The Impact of Community College Retraining on Older Displaced Workers: Should We Teach Old Dogs New Tricks?

ILR Review ◽  
2005 ◽  
Vol 58 (3) ◽  
pp. 398-415 ◽  
Author(s):  
Louis Jacobson ◽  
Robert J. Lalonde ◽  
Daniel Sullivan
Keyword(s):  
Community College ◽  
Age Groups ◽  
Displaced Workers ◽  
Work Lives ◽  
Quarterly Earnings ◽  
Administrative Records ◽  
Younger Workers ◽  
The Social ◽  
The Impact ◽  
Academic Year

The authors estimate the returns to retraining for older displaced workers—those 35 or older—by estimating the impact of community college schooling on earnings. The analysis relies on longitudinal administrative records covering workers displaced from jobs in Washington State during the early 1990s. The authors find that older displaced workers participated in community college schooling at lower rates than younger workers. Among those who participated, however, the impact on quarterly earnings was similar across the two age groups. One academic year of community college schooling is estimated to have increased long-term earnings by about 7% for older men and by about 10% for older women. Although these percentages are consistent with those reported in the schooling literature, estimates of the social internal rates of return from this retraining may differ substantially among older and younger workers because of differences in their work lives and their opportunity costs of retraining.

scholarly journals Impact of Quality on Customers’ Buying Behaviour towards Point of Purchase Display with reference to Haryana

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Sukhija Sunita ◽  
Sukhija Sunita
Keyword(s):  
Age Groups ◽  
Retail Industry ◽  
The Social ◽  
Point Of Purchase ◽  
Retail Outlets ◽  
And Gender ◽  
Buying Behaviour ◽  
Gender Groups ◽  
The Impact ◽  
One Way Anova

The present paper focuses on the impact of quality on customers’ buying behaviour towards point-of-purchase display at various retail outlets in Haryana. Point-of-Purchase Display plays an important role to increase the sale of the retailers. Today customers are rational and prefer quality products at reasonable price. Moreover, due to the emergence of the supermarkets as the dominant retail, the retail industry is experiencing vibrant changes all over the world. Retail industry in India has grown to be more complex and dynamic with an increase rate of speed from unorganized towards being organized. In this research paper data has been collected from 100 respondents and analysed with the help of Statistical Package for the Social Sciences (SPSS) using one way ANOVA and t-test with demographic factors i.e. age-wise, gender-wise, occupation-wise and income-wise. . After analysing the data it was found that, there is neutral relationship in the opinion of different age groups and gender groups over the point-of-purchase display on quality. On the other hand Occupation and income does not have any importance on customers view point regarding ‘quality’. To conclude we can say that point-of-purchase display is not directly related to the quality.

HuDA_COVID Human Disposition Analysis during COVID-19 using Machine Learning

2022 ◽  
Vol 13 (2) ◽  
pp. 0-0
Keyword(s):  
Machine Learning ◽  
Health Status ◽  
Human Life ◽  
Age Groups ◽  
Psychological Needs ◽  
Mass Survey ◽  
Negative Effects ◽  
Methodical Approach ◽  
The Social ◽  
The Impact

Coronavirus has greatly impacted various aspects of human life, including human psychology & human disposition. In this paper, we attempted to analyze the impact of the COVID-19 pandemic on human health. We propose Human Disposition Analysis during COVID-19 using machine learning (HuDA_COVID), where factors such as age, employment, addiction, stress level are studied for human disposition analysis. A mass survey is conducted on individuals of various age groups, regions & professions, and the methodology achieved varied accuracy ranges of 87.5% to 98%. The study shows people are worried about lockdown, work & relationships. Furthermore, 23% of the respondents have not had any effect. 45% and 32% have had positive and negative effects, respectively. It is a novel study in human disposition analysis in COVID-19 where a novel weighted assignment indicating the health status is also proposed. HuDA_COVID clearly indicates a need for a methodical approach towards the human psychological needs to help the social organizations formulating holistic interventions for affected individuals.

