2016 ◽  
Vol 5 (12) ◽  
pp. 40
Author(s):  
Bertram Chukwudum Ifeanyi Okpokwasili

<p>This paper investigates whether the use of different inequality measures is instrumental in determining impact on economic growth at the State level. We find that different measures show different levels of significance with respect to economic health. We study New Jersey income distribution and shares from 1964 to 2014, using graphs and statistics. The dual analyses approach and the use of different inequality measures enabled conclusions to be reached, that only one view and one inequality measure would have made difficult, if not misleading. New Jersey Real GDP/Capita (RGC) was going up, whether or not the inequality measure was getting better. Inequality had little or no effect on the direction of the RGC. Economic Growth is not a good measure of the effects of inequality.</p>


1992 ◽  
Vol 26 (1) ◽  
pp. 83-93 ◽  
Author(s):  
Pk. Md. Motiur Rahman ◽  
S. Huda

Until the recent past, the analysis of economic inequality in a country was essentially a macro level exercise. Currently, it has been well recognized that macro level inequality measure is inadequate for assessing a country's economic development and its distributional pattern. To have a clear understanding of the nature, structure and factors responsible for inequality decompositions of aggregate inequality into sectors, sources and determinants of income are essential. The concept of decompositions of inequality signifies that if the population of income recipients is partitioned into a number of subpopulations, the total inequality of the population can be expressed as sum of the inequality within the sub-populations and of the inequality between them.


2021 ◽  
Vol 62 (2) ◽  
pp. 93-114
Author(s):  
Marii Paskov ◽  
Lindsay Richards

It is theorized that income inequality is an indicator of status inequality and should therefore be associated with adverse health outcomes. In this article, we propose a novel way to capture status inequality more directly by measuring the distribution of self-perceived status in a society. We investigate whether status inequality in a society is associated with depression in the population. We show, first, that there is only a moderate association between subjective social status inequality and income inequality. Second, we provide evidence that depression is higher in countries with higher status inequality and that our novel measure of status inequality is more strongly associated with depression than the conventionally used income inequality measure. However, results are susceptible to influential country cases.


Author(s):  
Hoi Le Quoc ◽  
Hoi Chu Minh

Financial development could exert various effects on income distribution of a country. By employing Generalized Method of Moment, this paper aims at examining the impacts of credit market depth, one of most used financial development barometers, on income inequality in Vietnam. The empirical findings show that expanding credit market in the country could lead to higher income inequality. We have not found evidence that supports the hypothesis of an inverted U-shaped relation ever introduced by Greenwood and Jovanovich, although this hypothesis may still hold in a sense that Vietnam has not reached to the inflection point to generate such a curve alike.


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