APA 6th Edition Malešević Perović, L. (2010). Life Satisfaction in Croatia. Croatian Economic Survey, (12), 45-81. Retrieved from https://hrcak.srce.hr/52489
MLA 8th Edition Malešević Perović, Lena. "Life Satisfaction in Croatia." Croatian Economic Survey, vol. , no. 12, 2010, pp. 45-81. https://hrcak.srce.hr/52489. Accessed 19 Jun. 2021.
Chicago 17th Edition Malešević Perović, Lena. "Life Satisfaction in Croatia." Croatian Economic Survey , no. 12 (2010): 45-81. https://hrcak.srce.hr/52489
Harvard Malešević Perović, L. (2010). 'Life Satisfaction in Croatia', Croatian Economic Survey, (12), pp. 45-81. Available at: https://hrcak.srce.hr/52489 (Accessed 19 June 2021)
Vancouver Malešević Perović L. Life Satisfaction in Croatia. Croatian Economic Survey [Internet]. 2010 [cited 2021 June 19];(12):45-81. Available from: https://hrcak.srce.hr/52489
IEEE L. Malešević Perović, "Life Satisfaction in Croatia", Croatian Economic Survey, vol., no. 12, pp. 45-81, 2010. [Online]. Available: https://hrcak.srce.hr/52489. [Accessed: 19 June 2021]
Abstracts In this paper we identify the factors that have influenced average life satisfaction for Croatians based on data collected in reports from 1999 and 2006. Our analysis of the data from the European Values Survey (EVS) reveals that in 1999 life satisfaction was higher for people who were married, those who were employed, and those who had an income between 5,001 and 8,000 Croatian kuna (HRK) per month. Life satisfaction was U-shaped in age, minimizing around the age of 50. There appeared to be little correlation between life satisfaction and education level. Based on our analysis of the 2006 data from the United Nations Development Program (UNDP), we find that in 2006 life satisfaction was higher for people who were married, those who were employed, those who were out of the labor force, those with a university degree, and those with higher incomes. The impact of age in 2006 was U-shaped as it was in the 1999 data, minimizing around the age of 58. The data from both years strongly supports the view that life satisfaction rises with GDP per capita in the county in which a respondent resides.