scholarly journals A Logistic Regression Analysis to Assist Welfare Recipients Attaining Employment

2021 ◽  
pp. 75-91
Author(s):  
Jorge N. Zumaeta
Keyword(s):  
Logistic Regression ◽  
Workforce Development ◽  
Econometric Model ◽  
Welfare Recipient ◽  
Welfare Recipients ◽  
Broward County ◽  
Market Outcomes ◽  
Employment History ◽  
Number Of Children ◽  
Factors Influencing

This study reports on an experiment using logistic regression to uncover the preponderant factors influencing the likelihood of attaining employment by a welfare recipient in Broward County, Florida. Our study considers whether profiling the participants and tailoring the workforce development services based on their respective profiles can increase their likelihood of finding employment (Black et al., 2003). The study finds that our econometric model predicted the probability of employment with reasonably strong reliability. This finding is in alignment with the Welfare Profiling Model of Michigan’s (Barnow et al., 2012; Eberts, 1997;2002) and the Factors Influencing AFDC Duration and Labor Market Outcomes Research Study of Texas (Schexnayder et al., 1991). More specifically, the results indicate that education and prior employment history are significant factors increasing the likelihood of departing from welfare and achieving employment. Furthermore, the study concludes that the number of children, participant’s age, and the ethnicity of the welfare recipient also play a role in breaking away from welfare. The results from the experiment show that using the econometric model to assign services to individuals increases the likelihood of finding employment from 11% to 24% on average. This is a very encouraging finding since it motivates researchers to perform further research in this area of study.

scholarly journals Use of Logistic Regression to Identify Factors Influencing the Post-Incident State of Occupational Injuries in Agribusiness Operations

2019 ◽  
Vol 9 (17) ◽  
pp. 3449 ◽  
Author(s):  
Fatemeh Davoudi Kakhki ◽  
Steven A. Freeman ◽  
Gretchen A. Mosher
Keyword(s):  
Logistic Regression ◽  
Occupational Injury ◽  
Occupational Injuries ◽  
Workplace Safety ◽  
The United States ◽  
Body Parts ◽  
Market Outcomes ◽  
Factors Influencing ◽  
Returns To Work ◽  
Reducing Costs

Agribusiness industries are among the most hazardous workplaces for non-fatal occupational injuries. The term “post-incident state” is used to describe the health status of an injured person when a non-fatal occupational injury has occurred, in the post-incident period when the worker returns to work, either immediately with zero days away from work (medical state) or after a disability period (disability state). An analysis of nearly 14,000 occupational incidents in agribusiness operations allowed for the classification of the post-incident state as medical or disability (77% and 23% of the cases, respectively). Due to substantial impacts of occupational incidents on labor-market outcomes, identifying factors that influence the severity of such incidents plays a significant role in improving workplace safety, protecting workers, and reducing costs of the post-incident state of an injury. In addition, the average costs of a disability state are significantly higher than those of a medical state. Therefore, this study aimed to identify the contributory factors to such post-incident states with logistic regression using information from workers’ compensation claims recorded between 2008 and 2016 in the Midwest region of the United States. The logistic regression equation was derived to calculate the odds of disability post-incident state. Results indicated that factors influencing the post-incident state included the injured body parts, injury nature, and worker’s age, experience, and occupation, as well as the industry, and were statistically significant predictors of post-incident states. Specific incidents predicting disability outcomes included being caught in/between/under, fall/slip/trip injury, and strain/injury by. The methodology and estimation results provide insightful understanding of the factors influencing medical/disability injuries, in addition to beneficial references for developing effective countermeasures for prevention of occupational incidents.

Still focusing on the “essential 2:1”: exploring student attitudes to extra-curricular activities

2015 ◽  
Vol 57 (2) ◽  
pp. 184-203 ◽  
Author(s):  
Paul Greenbank
Keyword(s):  
Labour Market ◽  
Student Attitudes ◽  
Student Participation ◽  
Small Sample ◽  
Peer Norms ◽  
Market Outcomes ◽  
Content Type ◽  
Factors Influencing ◽  
Extra Curricular Activities ◽  
Degree Classification

Purpose – In order to compete for positional advantage in the graduate labour market students need more than a good degree classification. The evidence suggests that participation in extra-curricular activities (ECAs) can have a significant influence on labour market outcomes. The purpose of this paper is to examine the extent to which undergraduates engage in ECAs during their studies and analyses the factors influencing their participation in such activities. Design/methodology/approach – This study is based on a sample of 21 undergraduates in the Business School at a “new” university. These students completed two questionnaires in their first year of study. These were followed-up by in-depth interviews which were carried out in their first and final year of study. Findings – The study found that many of these students were not participating in ECAs because they lacked an appreciation of the value of ECAs to graduate employers. The students were also influenced by social and peer norms, especially the fact that their peers were not engaging in ECAs. Finally, the students often exhibited an extrinsic locus of control and dependency which was not conducive to engagement in ECAs. Research limitations/implications – The generalisability of the findings may be seen as limited by the fact that the study is based on a relatively small sample of students from one university. This research, however, provides detailed insights into the factors influencing student participation in ECAs and adds new perspectives to this under-researched area. Practical implications – The paper concludes by suggesting a range of inter-related approaches that higher education institutions could adopt in order to improve student participation in ECAs. These include careers education at all stages of the students’ studies; the use of unfreezing techniques in conjunction with case studies; a more substantial role for personal tutors; and the development of an institutional habitus that encourages autonomy and agency. Originality/value – Despite the importance of ECAs to graduate employers there have been relatively few studies into the factors influencing undergraduate participation in such activities.

