"Internet Job Search and Match Quality of Young Workers: Past and Present"

2020 ◽  
Vol 27 (2) ◽  
pp. 139-174
Author(s):  
Myungho Paik
Keyword(s):  
Job Search ◽  
Young Workers ◽  
Match Quality ◽  
Internet Job Search

Precarious Work and Young Workers in the United States

2018 ◽  
Author(s):  
Arne L. Kalleberg
Keyword(s):  
Labor Market ◽  
The United States ◽  
Young Workers ◽  
Severe Problem ◽  
Precarious Work ◽  
The Great Recession ◽  
The Us ◽  
Training Opportunities ◽  
And Training

This chapter discusses how the growth of precarious work and the polarization of the US labor market have produced major problems for the employment experiences of young workers. A prominent indicator of young workers’ difficulties in the labor market has been the sharp increase in their unemployment rates since the Great Recession. Another, equally if not more severe, problem faced by young workers today is the relatively low quality of the jobs that they were able to get. Other problems include the exclusion of young workers from the labor market and from education and training opportunities; the inability to find jobs that utilize their education, training, and skills; and the inability to obtain jobs that provide them with an opportunity to get a foothold in a career that would lead to progressively better jobs and thus be able to construct career narratives.

scholarly journals Quality of Life and Associated Factors in Young Workers

2021 ◽  
Vol 18 (4) ◽  
pp. 2153
Author(s):  
José Andrade Louzado ◽  
Matheus Lopes Cortes ◽  
Márcio Galvão Oliveira ◽  
Vanessa Moraes Bezerra ◽  
Sóstenes Mistro ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Odds Ratio ◽  
Cross Sectional Study ◽  
Young Workers ◽  
Cross Sectional ◽  
Physically Active ◽  
Significance Level ◽  
Self Rated Health ◽  
Assess Quality

Background: This study aimed to identify the factors associated with the quality of life of young workers of a Social Work of Industry Unit. Methods: This was a cross-sectional study conducted on 1270 workers. Data were collected using a digital questionnaire built on the KoBoToolbox platform that included the EUROHIS-QOL eight-item index to assess quality of life. Demographic, socioeconomic, behavioral, and clinical variables were considered explanatory. The associations were analyzed using the ordinal logistic regression model at a 5% significance level. Results: Men and women had a mean quality of life of 31.1 and 29.4, respectively. Workers that rated their health as “very good” had an odds ratio of 7.4 (95% confidence interval (CI) = 5.17–10.81), and those who rated it as “good” had an odds ratio of 2.9 (95% CI = 2.31–3.77). Both these groups of workers were more likely to have higher levels of quality of life as compared to workers with “regular”, “poor”, or “very poor” self-rated health. Physically active individuals were 30% more likely to have higher levels of quality of life (odds ratio = 1.3; 95% CI = 1.08–1.65). After adjusting the model by gender, age group, marital status, socioeconomic class, self-rated health, nutritional status, and risky alcohol consumption, the odds ratio of active individuals remained stable (odds ratio = 1.3; 95% CI = 1.05–1.66). Conclusions: In the present study, self-rated health, physical activity, and gender were associated with young workers’ quality of life.

scholarly journals Does Online Search Improve the Match Quality of New Hires?

2021 ◽  
pp. 101981
Author(s):  
Nicole Gürtzgen ◽  
Benjamin Lochner ◽  
Laura Pohlan ◽  
Gerard J. van den Berg
Keyword(s):  
Online Search ◽  
Match Quality ◽  
New Hires

scholarly journals Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality

2020 ◽  
Vol 28 (4) ◽  
pp. 445-468 ◽  
Author(s):  
Reagan Mozer ◽  
Luke Miratrix ◽  
Aaron Russell Kaufman ◽  
L. Jason Anastasopoulos
Keyword(s):  
Propensity Scores ◽  
Human Subjects ◽  
Medical Intervention ◽  
Exact Matching ◽  
Match Quality ◽  
Text Documents ◽  
Text Data ◽  
News Sources ◽  
Text Matching

Matching for causal inference is a well-studied problem, but standard methods fail when the units to match are text documents: the high-dimensional and rich nature of the data renders exact matching infeasible, causes propensity scores to produce incomparable matches, and makes assessing match quality difficult. In this paper, we characterize a framework for matching text documents that decomposes existing methods into (1) the choice of text representation and (2) the choice of distance metric. We investigate how different choices within this framework affect both the quantity and quality of matches identified through a systematic multifactor evaluation experiment using human subjects. Altogether, we evaluate over 100 unique text-matching methods along with 5 comparison methods taken from the literature. Our experimental results identify methods that generate matches with higher subjective match quality than current state-of-the-art techniques. We enhance the precision of these results by developing a predictive model to estimate the match quality of pairs of text documents as a function of our various distance scores. This model, which we find successfully mimics human judgment, also allows for approximate and unsupervised evaluation of new procedures in our context. We then employ the identified best method to illustrate the utility of text matching in two applications. First, we engage with a substantive debate in the study of media bias by using text matching to control for topic selection when comparing news articles from thirteen news sources. We then show how conditioning on text data leads to more precise causal inferences in an observational study examining the effects of a medical intervention.

