Is there a buffering effect of flexibility for job attitudes and work-related strain under conditions of high job insecurity and regional unemployment rate?

2011 ◽  
Vol 32 (4) ◽  
pp. 609-630 ◽  
Author(s):  
Kathleen Otto ◽  
Anja Hoffmann-Biencourt ◽  
Gisela Mohr
Keyword(s):  
Unemployment Rate ◽  
Career Satisfaction ◽  
Job Insecurity ◽  
Job Attitudes ◽  
Related Strain ◽  
Buffering Effect ◽  
Regional Unemployment ◽  
Work Related ◽  
Personality Attribute ◽  
Regional Unemployment Rate

This article explores the relationships of job insecurity and regional unemployment rate with job attitudes and work-related strain. The authors considered the personality attribute flexibility as a potential moderator. Their results revealed job insecurity to be negatively associated with job involvement and career satisfaction and positively with readiness to make concessions and strain. Moreover, with an increasing level of subjective (qualitative) job insecurity, individuals low in flexibility reported lower career satisfaction. In contrast, where objective job insecurity (unemployment rate) was high, these low flexibility participants showed higher career satisfaction. They were also more ready to make concessions and more involved with their job than those high in flexibility. Finally, the study found the proposed buffering effect, as those high in flexibility experienced less health impairment when perceived (quantitative) job insecurity and regional unemployment rate were high. Strategies of coping with uncertainty as well as options regarding strengthening flexibility are discussed.

Welke factoren bepalen de aansluiting van onderwijs en beroep?

2011 ◽  
Vol 27 (4) ◽  
Author(s):  
Dieter Verhaest ◽  
Walter Van Trier ◽  
Sana Sellami
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Unemployment Rate ◽  
Regional Unemployment ◽  
Negative Effect ◽  
The Subject ◽  
Regional Unemployment Rate ◽  
Job Content

What factors determine the adequacy between education and occupation? A study among Flemish graduates from higher education What factors determine the adequacy between education and occupation? A study among Flemish graduates from higher education The literature on mismatch considers the so-called ‘overeducated’ mostly as a homogeneous category and does not consider the match between subject and job content. In this article we distinguish between the overeducated with a horizontal match and those without a horizontal match. Our starting hypothesis is that being overeducated without realizing a horizontal match is especially problematic. Our results, based on data for higher education graduates in Flanders, are consistent with this. We find that the negative effect of being overeducated is stronger for youngsters without a horizontal match. We also find that both types of overeducation are connected to different mechanisms. The regional unemployment rate, for instance, mainly explains overeducation with horizontal match. Both types of overeducation, even if not in the same way, are also influenced by the quality of human capital as well as the subject of study.

scholarly journals Development of regional unemployment characteristics in the Czech Republic

2012 ◽  
Vol 49 (No. 12) ◽  
pp. 571-578 ◽  
Author(s):  
J. Dufek
Keyword(s):  
Czech Republic ◽  
Unemployment Rate ◽  
Development Trend ◽  
Linear Functions ◽  
The Czech Republic ◽  
Regional Unemployment ◽  
Regional Unemployment Rate ◽  
Seasonal Indices ◽  
The Development Trend ◽  
Different Levels

The paper deals with statistical analysis of the registered regional unemployment rate in regions and districts of the Czech Republic from 1998 to 2002. Regional unemployment reaches significantly different levels; moreover, within the examined period, differences were increasing: variance between the minimum and the maximum increased approx. from 12% to 20% in the respective districts. By means of cluster analysis, regions are divided into more homogenous groups according to the registered unemployment rate by 31 December 2002. The following districts may be identified as the best ones: Praha-západ (Prague-West), Praha-východ (Prague-East), Praha (Prague) and Benešov; the following as the worst ones: Most and Karviná. Concerning regions, the lowest unemployment level may be identified in Praha (Prague); on the contrary, the highest levels were reached in Ústecký region and Moravskoslezský region. Variability, skewness and peak characteristics were calculated to evaluate the development of regional unemployment distribution. The average rose from 5.63% to 9.94%, the standard deviation rose from 2.53% to 4.15%, the variation coefficient stayed around 0.4. Thus, together with the increase in unemployment level, the absolute variability rose while the relative variability stayed approx. constant. The rate distribution was left-sided and increasing; the peak was only slightly higher than the standard peak. The development trend of the characteristics was evaluated by means of linear functions and higher order polynomials; their seasonal variation is described by seasonal indices differing in the degree of their seasonality and distribution in the course of a year. A correlation matrix demonstrates the relations between the trend of the characteristics and their seasonal indices.

scholarly journals The Influence of Regional Social Inequality and Labour Market Characteristics on Health

2013 ◽  
Vol 38 (3) ◽  
Author(s):  
Christiane Gross ◽  
Peter Kriwy
Keyword(s):  
Health Status ◽  
Unemployment Rate ◽  
Multilevel Models ◽  
Educational Inequality ◽  
Panel Study ◽  
Regional Unemployment ◽  
Individual Health ◽  
Individual Health Status ◽  
Regional Unemployment Rate ◽  
The Individual

The influence of contextual factors on individual health status has been demonstrated by a number of studies even when controlling for the individual socio-economic situation (and other relevant factors). The article examines whether and to what extent variables of the place of residence have an effect on individual health status. We do not only refer to income levels and inequality, but also to effects of the educational level and inequality and the regional unemployment rate. As data basis for the individual level, we use the 2006 wave of the German Socio-Economic Panel Study (SOEP) and add regional information on the aggregate level based on the regional units (Raumordnungsregionen) of the Microcensus of 2005. These data will be analysed using multilevel models. The results reveal that regional educational inequality intensifies the individual educational effect, whereby members of less-educated groups in educationally disparate regions exhibit particularly low health chances. In addition, a high regional unemployment rate intensifies the negative effect of individual unemployment on men’s health.

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