Duration of Unemployment

2022 ◽  
pp. 95-97
Author(s):  
J. Henry Richardson
1978 ◽  
Vol 10 (7) ◽  
pp. 853-866 ◽  
Author(s):  
G Hyman ◽  
D J Palmer

This paper presents the results of a time-series analysis of short-term changes in the conditions prevailing in regional labour markets. A set of alternative indicators of changes in these conditions are evaluated for each of the standard regions by use of quarterly data for a period that includes the rapid changes in the economy associated with the ‘Barber Boom’. Leading indicators of changes in labour demand are contrasted with lagging indicators and the findings for different regions compared. The results of the analysis show that in general the numbers of vacant jobs and the rates at which the jobs are being filled provide leading indicators of changes in the region's level of unemployment and of changes in the duration of unemployment in the region, and that there is no feedback from unemployment to change the demand for labour in the region. In consequence it would be justified to claim that changes in regional unemployment and its duration are caused by changes in the demand for labour in the region.


2003 ◽  
Vol 27 (2) ◽  
pp. 134-144 ◽  
Author(s):  
Katja Kokko ◽  
Lars R. Bergman ◽  
Lea Pulkkinen

The main aim of the present study was to test a model of selection into long-term unemployment obtained for a sample of 36-year-old Finns (Kokko, Pulkkinen, & Puustinen, 2000) to see whether it similarly explained long-term unemployment among 26- to 27-year-old Finns and Swedes. The participants were drawn from two ongoing longitudinal studies: the Jyväskylä Longitudinal Study of Personality and Social Development (conducted in Finland) and the Individual Development and Adaptation study (conducted in Sweden). At both ages, that is 36 and 26–27, low education was related to long-term unemployment, and explained by personality characteristics in middle childhood, such as low self-control of emotions or conduct problems, and behavioural inhibition or timidity. However, while low self-control of emotions additionally explained long-term unemployment among the 36-year-olds directly, in both the young samples personality characteristics showed only indirect effects through poor educational attainment. At age 26–27, childhood personality characteristics explained selection onto an educational track rather than selection into long-term unemployment, and length of education explained duration of unemployment.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S763-S763
Author(s):  
Per H Jensen

Abstract Until recently employment prospects of older workers have been rather poor. In recent years, however, the duration of unemployment among older workers has diminished, meaning that older workers are more frequently hired by employers. Changing employment prospects of older workers are no doubt framed by a decrease in overall unemployment. The aim of this paper, however, is to shed light on the emergence of new inclusive mechanisms by answering three interrelated research questions: (1) where are the job openings for unemployed seniors? (2) How have unemployed seniors been recruited? (3) Why do companies hire older workers. Using Denmark as a test case findings show that job openings are rather frequent in branches with tight labor markets and that characteristics of companies and management are important; for instance, the older the average age of management the higher the inclination to hire unemployed older workers. Findings furthermore show that mouth-to-mouth recommendation and the internet are the most used recruitment channels, while the public employment service is less used. Finally, findings show that qualification, stability and experience are the most reported reasons as to why employers hire unemployed older workers are. The paper is based on a survey with 2,525 valid respondents, response rate: 25.


2018 ◽  
Vol 18 (3-4) ◽  
pp. 322-345 ◽  
Author(s):  
Moritz Berger ◽  
Matthias Schmid

Abstract: Time-to-event models are a popular tool to analyse data where the outcome variable is the time to the occurrence of a specific event of interest. Here, we focus on the analysis of time-to-event outcomes that are either intrinsically discrete or grouped versions of continuous event times. In the literature, there exists a variety of regression methods for such data. This tutorial provides an introduction to how these models can be applied using open source statistical software. In particular, we consider semiparametric extensions comprising the use of smooth nonlinear functions and tree-based methods. All methods are illustrated by data on the duration of unemployment of US citizens.


2019 ◽  
Vol 30 (2) ◽  
pp. 305-310
Author(s):  
Paula Acevedo ◽  
Ana I Mora-Urda ◽  
Pilar Montero

Abstract Background Employment status is an important determinant of health inequalities. The aim of this article is to analyze the association between duration of unemployment and the presence of cardiovascular risk factors, self-perception of health and presence of depression and anxiety, assessing differences in the effects of unemployment by sex and age. Methods The sample was composed of 12 123 people (52.4% men), 18 to 74 years old (mean age= 43.5 years, SD = 10.4). Logistic regression analyses were used to study the influence of duration of unemployment on health (‘0 days’, ‘≤11 months’ and ‘≥12 months’). Sex, age, level of education, employment status and time spent unemployed, as well as tobacco and alcohol use and physical activity, were considered. Morbidity variables were hypertension, hypercholesterolemia, diabetes, obesity, depression and anxiety, and a subjective health assessment. Results The results showed both unemployed men and women had worse outcome in health compared with their active counterparts. The risk of hypertension was presented in long-term unemployed men, which had 1.3 times more likely to suffer from hypertension. The risk of obesity was presented only in unemployed women, which had 1.5 times more risk of obesity, doubling the risk (OR= 2.2) among women under age 40. The unemployment had a protective effect against anxiety among younger women (OR = 0.53) Conclusion It has been observed a different influence of unemployment time on men and women’s health. The employment status should be considered in public health policy agendas with the purpose of reducing inequalities in health.


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