas, Nuria – Journal of Human Resources, 2013
Using Spanish Social Security records, we document the channels through
which mothers fall onto a lower earnings track, such as shifting into part-
time work, accumulating lower experience, or transitioning to lower-paying
jobs, and are able to explain 71 percent of the unconditional individual fixed-
effects motherhood wage gap. The earnings…
Descriptors: Foreign Countries, Salary Wage Differentials, Mothers, Part Time Employment
Sullivan, Paul – Journal of Human Resources, 2009
This paper develops an empirical occupational choice model that corrects for misclassification in occupational choices and measurement error in occupation-specific work experience. The model is used to estimate the extent of measurement error in occupation data and quantify the bias that results from ignoring measurement error in occupation codes…
Descriptors: Computation, Models, Career Choice, Error Correction

Goss, Ernst P.; Paul, Chris – Journal of Human Resources, 1986
This study concludes that, on the one hand, age increases the psychic cost of moving and decreases the length of the accrual period for benefits, thus inhibiting geographic mobility. On the other hand, age increases the general skill level, thus stimulating geographic mobility. (Author/CT)
Descriptors: Age, Decision Making, Job Skills, Migration

Kim, Moon-Kak; Polachek, Solomon W. – Journal of Human Resources, 1994
Application of single and simultaneous equation fixed-effects and random-effects shows that earnings appreciation with experience and depreciation with labor market interruptions are comparable for men and women. Adjusting for heterogeneity reduces the wage gap to 20%; adjusting for endogeneity reduces it nearly to zero. (SK)
Descriptors: Employed Women, Estimation (Mathematics), Salary Wage Differentials, Sex Differences

Shaw, Kathryn – Journal of Human Resources, 1994
Data from the Panel Study of Income Dynamics (1967-87) revealed little change in persistence of female labor supply because women have tended to become continuous workers, replacing continuous nonworkers. Periods of reduced hours are now less prolonged among older women. Employment patterns now appear to develop before marriage. (SK)
Descriptors: Employed Women, Employment Patterns, Labor Supply, Marital Status

Klepinger, Daniel; Lundberg, Shelly; Plotnick, Robert – Journal of Human Resources, 1999
Analysis of data from a sample of women in the National Longitudinal Survey of Youth shows that adolescent fertility substantially reduces years of formal education and work experience. These reductions in human capital have a significant effect on wages at age 25. (SK)
Descriptors: Adolescents, Early Parenthood, Educational Attainment, Females

Shaw, Kathryn L. – Journal of Human Resources, 1984
In this study, occupational investment--the accumulation of skills acquired to work within an occupation--is demonstrated to be a more significant determinant of earnings growth than length of experience. (SK)
Descriptors: Career Change, Career Choice, Economic Research, Human Capital

Barron, John M.; And Others – Journal of Human Resources, 1993
Employment survey data show that, although training intensity in the first three months of employment is similar for men and women, women are employed in positions with shorter training and less capital. These differences and lower market valuation for women's work experience account for much of the wage gap. (SK)
Descriptors: Entry Workers, Job Training, Labor Turnover, Salary Wage Differentials

Maranto, Cheryl L.; Rodgers, Robert C. – Journal of Human Resources, 1984
Using data on wage claims investigations of a state labor department, this study indicates that investigators become significantly more productive during the first six years of job experience. (SK)
Descriptors: Government Employees, Human Capital, On the Job Training, Productivity

Rosen, Sherwin – Journal of Human Resources, 1972
Describes a model of the labor market which includes an implicit market for learning opportunities through work experience. (BH)
Descriptors: Human Capital, Investment, Labor Market, Mathematical Models

Neumark, David; McLennan, Michele – Journal of Human Resources, 1995
Using self-reported sex discrimination data from the National Longitudinal Survey of Young Women, a study found that working women who report discrimination are more likely to change employers or interrupt their labor force participation. However, women who report discrimination do not accrue less experience or have lower wage growth. (SK)
Descriptors: Employed Women, Employment Patterns, Feedback, Human Capital

Cao, Jian; And Others – Journal of Human Resources, 1996
Data from the National Longitudinal Survey of Youth--Mother and Children and Washington State Family Income studies showed that secondary dropouts, General Educational Development (GED) recipients, and secondary graduates cannot be distinguished by hours of work. All three groups earned the same in the Washington sample; in the other sample,…
Descriptors: Dropouts, Females, High School Graduates, Human Capital

Wellington, Alison J. – Journal of Human Resources, 1993
Data from the Panel Study of Income Dynamics showed a 4% decrease in the gender wage gap for whites between 1976 and 1985. White men tend to have higher earnings because of more tenure in areas with greater rewards; women tend to have more part-time experience, which has fewer such rewards. (SK)
Descriptors: On the Job Training, Part Time Employment, Salary Wage Differentials, Sex Differences

Sandell, Steven H.; Shapiro, David – Journal of Human Resources, 1978
Utilizing data on the work experience of women, the authors examine both the empirical specification of human capital models of earnings in the presence of discontinuous work experience over the life cycle and simultaneous-equations models of wage determination and labor supply. (EM)
Descriptors: Data Analysis, Employed Women, Employment Patterns, Job Training

Jud, G. Donald; Walker, James L. – Journal of Human Resources, 1982
This study attempts to explain differences in Black and White earnings as of 1975 and changes in earnings between 1967 and 1975. Variables include schooling, years of experience in the labor market, personal characteristics (marital status, health), and area of residence. (CT)
Descriptors: Black Education, Black Employment, Blacks, Economic Climate
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