The alternative negative constructions in spoken and written Korean: Logistic regression analysis

2019 ◽  
Vol 15 (2) ◽  
pp. 419-442
Author(s):  
Beom-mo Kang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Mixed Effects ◽  
Written Language ◽  
Regression Analyses ◽  
Relevant Factor ◽  
Factors Influencing ◽  
Frequency Of Use ◽  
Relevant Factors

AbstractAdopting quantitative corpus-based methods, this paper focuses on the alternative negative constructions in Korean, [anV] and [Vanhda]. Logistic regression analyses for a mixed-effects model were carried out on data drawn from the Sejong Korean Corpus. Certain features of the verb or adjective in negative constructions significantly affect the use of the two negative constructions. A relevant factor is register/medium (spoken or written), among other significant interactions of factors. Furthermore, the fact that frequency is consistent with other relevant factors, together with certain diachronic facts of Korean, supports the claim that frequency of use plays an important role in linguistic changes. Another finding is that, notwithstanding noticeable differences between spoken and written language, the factors influencing the use of the two negative constructions in Korean are largely similar in the spoken and written registers.

Factors Influencing China’s Exports with a Spatial Econometric Model

2015 ◽  
Vol 29 (3) ◽  
pp. 191-211 ◽  
Author(s):  
Kuang-Hann Chou ◽  
Chien-Hsun Chen ◽  
Chao-Cheng Mai
Keyword(s):  
Econometric Model ◽  
Spatial Econometric ◽  
Factors Influencing ◽  
Spatial Econometric Model

Factors Influencing Passenger Choice in a Multiple Airport System

2021 ◽  
pp. 1423-1436
Author(s):  
Jing Yu Pan ◽  
Dothang Truong
Keyword(s):  
Logistic Regression ◽  
Significant Determinant ◽  
Beijing Area ◽  
Factors Influencing ◽  
Flight Delay ◽  
Passenger Choice

The purpose of this article is to examine factors that influence passengers' decision in selecting an airport in a multiple airport system (MAS). This article focuses on a MAS in China consisting of two airports that directly compete with each other in serving domestic and international passengers in the same area. A survey was conducted in the Beijing area to collect the data, and a logistic regression was used to test the effects of these factors on the passenger choice. The results indicate that airfare is the most significant determinant of Beijing passengers' airport choice, followed by flight delay.

Factors Influencing Passenger Choice in a Multiple Airport System

2017 ◽  
Vol 4 (1) ◽  
pp. 1-14
Author(s):  
Jing Yu Pan ◽  
Dothang Truong
Keyword(s):  
Logistic Regression ◽  
Significant Determinant ◽  
Beijing Area ◽  
Factors Influencing ◽  
Flight Delay ◽  
Passenger Choice

The purpose of this article is to examine factors that influence passengers' decision in selecting an airport in a multiple airport system (MAS). This article focuses on a MAS in China consisting of two airports that directly compete with each other in serving domestic and international passengers in the same area. A survey was conducted in the Beijing area to collect the data, and a logistic regression was used to test the effects of these factors on the passenger choice. The results indicate that airfare is the most significant determinant of Beijing passengers' airport choice, followed by flight delay.

Sleep Disturbance in Older Adults With or Without Mild Cognitive Impairment and Its Associated Factors Residing in Rural Area, China

2020 ◽  
pp. 089198872096424
Author(s):  
Li Qin Xie ◽  
Bing Xiang Yang ◽  
Yang Hui Liao ◽  
Gui Xian Gao ◽  
Na Jiang ◽  
...  
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Cognitive Impairment ◽  
Sleep Disturbance ◽  
Rural Areas ◽  
Associated Factors ◽  
Multiple Logistic Regression ◽  
Affect Balance ◽  
Drinking Habits ◽  
Factors Influencing

Aims: To evaluate the prevalence of sleep disturbance in older adults with or without mild cognitive impairment (MCI) and associated factors among residents in rural central China. Methods: A cross-sectional survey was conducted in adults in rural areas of the Hunan province aged≥60 years. Study participants (N = 1213) included 479 individuals meeting the criteria for MCI and 734 with normal cognitive abilities. The participants completed the Athens Insomnia Scale, Stress Resilience Quotient Scale, Affect Balance Scale and Activities of Daily Living (ADL) Scale. Chi-square test, Wilcoxon rank sum analyses and multiple logistic regression were used in this study. Results: A total of 60.33% of participants with MCI demonstrated sleep disturbance (60.33%, 95% CI: 0.559-0.649), which was significantly higher than in the non-MCI group (43.73%, 95% CI: 0.759-0.838). Multiple logistic regression conducted separately in the populations of older adults with or without MCI showed that age, drinking habits, affect balance and activities of daily life were correlates of self-reported sleep disturbance in rural older adults with MCI ( B = −5.469), whereas age, ADL, living arrangement and resilience were the main influencing factors in older adults without MCI ( B = 2.991). Conclusion: Sleep disturbance is more common in older adults with MCI than without MCI in rural areas of China. The factors influencing sleep disturbances vary between older adults with or without MCI, with age and ADL representing common factors influencing sleep disturbance in both groups. Interventions focusing on the age, drinking habits, affect balance and ADL may improve sleep quality in MCI older adults.

Sign in / Sign up

Export Citation Format

Share Document