scholarly journals Enlisting Employees in Improving Payroll Tax Compliance: Evidence from Mexico

2020 ◽  
Vol 102 (5) ◽  
pp. 881-896
Author(s):  
Todd Kumler ◽  
Eric Verhoogen ◽  
Judith Frías
Keyword(s):  
Pension Reform ◽  
Age Groups ◽  
Tax Compliance ◽  
Household Survey ◽  
Payroll Tax ◽  
Younger Workers ◽  
Younger Age ◽  
The Social ◽  
Relative Decline ◽  
Pension Benefits

Comparing two sources of wage data in Mexico—firms' reports to the social security agency and individuals' responses to a household survey—we document extensive underreporting of wages by formal firms, with compliance better in larger firms. We also present evidence that the 1997 Mexican pension reform, which tied pension benefits more closely to reported wages for younger workers, led to a relative decline in underreporting for younger age groups. The results suggest that giving employees incentives and information to improve the accuracy of employer reports can be an effective way to improve payroll tax compliance.

scholarly journals CHANGES IN THE POPULATION STRUCTURE OF SLATINA CITY BETWEEN YEARS 1990-2000

2021 ◽  
Vol 23 (1) ◽  
pp. 47-57
Author(s):  
Florentina MANOLEA CÎRJAN ◽  
Keyword(s):  
National Level ◽  
Age Groups ◽  
Social Transformations ◽  
Active Population ◽  
The Social ◽  
Economic Transformations ◽  
Geographical Study ◽  
Economic Profile ◽  
Travel Abroad ◽  
The Impact

The article is a contribution to the geographical study of the Slatina city in order to elucidate the impact of the economic and social transformations of 1990 – 2002 interval had on the evolution of its demographic phenomena, but also on understanding its socio-economic profile. The research methodology consisted of a comparative analysis of the numerical values provided by the Olt Regional Directorate of Statistics. The measured parameters were: the numerical evolution and its causes, the structure by sexes and age groups, the structure of the active population, the ethnic structure, and according to the practiced religion. The results of the analysis show an evolution developed on the background of the existing one at national level, having as causes: a tendency of numerical decrease determined by the decrease in the birth rate, the opening of European borders, simultaneously with a decline of the national economy, rising unemployment and travel abroad for searching of a job. The article highlights two important conclusions: the economic transformations show the existing reality in the social and economic field, their impact on the socio-economic profile of the Slatina city; the same transformations have taken place at the national level, on the background of the same causes.

scholarly journals Formal and Informal Russian Invitation: Context and Politeness Strategies

2019 ◽  
Vol 23 (4) ◽  
pp. 994-1013
Author(s):  
Gayane Rubenovna Vlasyan ◽  
Irina Vladimirovna Kozhukhova
Keyword(s):  
Discourse Analysis ◽  
Speech Acts ◽  
Cultural Context ◽  
Speech Act ◽  
Age Groups ◽  
Social Contexts ◽  
Politeness Theory ◽  
The Social ◽  
Politeness Strategies ◽  
The Impact

Invitation is a speech act which is perceived differently across cultures. Understanding the pragmatics of invitation requires knowledge of the notion of politeness and politeness strategies which comprise culture specific elements. Politeness is realized in various discourses, social contexts and speech acts. The purpose of the study is to identify politeness strategies in Russian invitation in formal and informal contexts in three age groups and see how they correspond to the understanding of politeness in Russian communicative culture. The empirical data for the study were obtained through discourse completion tests with 101 participants (issuers of the invitation) of different age and social status as well as through ethnographic observation. The research is based on Discourse Analysis and Politeness Theory (Brown & Levinson 1987; Larina2009, 2015; Locher 2006, 2013; Leech 2014; Mills 2003, 2017; Sifianou 1992; Terkourafi &Kadar 2017; Watts 2003, among others). We used discourse analysis to analyze the impact of the social and cultural context on the performance of invitation, the descriptive method which was used to analyze the pragmatic functions of invitation, as well as contextual interpretation of this speech act and the method of quantitative data processing. The study revealed some differences between a formal and informal invitation concerning politeness strategies and linguistic means of its expression. It also showed that in Russian culture issuing an invitation is not perceived as a face threatening speech act; in the analysed social contexts the preference is given to direct invitation, and the inviter’s imposition, as a rule, is perceived positively. The results contribute to a better understanding of Russian politeness and communicative style and can be implemented in intercultural pragmatics, intercultural communication and SL teaching.

