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ANALYSIS OF FACTORS AFFECTING THE WAITING PERIOD OF EDUCATED WORKERS

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Abstract
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Educated unemployed are the population of the labor force who do not yet have a job but have completed the upper secondary level of education. Currently the level of education is no longer a reference to get a job quickly, there are many other factors that can affect the time to get a job. This study aims to analyze the effect of education level, age, gender and training experience on the waiting period of educated workers in Denpasar City. This study used data sourced from the August 2022 Denpasar City Sakernas questionnaire and involved 895 communities as samples. The data were analyzed using SPSS based on multiple linear regression techniques. The results showed that university graduates had a shorter waiting period than high school graduates, age positively affected the waiting period, gender did not affect the waiting period, respondents who had training experience had a shorter waiting period than those who did not have training experience. Based on the results of the study, it is expected that the local government will be able to balance the harmony between education and labor demand, open more jobs, and increase human resources.

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Mexican-American Ethnicity and Cognitive Function: Findings from an Elderly Southwestern Sample
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Relatively little is known about late-life patterns of cognitive function among Hispanics of Mexican heritage who reside in the United States. The authors designed a study to assess the association between Mexican-American ethnicity (defined in terms of childhood and adolescent developmental history) and cognitive function among elderly Mexican-American and non-Hispanic white residents of El Paso County, Texas. Our findings indicate significant associations between the degree of Mexican-American ethnicity and cognitive impairment on all three measures of cognitive function. These statistically significant findings remain after effects of education, age, and gender have been removed from the multiple regression equation. The authors conclude that a dependable and clinically meaningful negative association exists between Mexican-American ethnicity and late-life cognitive function in this region that is mediated by as yet unmeasured variables.

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The Impact of Education Level and Gender on Job Search Duration in Turkey
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  • Educational Sciences: Theory & Practice
  • Elçin Aykaç + 2 more

This study examines the effects of changes in unemployment rates on job search duration based on education level and gender in Turkey. Using monthly data obtained from the Turkish Statistical Institute for the period January 2005 through February 2013, we investigated the relationship between job search behavior and unemployment among participants with different education levels and genders. Results show that, in general, unemployment rate negatively affected the university graduates' probability of finding a job, though male university graduates' probability of finding a job was affected positively from their unemployment rate. High school graduates were affected positively from an increase in the overall unemployment rate, and when females and males were examined separately, the unemployment rate of the each group showed positive effects. Considering that vocational high school graduates obtain the same degree as traditional high school graduates but are taught required skills for specific jobs, our findings differed for this group compared with traditional high school graduates showing similarities with the results for university graduates. For the illiterate group, unemployment rate was positively related to job-seeking behavior; therefore, unskilled workers found jobs easily during high unemployment periods.Keywords: Job search * Job search duration * Unemployment * Education * Vector Error Correction ModelThere are two fundamental components that determine the reservation wage and the optimum point to conduct a job search: The education level of the job seeker (i.e., the main element of the reservation wage determination) and the market's current unemployment rate. Another important element is the behavioral differences between males and females. In this context, Ashenfelter and Ham (1979), Nickell (1979), Kiefer (1985), and Kettunen (1997) examined the relationship between education and unemployment, while Durand (1975), Pampel and Tanaka (1986), Psacharopoulos and Tzannatos (1989), Schultz (1990), Tansel (2001), and Bildirici, Aykac, Ozaksoy, and Akgul (2012) emphasized the differences of job search behavior, unemployment rate, and reservation wage determination between males and females, particularly during economic crisis periods.A limited number of previous studies have examined this issue specifically within Turkey. Dayioglu and Kasnakoglu (1997), Tunali (1997), Ozar and Senesen (1998), and Dayioglu (2000) evaluated the education level and labor force participation in Turkey, while Tasci and Darici (2009) and Kumas and Caglar (2011) examined the unemployment rate according to the gender gap. Previous research on the topic is limited due to the absence of reliable data on wages, a problem that still exists and causes issues during econometric analysis processes.The relationship between job search behavior and education and unemployment rate has drawn attention in both job search theory and human capital theory.In human capital theory, chosen education level maximizes the utility and income for a person's life. Early empirical research on the subject was conducted by De Wolff and van Slijpe (1973), Willis and Rosen (1979), Garen (1984), and Oosterbeek (1990). Determination of the optimum education level is a crucial issue, as Spence (1973), Hartog (1981; 1986), Duncan and Hoffmen (1981), Tsang and Levin (1985), Rumberger (1981), and Hartog and Oosterbeek (1988) showed that choosing an education level above the optimum point can cause complications in the long run.In job search models, it is assumed that the higher the level of education, the larger the increase in job opportunities. Since job-offer details proposed to individuals differ for the same job, they build up a job description for each individual. Furthermore, it is assumed that as a result of the increase in job opportunities by schooling year, employment offers that fall short of the education level can be accepted, but the ones that exceed it cannot be accepted or proposed. …

