Does digital inclusion affect quality of life? Evidence from Australian household panel data

2020 ◽  
Vol 51 ◽  
pp. 101405 ◽  
Author(s):  
Mohammad Afshar Ali ◽  
Khorshed Alam ◽  
Brad Taylor ◽  
Shuddhasattwa Rafiq
2006 ◽  
Vol 1 (3) ◽  
pp. 209-235 ◽  
Author(s):  
M. Kamrul Islam ◽  
Juan Merlo ◽  
Ichiro Kawachi ◽  
Martin Lindström ◽  
Kristina Burström ◽  
...  

We test whether individual health status is related to area-level social capital measured by rates of voting participation in municipal political elections, controlling for personal characteristics, where health status is measured by mapping responses to interview survey questions into the generic health-related quality of life measure (HRQoL) the EQ-5D in order to derive the health state scores. The analysis is based on unbalanced panel data from Statistic Sweden's Survey of Living Conditions (the ULF survey) and a 3-level multilevel regression analysis, where level 1 consists of a total of 31,585 observations for 24,419 individuals at level 2 nested within 275 Swedish municipalities at level 3. We find that the health state scores increase significantly with municipality election rates. This result is robust to a number of measurement and specification issues explored in a sensitivity analysis. However, almost all variation in health status exists across individuals (more than 98%), which demonstrates that even if social capital (and other contextual variables) may be significant it is of less importance, at least at the municipality level in Sweden.


2020 ◽  
Vol V (I) ◽  
pp. 325-335
Author(s):  
Mujib Ur Rahman ◽  
Muhammad Asad ◽  
Wisal Ahmad

An attempt is made in this study to analyze the factors affecting the Quality of Life (QoL). It is difficult to measure the Quality of Life (QoL); hence Human Development Index (HDI) was used as the measure for QoL. Different factors such as standard of living, education, GDP, Gross Capital formations, Urbanizations and Physicians were examined that how these programs, in turn, influenced QoL. Data was collected from World Bank (2019) and UNDP (2019) and examined for 71 United Nations member countries over the period 1990-2019. The results obtained from cross-sectional and panel data approaches suggest that the indicators used in the study significantly enhance the quality of life. The study offers important policy implications.


2009 ◽  
Vol 4 (2) ◽  
pp. 123-135 ◽  
Author(s):  
Jacqueline Scott ◽  
Jane Nolan ◽  
Anke C. Plagnol
Keyword(s):  

2016 ◽  
Vol 19 (5) ◽  
pp. 2069-2092 ◽  
Author(s):  
Pedro Gerber Machado ◽  
Arnaldo Walter ◽  
Michelle Cristina Picoli ◽  
Cristina Gerber João

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