scholarly journals HuDA_COVID Human Disposition Analysis During COVID-19 Using Machine Learning

2022 ◽  
Vol 13 (2) ◽  
pp. 1-15
Author(s):  
Charu Gupta ◽  
Dev Gaur ◽  
Prateek Agrawal ◽  
Deepali Virmani
Keyword(s):  
Machine Learning ◽  
Health Status ◽  
Human Life ◽  
Age Groups ◽  
Psychological Needs ◽  
Mass Survey ◽  
Negative Effects ◽  
Methodical Approach ◽  
The Social ◽  
The Impact

Coronavirus has greatly impacted various aspects of human life, including human psychology & human disposition. In this paper, we attempted to analyze the impact of the COVID-19 pandemic on human health. We propose Human Disposition Analysis during COVID-19 using machine learning (HuDA_COVID), where factors such as age, employment, addiction, stress level are studied for human disposition analysis. A mass survey is conducted on individuals of various age groups, regions & professions, and the methodology achieved varied accuracy ranges of 87.5% to 98%. The study shows people are worried about lockdown, work & relationships. Furthermore, 23% of the respondents have not had any effect. 45% and 32% have had positive and negative effects, respectively. It is a novel study in human disposition analysis in COVID-19 where a novel weighted assignment indicating the health status is also proposed. HuDA_COVID clearly indicates a need for a methodical approach towards the human psychological needs to help the social organizations formulating holistic interventions for affected individuals.

scholarly journals Modelling the dispersion of SARS-CoV-2 on a dynamic network graph

2020 ◽  
Author(s):  
Patrick Bryant ◽  
Arne Elofsson
Keyword(s):  
Social Network ◽  
Network Structure ◽  
Preferential Attachment ◽  
Age Groups ◽  
Dynamic Network ◽  
Social Contacts ◽  
Social Network Structure ◽  
The Social ◽  
Epidemic Development ◽  
The Impact

AbstractBackgroundWhen modelling the dispersion of an epidemic using R0, one only considers the average number of individuals each infected individual will infect. However, we know from extensive studies of social networks that there is significant variation in the number of connections and thus social contacts each individual has. Individuals with more social contacts are more likely to attract and spread infection. These individuals are likely the drivers of the epidemic, so-called superspreaders. When many superspreaders are immune, it becomes more difficult for the disease to spread, as the connectedness of the social network dramatically decreases. If one assumes all individuals being equally connected and thus as likely to spread disease as in a SIR model, this is not true.MethodsTo account for the impact of social network structure on epidemic development, we model the dispersion of SARS-CoV-2 on a dynamic preferential attachment graph which changes appearance proportional to observed mobility changes. We sample a serial interval distribution that determines the probability of dispersion for all infected nodes each day. We model the dispersion in different age groups using age-specific infection fatality rates. We vary the infection probabilities in different age groups and analyse the outcome.ResultsThe impact of movement on network dynamics plays a crucial role in the spread of infections. We find that higher movement results in higher spread due to an increased probability of new connections being made within a social network. We show that saturation in the dispersion can be reached much earlier on a preferential attachment graph compared to spread on a random graph, which is more similar to estimations using R0.ConclusionsWe provide a novel method for modelling epidemics by using a dynamic network structure related to observed mobility changes. The social network structure plays a crucial role in epidemic development, something that is often overlooked.

