The Work Experience of Men in the Labor Force: An Occupational Study

ILR Review ◽  
1964 ◽  
Vol 17 (2) ◽  
pp. 238
Author(s):  
T. Aldrich Finegan
Keyword(s):  
Labor Force ◽  
Work Experience

Human Capital, Marital and Birth Timing, and the Postnatal Labor Force Participation of Married Women

1989 ◽  
Vol 10 (3) ◽  
pp. 359-382 ◽  
Author(s):  
THEODORE GREENSTEIN
Keyword(s):  
Human Capital ◽  
Labor Force ◽  
Labor Force Participation ◽  
Work Experience ◽  
Proportional Hazards ◽  
Age At First Birth ◽  
Birth Timing ◽  
First Birth ◽  
First Marriage ◽  
Paid Labor

Using materials from the National Longitudinal Surveys of Labor Market Experience of Young Women, this article analyzes postnatal labor force participation data for married husband-present women over a 15-year period in order to study factors associated with the length of time out of the labor force following the first birth. Survival analyses and proportional hazards models indicate that human capital variables (education, prebirth work experience, and income) and marital and birth-timing variables (age at first marriage and age at first birth) have significant estimated effects on the rate and timing of reentry into the paid labor force.

scholarly journals The Effects of Early Work Experience on Young Women's Labor Force Attachment

Social Forces ◽  
2001 ◽  
Vol 79 (3) ◽  
pp. 1005-1034 ◽  
Author(s):  
S. Alon ◽  
D. Donahoe ◽  
M. Tienda
Keyword(s):  
Labor Force ◽  
Work Experience ◽  
Women's Labor ◽  
Early Work Experience ◽  
Labor Force Attachment

scholarly journals Pengaruh Faktor Sosio Demografis terhadap Lama Mencari Kerja bagi Tenaga Kerja Terdidik di Provinsi Sumatera Selatan

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Nidatri Mutiah Zatzah ◽  
Bambang Suprihatin ◽  
Zunaidah
Keyword(s):  
High School ◽  
Labor Force ◽  
Work Experience ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Vocational High School ◽  
Long Time ◽  
Socio Demographic Factors ◽  
The Unemployed

The number of labor force in South Sumatra Province when viewed from the percentage of the unemployed workforce for the uneducated workforce is 27% while the educated workforce is unemployed by 73%. The purpose of this study was to explain the influence of socio-demographic factors on the length of time looking for educated workers in South Sumatra Province. This study uses secondary data in the form of the 2017 National Labor Force Survey (Sakernas) South Sumatra Province and the use of multiple linear regression analysis (OLS). The results of the analysis of the research that has been carried out state that the respondents have the characteristics, namely that the majority are male with a high school / vocational high school education level and only a few have work experience. The average respondent was 26.79 years old, had an income of 2124029.59 rupiah and had a long time to look for work 17.31 months. The variables that were not related to the length of time looking for work were age, sex and education. The variables that have a significant relationship with the length of time looking for work are work experience and income

scholarly journals PELUANG TERJADINYA PENGANGGURAN DI PROVINSI BENGKULU : SEBERAPA BESAR?

2020 ◽  
Vol 1 (2) ◽  
pp. 70-83
Author(s):  
Lisa Marini ◽  
Novi Tri Putri
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Marital Status ◽  
Labor Force ◽  
Logistic Regression Analysis ◽  
Work Experience ◽  
Population Characteristics ◽  
Training Course ◽  
Labor Force Survey ◽  
The Family

The aim of this research is to analyze how are opportunity occured unemployment based on characteristics of populations in Bengkulu province. Characteristics of populations that used are education, training/course certificate, age, gender, work experience, marital status, status in the family, and area of residence. The analytical method used to achieve this goal is the logistic regression analysis. Type of key data use row data derived from the National Labor Force Survey (Sakernas) February 2018. The result of the calculation using the program SPSS 20.0 was found that not all the variables of population characteristics significantly affect the chances of unemployment with a confidence level of 95 percent. Education and age are significantly affect of unemployment in Bengkulu Province, while training/course certificate, gender, work experience, marital status, status in the family and area residence are not significantly affect of unemployment in Bengkulu Province. Keywords: Logistic Regression Analysis, National Labor Force Survey  (Sakernas), Unemployment.

