The Impact of Self‐Perceived Relative Income on Life Satisfaction: Evidence from British Panel Data

2019 ◽  
Vol 86 (2) ◽  
pp. 726-745 ◽  
Author(s):  
Han Yu
2018 ◽  
Vol 4 ◽  
pp. 237802311775053 ◽  
Author(s):  
Paul C. Bauer

Evidence suggests that unemployment negatively affects various aspects of individuals’ lives. The author investigates whether unemployment changes individuals’ political evaluations in the form of trust in government and satisfaction with democracy. While most research in this area operates on the macro level, the author provides individual-level evidence. In doing so, the author investigates the assumed causal link with panel data from Switzerland and the Netherlands. In addition, the author studies the impact on life satisfaction, a “control outcome,” known to be affected by unemployment. Although there is strong evidence that changes in employment status do affect life satisfaction, effects on trust in government and satisfaction with democracy seem mostly absent or negligible in size.


Author(s):  
Julia S. Granderath ◽  
Andreas Martin ◽  
Laura Froehlich

AbstractBeyond formal education, continuing adult learning and education (ALE) is considered as successful means for supporting immigrants’ integration into the receiving society. Although recently, subjective parameters of immigrants’ integration (e.g., life satisfaction) have received increasing academic attention, research on the impact of education on subjective integration indicators is still rare. To address this, the present study contributes to the literature by investigating the effect of ALE participation on life satisfaction in a longitudinal design. The study compares the effect for the group of immigrants with the group of natives in order to estimate whether the potential education effect on life satisfaction is equally strong for both groups or stronger for the group of immigrants (interaction effect). For this, the study uses seven waves of panel data from the German National Educational Panel Study (NEPS) with N = 6386 individuals, of which N = 1002 individuals have a migration background. Methodologically, a Random Intercepts Cross-Lagged Panel Model is applied. This allows distinguishing within-person fluctuations from trait-like between-person differences. On the between-person level, we find a significant link between ALE participation and life satisfaction for both immigrants and natives. However, on the within-person level, no significant cross-lagged effects are observed. Moreover, we find no support for an immigrant-native gap in life satisfaction.


2021 ◽  
Vol 5 (3) ◽  
pp. 1-23
Author(s):  
Oksana V. Kuznetsova

The article examines anticipation and adaptation effects in relation to life satisfaction in case of economic (related to labour market) and demographic events in people’s lives. The author estimates how individuals feel in the vicinity of significant life events and tracks the asymmetry of results for women and men. The calculations are based on panel data from the Russian Longitudinal Monitoring Survey for the period 2004–2019. Using pooled regression and the difference-in-differences approach, the author tests the hypothesis that men are more sensitive to economic events while women are more sensitive to demographic ones. The results indicate that there is no consistent asymmetry of effects for men and women. On average, citizens of Russia tend to anticipate events that will happen to them in the next three years. Generally, Russians do not adapt to new conditions after economic events, however, this does not apply to individual demographic shocks.


2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.


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