Income and wealth distribution of the richest Norwegian individuals: An inequality analysis

Jagielski, Maciej; Czyżewski, Kordian; Kutner, Ryszard; Stanley, H. Eugene

doi:10.1016/j.physa.2017.01.077

Cited by 30 publications

(20 citation statements)

References 23 publications

(28 reference statements)

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“…8. The effect of maternal education on family income Jagielski et al (2017) explained that a person's income was influenced by education. People who have higher education would work in high positions so that they were able to earn a large income.…”

Section: The Effect Of Family Income On Child Developmentmentioning

confidence: 99%

The Effect of Gadget Use on Child Development: A Path Analysis Evidence from Melawi, West Kalimantan

Calorina

Pawito

Prasetya

2021

J MATERN CHILD HEALTH

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Background: The use of gadgets in early childhood can affect the mental and physical development of children. The Indonesian Pediatric Association (IDAI) estimates that 5-10% of children experience developmental delays. Children's development is influenced by environmental factors, parents, nutritional status, and the use of gadgets. This study aimed to analyze the effect of gadget use on child development in Melawi, West Kalimantan, using path analysis model. Subjects and Method: This was a cross sectional study conducted in Melawi, West Kalimantan, Indonesia, from August to September 2019. A total 200 children aged 3 to 5 years old was selected by fixed exposure sampling. The dependent variable was child development. The independent variables were gadget usage, maternal age, maternal education, maternal employment, family income, number of children, and family type. The data were collected by questionnaire. The data were analyzed by path analysis run on Stata 13. Results: Child development was directly and positively affected by maternal aged ≥20 years old (b= 1.52; 95% CI= -0.29 to 3.35; p= 0.101), high maternal education (b=2.53; 95% CI=1.23 to 3.84; p<0.001), family income ≥Rp 2,288,000 (b= 1.38; 95% CI= 0.01 to 2.77; p= 0.049), and core family type (b= 1.61; 95% CI= 0.43 to 2.80; p= 0.008). Child development was directly and negatively affected by gadget use (b= -2.74; 95% CI= -3.99 to -1.49; p<0.001), mother working outside the house (b= -1.98; 95% CI= -3.06 to -0.90; p<0.001), and number of children >2 (b= -2.48; 95% CI= -3.67 to -1.29; p<0.001). Child development was indirectly affected by maternal education and maternal employment. Conclusion: Child development is directly and positively affected by maternal aged ≥20 years old, high maternal education, high family income, and core family type. Child development is directly and negatively affected by gadget use, mother working outside the house, and number of children >2. Child development is indirectly affected by maternal education and maternal employment.

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Section: The Effect Of Family Income On Child Developmentmentioning

confidence: 99%

The Effect of Gadget Use on Child Development: A Path Analysis Evidence from Melawi, West Kalimantan

Calorina

Pawito

Prasetya

2021

J MATERN CHILD HEALTH

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“…, . The "true" distribution of the wealth of the richest persons is usually discussed to be truncated lognormal (Campolieti, 2018) or Paretian (Jaguelski et al, 2017;or Capehart, 2014) or it can be modelled by different functions, e.g. by Lorenz curve (Wang and You, 2016).…”

Section: Extreme Value Theorymentioning

confidence: 99%

“…There is however difference between log-normal and Pareto distribution in the speed of decline of the density, which was recently discussed in connection with the wealth distribution e.g. in Jaguelski et al (2017) or Campolieti (2018).…”

Section: Introductionmentioning

confidence: 99%

Distribution of the wealth of the richest persons in the world

Čabla¹,

Habarta²

2019

Proceedings of the 22nd International Scientific Conference on Applications of Mathematics and Statistics in Economics (AMSE 20

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The aim of this paper is to examine the probability distribution of wealth of the richest persons in the world based on estimates from the CEOWORLD magazine's rich list for March 2019. Since one can safely assume that there are a tiny number of people out of the whole world's population in this list, we basically deal with the very right tail of the wealth distribution, which should according to the Pickands-Balkema-de Haan theorem follow a generalized Pareto distribution. We discuss in this paper not only different estimates of this distribution with an emphasis on the shape parameter per se but also their behavior throughout bootstrap samples. Among the main findings is the observation based on the maximum to sum plot and parametric estimates that there is high probability of infinite variance. This could have a serious impact on estimates of inequality measures. The whole distribution follows nearly a Pareto distribution, whereas the very right tail is closer to an exponential. The bootstrap technique confirms that maximum likelihood estimates are almost normally distributed, but they overestimate variance. Estimates via the method of L-moments diverge from the normal distribution. The correlation of the parameter estimates is moderately negative, which is demonstrated in a simultaneous confidence region.

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“…Through exchange models, some economic inequality indices have been explained and calculated from microscopic principles [9][10][11]. When studying the distribution of income and wealth with these models, different trends have been verified, such as the formation of classes [12,13]. Indeed, it has been seen that in the presence of labor unions, government policies to reduce inequality, or other solidarity factors of social protection, the corresponding wealth distribution changes to a bimodal distribution [14].…”

Section: Introductionmentioning

confidence: 99%

Effect of Savings on a Gas-Like Model Economy with Credit and Debt

Chacón‐Acosta

Ángeles-Sánchez

2021

Entropy

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In kinetic exchange models, agents make transactions based on well-established microscopic rules that give rise to macroscopic variables in analogy to statistical physics. These models have been applied to study processes such as income and wealth distribution, economic inequality sources, economic growth, etc., recovering well-known concepts in the economic literature. In this work, we apply ensemble formalism to a geometric agents model to study the effect of saving propensity in a system with money, credit, and debt. We calculate the partition function to obtain the total money of the system, with which we give an interpretation of the economic temperature in terms of the different payment methods available to the agents. We observe an interplay between the fraction of money that agents can save and their maximum debt. The system’s entropy increases as a function of the saved proportion, and increases even more when there is debt.

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Income and wealth distribution of the richest Norwegian individuals: An inequality analysis

Cited by 30 publications

References 23 publications

The Effect of Gadget Use on Child Development: A Path Analysis Evidence from Melawi, West Kalimantan

The Effect of Gadget Use on Child Development: A Path Analysis Evidence from Melawi, West Kalimantan

Distribution of the wealth of the richest persons in the world

Effect of Savings on a Gas-Like Model Economy with Credit and Debt

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