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Seminar paper from the year 2011 in the subject Sociology - Relationships and Family, grade: 1,0, University of Cincinnati (College of Business), course: Binary Choice Models, language: English, abstract: - Determining factors influencing happiness and well-being becomes increasingly important as politics solely based on the maximization of income/GDP miss the goal of increasing well-being. - This study utilizes data from the 2008 wave of the General Social Survey - a survey comprised of demographic, behavioral, and attitudinal questions ¿ to determine factors that influence the probability of being happy. - As expected, positive general factors are marriage, a high education and the per capita family income. However, only marriage has a high statistical significance. - Negative determinants are unemployment, the number of hours worked per week, a decrease in the family income and a perceived low relative income (compared to others). - Being a parent, i.e. having at least one child has a negative effect. However, happiness is increasing with a rising number of children. It is important to note that the effects of having children are very different among different groups of people: Children have a strong positive effect on married individuals and a low effect on divorced/separated and widowed ones. Being at least 21 years old when the first child is born increases the likelihood that children have a positive impact on happiness. Surprisingly, the effect of children is positive if the children do not live with their parents or if the parents work a lot. - Social comparison and adaption effects seem to play an important role.
Autorius: | Katharina Werner |
Serija: | Aus der Reihe: e-fellows.net stipendiaten-wissen |
Leidėjas: | GRIN Verlag |
Išleidimo metai: | 2011 |
Knygos puslapių skaičius: | 32 |
ISBN-10: | 3640945603 |
ISBN-13: | 9783640945603 |
Formatas: | 210 x 148 x 3 mm. Knyga minkštu viršeliu |
Kalba: | Anglų |
Parašykite atsiliepimą apie „The impact of children and marital status on happiness: A logistic econometric analysis of factors determining social well-being“