Employment Choices and Wage Differentials: Evidence on Labor Force Data Sets from Pakistan

2021 ◽  
Author(s):  
Ahmed Nawaz Hakro ◽  
Yaseen Ghulam ◽  
Shabbar Jaffry ◽  
Vyoma Shah
Keyword(s):  
Labor Force ◽  
Wage Differentials ◽  
Data Sets ◽  
Employment Choices ◽  
Force Data

The Association Between Presenting Visual Impairment, Health, and Employment Status

2021 ◽  
Vol 115 (3) ◽  
pp. 204-214
Author(s):  
Michele C. McDonnall ◽  
Zhen S. McKnight
Keyword(s):  
Visual Impairment ◽  
Labor Force ◽  
Visual Impairments ◽  
Data Sets ◽  
Chi Square ◽  
Health And Nutrition ◽  
Labor Force Status ◽  
The People ◽  
Self Reports ◽  
Study Participants

Introduction: The purpose of this study was to investigate the effect of visual impairment and correctable visual impairment (i.e., uncorrected refractive errors) on being out of the labor force and on unemployment. The effect of health on labor force status was also investigated. Method: National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2008 ( N = 15,650) was used for this study. Participants were classified into three vision status groups: normal, correctable visual impairment, and visual impairment. Statistical analyses utilized were chi-square and logistic regression. Results: Having a visual impairment was significantly associated with being out of the labor force, while having a correctable visual impairment was not. Conversely, having a correctable visual impairment was associated with unemployment, while having a visual impairment was not. Being out of the labor force was not significantly associated with health for those with a visual impairment, although it was for those with correctable visual impairments and normal vision. Discussion: Given previous research, it was surprising to find that health was not associated with being out of the labor force for those with visual impairments. Perhaps other disadvantages for the people with visual impairments identified in this study contributed to their higher out-of-the-labor-force rates regardless of health. Implications for practitioners: Researchers utilizing national data sets that rely on self-reports to identify visual impairments should realize that some of those who self-identify as being visually impaired may actually have correctable visual impairments. Current research is needed to understand why a majority of people with visual impairments are not seeking employment and have removed themselves from the labor force.

The Markov Model of Labor Force Activity 2012-17: Extended Tables of Central Tendency, Shape, Percentile Points, and Bootstrap Standard Errors

2019 ◽  
Vol 28 (1-2) ◽  
pp. 15-108 ◽  
Author(s):  
Gary R. Skoog ◽  
James E. Ciecka ◽  
Kurt V. Krueger
Keyword(s):  
Markov Model ◽  
Labor Force ◽  
Transition Probabilities ◽  
Standard Errors ◽  
Central Tendency ◽  
Statistical Measures ◽  
Gender And Education ◽  
Labor Force Activity ◽  
Force Data

Abstract This paper updates the Skoog-Ciecka-Krueger (2011) study which used 2005-09 U.S. population labor force data to estimate worklife expectancies. This update presents estimates using 2012-17 labor force data for persons ages 18 and over by sex and education. These updated estimates are presented as before as a set of worklife tables, including extended probability calculations and other statistical measures useful to forensic economists. Transition probabilities, by age, gender, and education, are contained in the electronic supplementary materials.

Peeking Backward: Regional Aspects of Industrial Growth in Post-Unification Italy

2003 ◽  
Vol 63 (4) ◽  
pp. 1059-1102 ◽  
Author(s):  
STEFANO FENOALTEA
Keyword(s):  
Labor Force ◽  
Industrial Production ◽  
Industrial Development ◽  
Industrial Structure ◽  
Initial Conditions ◽  
Industrial Growth ◽  
Concomitant Change ◽  
Comparative Advantages ◽  
Recycling Economy ◽  
Force Data

The new sectoral estimates of industrial production in 1871, 1881, 1901, and 1911 are regionally allocated using census labor-force data. The regional aggregates suggest that the “industrial triangle” emerged over these decades out of a traditional surplus-recycling economy. The concomitant change in the industrial rankings argues against attributing the regions' different paths to their different initial conditions; surprisingly, too, overall growth does not seem closely tied to industrial development. The disaggregated estimates suggest in turn that the industrial structure of the various regions remained relatively similar, as if comparative advantages were generically industrial rather than sector-specific.

Concepts Employed in Labor Force Measurements and Uses of Labor Force Data

1955 ◽  
Vol 50 (271) ◽  
pp. 677-688
Author(s):  
A. Ross Eckler ◽  
Gertrude Bancroft ◽  
Robert Pearl
Keyword(s):  
Labor Force ◽  
Force Measurements ◽  
Force Data

The Relationship between Work-Specific and Generalized Stress and Alcohol and Marijuana Use among Recent Entrants to the Labor Force

1995 ◽  
Vol 25 (2) ◽  
pp. 237-251 ◽  
Author(s):  
Valerie Johnson ◽  
Helene Raskin White
Keyword(s):  
Labor Force ◽  
Young Adulthood ◽  
Marijuana Use ◽  
Full Time ◽  
Work Related ◽  
Time Work ◽  
Males And Females ◽  
The Right ◽  
The Relationship ◽  
Force Data

This study examined changes in alcohol and marijuana use and problem in relation to the transition into full-time work, and the effects of work-related and generalized stress among a group of recent entrants to the labor force. Data were obtained from a sample of males and females who were originally interviewed when they were eighteen years old and followed up twice more at three year intervals. We hypothesized that those who transit into and maintain a full-time job will not increase their level of consumption if they find the job to be the “right fit.” The data indicated that when age, gender, and marital status were controlled, there were few significant effects of the transition to full-time work on use measures. Data from this study provided evidence of a stronger role for generalized stress over that of work-specific stress in predicting changes in drug use in young adulthood.

scholarly journals A RISING TIDE LIFTS ALL BOATS: OLDER WORKER EMPLOYMENT RATES

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S646-S646
Author(s):  
Robert Harootyan
Keyword(s):  
Labor Force ◽  
Older Workers ◽  
Employment Growth ◽  
Population Aging ◽  
High Growth ◽  
Strong Relationship ◽  
National Average ◽  
Negative Change ◽  
Employment Rates ◽  
Force Data

Abstract U.S. population aging has been accompanied by aging of its workforce. One-fourth of workers are now 55+, a result of increasing labor force participation rates (LFPRs) of boomers. Older female LFPRs increased notably since 2000, now 34% (1.5 times greater than the 1947-2000 average). Older male LFPRs steadily declined for 50 years, but increased since 2000 (currently 45%). Despite higher LFPRs, many older workers are underemployed, unemployed or having trouble finding desired jobs. We conducted a pilot to test the hypothesis that areas with strong economic and overall-employment growth are more likely to have higher age 55+ LFPRs - i.e., strong overall demand should increase the likelihood that older persons are employed. Major metropolitan areas were selected because of their large labor pools and ACS age-specific labor force data. Of 318 large metros, we selected 14 whose 2017-2018 employment growth ranged from 0.7% to 3.3% (excluded were those with small negative change and those with concentrated special industries). Results: After calculating age-specific LFPRs from ACS five-year data and overall employment growth for each metro, we found a generally strong relationship between high growth and higher than average LFPRs for persons ages 55+. For example, two opposites: Dallas, with 3.2% employment growth, had age 55+ (five year intervals to 75+) LFPRs substantially higher than the national average (by 4-7 percentage points; significant at 0.05). But Pittsburgh, with 0.8% overall employment growth, had age 55+ LFPRs slightly lower than national average. Conclusion: A rising (economic/employment) tide lifts all boats, including older workers.

Sign in / Sign up

Export Citation Format

Share Document