scholarly journals The Social Utility and Health Benefits for Older Adults of Amenity Buildings in China’s Urban Parks: A Nanjing Case Study

2020 ◽  
Vol 17 (20) ◽  
pp. 7497
Author(s):  
Binyu Liu ◽  
Ye Chen ◽  
Meng Xiao
Keyword(s):  
Older Adults ◽  
Social Interactions ◽  
Public Space ◽  
Health Benefits ◽  
Age Groups ◽  
Urban Parks ◽  
Social Utility ◽  
Social Activities ◽  
The Social ◽  
The Impact

As China’s population rapidly ages, research and discussion on how to better optimize public spaces for the elderly’s health and benefit continue to deepen. This study uses observational surveys and questionnaires to investigate the elderly visitors of Nanjing’s urban parks and explore the impact the parks’ amenity buildings (structures built to provide visitors with conveniences, e.g., shelters and pavilions) has on their health and associated socialization tendencies. Data were collected from ten amenity buildings in ten separate parks to compose a total dataset of 728 activity statistics and 270 valid questionnaires. The study’s results indicate that amenity buildings significantly increase opportunities for older adults to socialize and thereby can increase this demographic’s associated health benefits. The social activities formed around amenity buildings are found to improve social interactions and connectedness among older adults more compared to other age groups. Elderly participation in social activities is also found to positively correlate with environmental characteristics. High-quality landscapes ensure healthy development of social activities within amenity buildings and promote the occurrence and continuation of social interactions. In order of highest to lowest impact on elderly activities, the following factors were identified and scored: amenity building scale, lighting, comprehensive surrounding environment, surrounding amenities, water features, and vegetation. This research also reveals that among existing amenity buildings, there is insufficient support for certain activities and therefore, parks need to be improved to address this deficiency. Overall, this study indicates that under China’s current aging trends, amenity buildings have become an especially important infrastructure within urban public space, and their design trend is to incorporate the dual characteristics of “recreation + society”.

Life course analysis on income and incident AMI: a Danish register-based cohort study

2019 ◽  
Vol 73 (9) ◽  
pp. 810-816 ◽  
Author(s):  
Margit Kriegbaum ◽  
Charlotte Ørsted Hougaard ◽  
Ingelise Andersen ◽  
Henrik Brønnum-Hansen ◽  
Rikke Lund
Keyword(s):  
Life Course ◽  
Early Adulthood ◽  
Age Groups ◽  
Adult Life ◽  
Social Gradient ◽  
Relative Level ◽  
Gender And Age ◽  
The Social ◽  
The Life Course ◽  
The Impact

BackgroundSocial inequality in ischaemic heart disease has been related to socioeconomic position in childhood, early adulthood and late adulthood. However, the impact of relative level of accumulated income periods across adult life course and the potential gender and age differences have not been investigated. The aim was to investigate the association between relative level of accumulated income across the life course and acute myocardial infarction (AMI) from age 60+ years and to study if the associations differ by gender and in different age groups (30–39 years, 40–49 years and 50–59 years).MethodsAll Danes born 1935–1954 (N=1 235 139) were followed up in registers for incident AMI (42 669 cases). The accumulated proportional deviation from median equivalised income (APDMEI) for each gender/age/calendar year strata was constructed and divided in quartiles. The associations were analysed by means of Cox’s proportional hazard models.ResultsAmong men, those in the lowest APDMEI quartile had an HR 1.40 (1.35–1.45) of AMI compared with the highest quartile. Those in the second and third highest quartiles had HR of 1.24 (1.20–1.28) and 1.14 (1.10–1.18), respectively. Among women, the lowest quartile had an HR of 1.78 (1.69–1.88), the second 1.45 (1.37–1.53) and the third 1.19 (1.13–1.26). The social gradient was similar across the different age groups.ConclusionThe risk of AMI increased with lower levels of relative accumulated income across the life course. While men generally had a higher risk of AMI, the social gradient was steeper in women. There was no indication of a specific sensitive age period for exposure to relative level of accumulated income.

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