scholarly journals Unemployment Fluctuations, Match Quality, and the Wage Cyclicality of New Hires

2020 ◽  
Vol 87 (4) ◽  
pp. 1876-1914 ◽  
Author(s):  
Mark Gertler ◽  
Christopher Huckfeldt ◽  
Antonella Trigari
Keyword(s):  
Job Search ◽  
Marginal Cost ◽  
Market Volatility ◽  
Match Quality ◽  
Composition Effects ◽  
Reasonable Approximation ◽  
Job Match ◽  
Wage Cyclicality ◽  
Sticky Wages ◽  
New Hires

Abstract We revisit the issue of the high cyclicality of wages of new hires. We show that after controlling for composition effects likely involving procyclical upgrading of job match quality, the wages of new hires are no more cyclical than those of existing workers. The key implication is that the sluggish behaviour of wages for existing workers is a better guide to the cyclicality of the marginal cost of labour than is the high measured cyclicality of new hires wages unadjusted for composition effects. Key to our identification is distinguishing between new hires from unemployment versus those who are job changers. We argue that to a reasonable approximation, the wages of the former provide a composition-free estimate of the wage flexibility, while the same is not true for the latter. We then develop a quantitative general equilibrium model with sticky wages via staggered contracting, on-the-job search, and heterogeneous match quality, and show that it can account for both the panel data evidence and aggregate evidence on labour market volatility.

Labour Market Challenges Amidst the COVID-19 Crisis

2021 ◽  
pp. 206-226
Author(s):  
Mohd Amirul Rafiq Abu Rahim ◽  
Diana Abdul Wahab ◽  
Rohana Jani ◽  
Nazim Aimran
Keyword(s):  
Labour Market ◽  
Youth Unemployment ◽  
School To Work ◽  
Financial Instability ◽  
Young Workers ◽  
Policy Options ◽  
Monthly Income ◽  
Skill Mismatch ◽  
Remedial Actions

The chapter discussed the reasons for the labour market vulnerability of youth and the challenges they face amidst the COVID-19 pandemic. While youth have been experiencing unsatisfactory progress in the labour market, the pandemic crisis has worsened it. Challenges in the labour market outcome include higher youth unemployment, financial instability (due to low wages and decrease in monthly income), labour market skill mismatch, low quality of jobs, and difficulties in school-to-work transitions, which threaten to widen the pre-existing challenges. This chapter also discussed remedial actions on policy options and interventions to the labour market to alleviate those challenges. The vulnerability of youths must be identified, heard, and targeted with proper measures to address the challenges that the young workers face in the current labour market.

scholarly journals Match quality of a linkage strategy based on the combined use of a statistical linkage key and the Levenshtein distance to link birth to death records in Brazil.

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Luis Carlos Guillen ◽  
Juliana Domenico ◽  
Kenneth Camargo ◽  
Rejane Pinheiro ◽  
Claudia Coeli
Keyword(s):  
Levenshtein Distance ◽  
Match Quality ◽  
Discrimination Power ◽  
Live Births ◽  
Combined Use ◽  
Small Decline ◽  
One Year ◽  
Janeiro State ◽  
F Measure

ABSTRACTObjectivesTo assess the match quality of a linkage strategy based on the combined use of a statistical linkage key and the Levenshtein distance to link birth to death records in Brazil. ApproachFirst we evaluated the discrimination power of a statistical linkage key adapted from the Australian SLK-581. The modified statistical linkage key (MSLK-781) was based on the concatenation of the 2nd, 3rd and 5th letters of the mother's family name, the 2nd and 3rd letters of the mother's given name, the 2nd and 3rd letters of the mother's middle name, the child's date of birth and sex. We calculated the proportion of records that have a unique value for the MSLK-781 within the 2013 live births (N=224,038 records) and mortality (N=132,646 records) databases for Rio de Janeiro state. We also calculated the joint unique proportion measure based on the product of these two proportions. Second we evaluated the match quality of a linkage strategy based on the combined use of the MSLK-781 and the Levenshtein distance of the mother's name to link the live births database to death records of singleton children younger than one year of age (N=1,488). To assess the match quality we calculated the sensitivity, the predictive positive value (PPV) and the F-measure. ResultsThe proportion of records that have a unique value for the MSLK-781 within the live birth and the mortality databases were, respectively, 97.5% and 98.8%, which yields a joint unique proportion of 96.1%. The match quality measures of the linkage strategy based only on the MSLK-781 were: sensitivity=83.6%; PPV=98.3%; F-measure=90.4%. Combining the agreement on the MSLK-781 with a Levenshtein distance of the mother's name of less than 4 for the record pairs classification eliminated the false-positive matches (PPV=100%) with a small decline in the sensitivity (81.7%) and the F-measure (89.9%). ConclusionUsing the MSLK-781 combined with the Levenshtein distance can be used as a first pass for linking birth to death records in Brazil without having to send pairs of records to clerical review.

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