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Relationship between hemodialysis patients' educational level and arteriovenous fistula patency.
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  • Cite Count Icon 14
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Wages of College Graduates
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The wage earned by college graduates over that earned by high school graduates is often described as perhaps the major incentive to get a college education. Although wages of college and high school graduates vary widely, when using large nationally based surveys to compare people who finished school at the same time, we find on average college graduates earn more than high school graduates. There are, of course, many exceptions where individual high school graduates earn more than college graduates, but, as a rough approximation, it has been true for men that the college wage premium averages 50 percent of the high school graduate wage.1The premium typically increases over the career so that when we restrict calculations to recent graduates, we find smaller college—high school graduate differentials than those found when we compare men at midcareer. The premium also varies through time.

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  • Cite Count Icon 26
  • 10.1001/jamanetworkopen.2019.19393
Association of Educational Attainment and Race/Ethnicity With Exposure to Tobacco Advertisement Among US Young Adults
  • Jan 17, 2020
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  • Cite Count Icon 224
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Wage Premiums for College Graduates
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  • Educational Researcher
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Against a general trend over the last 25 years of increasing wage differentials between college and high school graduates, two departures are noteworthy. Between 1971 and 1979, the college wage premium fell by about a third for young graduates and somewhat less for older workers. To some, this narrowing wage differential marked the end of an era when investments in college yielded returns comparable to other investments. In retrospect, the decline in the 1970s was a temporary phenomenon caused by a rapid increase in numbers of college graduates and the baby boom cohorts' entry into the job market. Then, between 1979 and 1986, the college wage premium rose very sharply, exceeding anything found in earlier data. After documenting changes in the college wage premium between 1963 and 1986, we explore dimensions of the recent increase by age, race, and sex, as well as the wage differentials between high school dropouts and graduates and between college dropouts and graduates. Although alternative explanations of earlier departures from the general trend can be found, the sole explanation for the recent dramatic rise in the premium is that the demand for college-trained workers has increased hugely.

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한국 물류산업의 학력별 노동수요 결정요인 분석
  • Jun 30, 2021
  • Journal of Human Resource Management Research
  • Jong Seong Lee + 2 more

When economic growth is advanced, the industrial structure generally changes from manufacturing industry to service industry. Looking at the labor market of each industry in Korea, this phenomenon is clearly evident. In particular, the importance of the logistics industry is highlighted in the Korean industry, which is highly dependent on trade. Statistics confirm that the educational wage discrepancy exists and is deepening in the labor market of the logistics industry. This means that the labour market in this industry has been divided according to educational background. By applying human capital theory, high school graduates or lower were divided into low-educated labor without human capital, and college graduates or higher into high-educated labor with embodied human capital. Under this premise, the three factors (capital, low-educated, high-educated labor) Cobb-Douglas production function was postulated and the analysis on labor demand determinants by educational background, was carried out including output, globalization and neutral technical progress. As a result, the relative prices of production factors did not affect the demand of low-educated labor and high-educated labor in the logistics industry. On the other hand, exogenous changes in the logistics industry, such as output, globalization and technical progress, have a significant impact on the labor market by academic background of the logistics industry. In other words, demand of low-educated labor affects changes more flexibly than demand of high-educated labor. Globalization leads to the increase in demand of high-educated labor, while technical progress leads to the decrease in demand of low-educated labor and the increase in demand of high-educated labor. Based on these estimates, the following policies can be suggested: First, employment stabilization policies for low-educated labor are needed because demand of low-educated labor is more severe due to economic fluctuations. Second, technical advances increase total production by improving productivity, but labor policies are needed in preparation for this because unemployment can occur due to a decrease in low-educational labor demand. Third, globalization causes an increase in demand of high-educated labor, so a human resources training policy necessary for the logistics industry is needed.

