Decompositions of Inequality Measures From the Perspective of the Shapley-Owen Value

2020 ◽  
Author(s):  
Rodrigue Tido Takeng ◽  
Arnold Cedrick Soh Voutsa ◽  
Kévin Fourrey
Keyword(s):  
Owen Value ◽  
Inequality Measures

On Sharpness of Bounds for Some Inequality Measures

2014 ◽  
Author(s):  
DDsirr KKdagni
Keyword(s):  
Inequality Measures

scholarly journals Measurement of Inequality and Compression of Mortality in India for 4 Decades: 1970–2015

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 68-68
Author(s):  
Mukesh Parmar
Keyword(s):  
Standard Deviation ◽  
Gini Coefficient ◽  
Age At Death ◽  
Registration System ◽  
Death Rates ◽  
Male And Female ◽  
Inequality Measures ◽  
Sample Registration System ◽  
Dispersion Measures ◽  
Measurement Of Inequality

Abstract The studies relating to measurement of compression of Mortality in India is scarce. Most of the studies relating to mortality in India are focused on either life expectancy, or adult, and child mortality. We have used methods suggested by Kannisto (2000) and Canudos (2008) to measure the compression of mortality phenomenon for India for four decades viz. 1970-2015. Dispersion measures like simple mean, median, modal age at death; and some complicated measures like life disparity, standard deviation above mode, standard deviation in highest quartile, Interquartile range, Gini coefficient, AID and C-family were calculated for India from 1970-2015. We used the age specific death rates from abridged Life tables given by Sample Registration System published by Govt. of India. Our results show that inequality in mortality is decreasing in general but the gap between male and female is increasing. There was an average of three years difference in mean and modal age at death between male females in 2011-15. Overall, mean, median and modal age at death has increased in four decades but other inequality measures like Gini coefficient, AID, Standard deviation (SD) and coefficient of variation has decreased in four decades in India. C50 indicator, which indicates that 50 percent of deaths are happening in that age interval, declined from 26 years to 20 years for males and 27 years to 17 years for females, thus indicating the rate of compression of mortality is higher for females than males in India during 1970-75 till 2011-15.

New axiomatizations of the Owen value

2021 ◽  
Author(s):  
Xun-Feng Hu
Keyword(s):  
Owen Value

Extension of owen value for the game with a coalition structure under the limited feasible coalition

2021 ◽  
Vol 25 (8) ◽  
pp. 6139-6156
Author(s):  
Yu Xiaohui
Keyword(s):  
Coalition Structure ◽  
Owen Value ◽  
Feasible Coalition

scholarly journals Spatiotemporal Patterns and Influencing Mechanism of Urban Residential Energy Consumption in China

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3864
Author(s):  
Qiucheng Li ◽  
Jiang Hu ◽  
Bolin Yu
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Decomposition Analysis ◽  
Theil Index ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
Index Method ◽  
Inequality Measures ◽  
Influencing Mechanism ◽  
Per Capita

The residential sector has become the second largest energy consumer in China. Urban residential energy consumption (URE) in China is growing rapidly in the process of urbanization. This paper aims to reveal the spatiotemporal dynamic evolution and influencing mechanism of URE in China. The spatiotemporal heterogeneity of URE during 2007–2018 is explored through Kernel density estimation and inequality measures (i.e., Gini coefficient, Theil index, and mean logarithmic deviation). Then, with several advantages over traditional index decomposition analysis approaches, the Generalized Divisia Index Method (GDIM) decomposition is employed to investigate the impacts of eight driving factors on URE. Furthermore, the national and provincial decoupling relationships between URE and residential income increase are studied. It is found that different provinces’ URE present a significant agglomeration effect; the interprovincial inequality in URE increases and then decreases during the study period. The GDIM decomposition results indicate the income effect is the main positive factor driving URE. Besides, urban population, residential area, per capita energy use, and per unit area energy consumption positively influence URE. By contrast, per capita income, energy intensity, and residential density have negative effects on URE. There is evidence that only three decoupling states, i.e., weak decoupling, strong decoupling, and expansive negative decoupling, appear in China during 2007–2018. Specifically, weak decoupling is the dominant state among different regions. Finally, some suggestions are given to speed up the construction of energy-saving cities and promote the decoupling process of residential energy consumption in China. This paper fills some research gaps in urban residential energy research and is important for China’s policymakers.

scholarly journals Do Left-wing Governments Decrease Wage Inequality among Civil Servants? Empirical Evidence from the German States

2021 ◽  
Vol 49 (1) ◽  
pp. 106-135
Author(s):  
Björn Kauder ◽  
Manuela Krause ◽  
Niklas Potrafke
Keyword(s):  
Wage Inequality ◽  
The United States ◽  
Civil Servants ◽  
Future Research ◽  
State Governments ◽  
Left Wing ◽  
Federal States ◽  
Inequality Measures ◽  
Government Ideology ◽  
German States

We investigate whether left-wing governments decrease wage inequality among civil servants. The data are based on the salaries of civil servants in the German states. Since a reform in 2006, German state governments are allowed to design salaries of civil servants. We employ encompassing data for pay levels and professions including judges, professors, policemen, and administrators and distinguish between levels of operating experiences. We use six wage inequality measures comparing salaries across pay levels and operating experiences. The results do not suggest that left-wing governments were more active in decreasing wage inequality among civil servants than the center or right-wing governments. Cabinet members are civil servants themselves and decide on their own salaries: government ideology is also not shown to predict the salaries of cabinet members. Because left-wing governments are perceived as taking action against income and wage inequality, future research should employ data from other federal states such as the United States to examine how government ideology influences the salaries of civil servants.

Differential Mortality: Some Comparisons between England and Wales, Finland and France, Based on Inequality Measures

1990 ◽  
Vol 19 (4) ◽  
pp. 1001-1010 ◽  
Author(s):  
ANNETTE LECLERC ◽  
FRANCE LERT ◽  
CÉCILE FABIEN
Keyword(s):  
Differential Mortality ◽  
England And Wales ◽  
Inequality Measures

A note on inequality measures for mixtures of double Pareto–lognormal distributions

2021 ◽  
Author(s):  
William Griffiths ◽  
Duangkamon Chotikapanich ◽  
Gholamreza Hajargasht
Keyword(s):  
Lognormal Distributions ◽  
Inequality Measures

Unique Equivalence Scales: Estimation and Implications for Distributional Analysis

1995 ◽  
Author(s):  
David S. Johnson ◽  
Thesia I. Garner
Keyword(s):  
Consumer Price Index ◽  
Equivalence Scales ◽  
Consumer Expenditure ◽  
Constant Elasticity ◽  
Scale Elasticity ◽  
Inequality Measures ◽  
Base Level ◽  
Expenditure Data ◽  
Family Types ◽  
The Us

Equivalence sales are used to adjust income by family size to obtain income distribution measures. Recently, the concept of equivalence scale elasticity has been introduced to characterize the effect that scales have on distribution measures. We produce utility-based equivalence scales that have the property of constant elasticity. By assuming a particular functional form for the scales and that the scales are independent of the base level of utility, we obtain unique equivalence scales. In contrast to previous estimates of utility-based scales, we do not restrict our sample to particular family types. We determine price-dependant scales by estimating a characteristic-dependent almost ideal demand system using quarterly expenditure data from the US Consumer Expenditure Survey and price indices from the US Consumer Price Index. We use our scales and those implicit in the US official poverty thresholds to adjust expenditures and show that these scales have similar effects on inequality measures.

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