Female Work Experience: Voluntary Versus Involuntary Labor Force Activity

1991 ◽  
Vol 4 (2) ◽  
pp. 163-174 ◽  
Author(s):  
Frank P. Corcione ◽  
Robert J. Thornton
Keyword(s):  
Labor Force ◽  
Work Experience ◽  
Labor Force Activity

Abstract No abstract available.

scholarly journals The New Life Cycle of Women's Employment: Disappearing Humps, Sagging Middles, Expanding Tops

2017 ◽  
Vol 31 (1) ◽  
pp. 161-182 ◽  
Author(s):  
Claudia Goldin ◽  
Joshua Mitchell
Keyword(s):  
Life Cycle ◽  
Labor Force ◽  
Work Experience ◽  
Women's Employment ◽  
Birth Cohorts ◽  
Women’S Employment ◽  
Unpaid Leave ◽  
Using Data ◽  
Continuous Work ◽  
The Impact

A new life cycle of women's employment emerged with cohorts born in the 1950s. For prior cohorts, life-cycle employment had a hump shape; it increased from the twenties to the forties, hit a peak, and then declined starting in the fifties. The new life cycle of employment is initially high and flat, there is a dip in the middle, and a phasing out that is more prolonged than for previous cohorts. The hump is gone, the middle is a bit sagging, and the top has greatly expanded. We explore the increase in cumulative work experience for women from the 1930s to the 1970s birth cohorts using data from the Survey of Income and Program Participation and the Health and Retirement Study. We investigate the changing labor force impact of a birth event across cohorts and by education, and also the impact of taking leave or quitting. We find greatly increased labor force experience across cohorts, far less time out after a birth, and greater labor force recovery for those who take paid or unpaid leave. Increased employment of women in their older ages is related to more continuous work experience across the life cycle.

scholarly journals IDENTIFIKASI FAKTOR YANG MEMPENGARUHI JENIS PEKERJAAN BERDASARKAN KARAKTERISTIK PENDUDUK DI SUMATERA BARAT

2017 ◽  
Vol 2 (1) ◽  
pp. 150-165
Author(s):  
Widdya Rahmalina
Keyword(s):  
Labor Force ◽  
Work Experience ◽  
Classification Tree ◽  
Professional Staff ◽  
Field Of Study ◽  
Cart Analysis ◽  
Labor Force Survey ◽  
West Sumatra ◽  
And Gender ◽  
Tree Method

The type of work in West Sumatra is thought to be influenced by factors in the area of ​​residence, sex, field of study, highest education completed, and work experience. To see the factors that influence the type of work used the classification tree method in CART (Classification & Regression Tree). The classification tree method is used to estimate the effect of explanatory variables on categorical response variables starting from the initial tree formation by sealing, determining the best sealing, stopping the sealing, trimming, to selecting the best tree and determining the estimated response value. The data used in this study are 6068 residents of West Sumatra who have worked with the highest education of at least a high school equivalent of the raw data from the National Labor Force Survey (National Labor Force Survey) in August 2007. Based on the results of CART analysis using the classification tree method, a tree is obtained the optimum classification consists of 1 root node, 3 deep nodes, and 5 final nodes. The first node is divided by the variable field of study, then the node included in the variable is the area of ​​residence, the field of study, and gender. The final 5 knots state the 5 groups of people who have main jobs, where 2 groups are dominated by the type of work of professional staff, technicians and other workers. Therefore it can be concluded that the factors that influence the type of occupation of the population of West Sumatra are the field of study, area of ​​residence and gender.

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