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  • Cite Count Icon 12
  • 10.1002/ajim.4700250205
Assessment of personality traits and psychiatric symptoms in workers in a computer manufacturing plant in Japan.
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To investigate personality traits and psychiatric symptoms, we administered the Structured Clinical Interview for DSM-III-R Personality Questionnaire (SCID-II Screen), the Zung Self-Rating Depression Scale (SDS), and the 30-item version of the General Health Questionnaire (GHQ-30) to 781 male computer engineers and 214 male clerical workers in a computer manufacturing factory. Subjects, aged from 20 to 49 years, were divided into university and high school graduates. Among the university graduates, scores for schizotypal and avoidant personality traits were significantly higher in computer engineers than in clerical workers (the effect of age was controlled by analysis of covariance). No significant correlation between personality traits and years employed was found in the university-graduate computer engineers. In high school graduates, scores for borderline and dependent personality traits were significantly lower in computer engineers than in clerical workers (the effect of age was controlled by analysis of covariance). Because of the lack of significant association of personality traits and symptoms with duration of employment in the university-educated computer engineers, the greater prevalence of schizotypal and avoidant personality traits might be related to their process of self-selection of job rather than to computer manufacturing work. In summary, these data suggest that computer engineering work does not cause abnormal personality traits or psychiatric symptoms.

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  • 10.1039/c004191b
Control of matrix interferences by multiple linear regression models in the determination of arsenic and lead concentrations in fly ashes by inductively coupled plasma optical emission spectrometry
  • Jan 1, 2010
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  • Aki Ilander + 1 more

A multiple linear regression technique was used to evaluate and correct the matrix interferences in the determination of As and Pb concentrations in fly ashes by inductively coupled plasma optical emission spectrometry. The direct determination of As and Pb in SRM 1633b by ICP-OES failed to obtain the certified concentrations, except in a couple of cases. However, it proved possible to use the multiple linear regression (MLR) technique to correct the determined concentrations to a satisfactory level. This method of correction is based on the multiple regression line obtained from the analysis of 19 synthetic mixtures of matrix and analyte elements (Al, As, Ca, Fe, Pb, and Si) at five concentration levels. The matrix interferences in the determination of As were caused by Al, Pb, and Ca whereas the matrix interferences in the determination of Pb were caused by Al and Fe. The most suitable parameters for the determination of As and Pb were a plasma power of 1500 W and a nebulizer flow of 0.5 or 0.6 L min−1. The accuracy of the method was shown with the analysis of SRM 1633b and two fly ash samples with the standard addition method. A recovery rate of 96% can be reached for Pb at 220.353 nm with three digestion methods (US-TSD, US1 and MW) by using both direct measurement with thoroughly optimized plasma conditions and the MLR method. A recovery rate of 93% was obtained for As when using the MLR method at 193.696 nm with the digestion method US2, a plasma power of 1500 W, and nebulizer flow of 0.6 L min−1. The corrected and determined concentrations of As and Pb in samples analyzed resulted in a precision of 0.6 to 3.9%.

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Monitoring of nonlinear respiratory elastance using a multiple linear regression analysis
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Identification of Implicit Subject Categories Responsible for Academic Test Scores Using Multiple Linear Regression
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  • Tiyyagura Jyothsna + 1 more

In this work, multiple linear regression technique is employed to study the implicit relation between fundamental categories of a academic topic to the performance of the student. Such a problem is important in the development of personalised learning system. Initially a matrix representation of test questions with its fundamental categories is discussed. Subsequently the responses of the test questions are related to the fundamental categories using a system of linear equations. Multiple Linear Regression (MLR) technique is employed to study the effect of each fundamental categories on the test scores. A synthesised data-set of known probability distributions is used during evaluations. It has been found that the MLR using F-Statistics can identify the complexity of fundamental categories and useful for recommending questions in a personalised learning system.KeywordsMultiple linear regressionPersonalised learning systemF-statistic

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