美国论文代写:收入不平等

18 6月 美国论文代写:收入不平等

美国论文代写:收入不平等

多年来,社会科学家一直在研究一个国家的收入不平等与社会发展之间的关系。1970多个国家获得了关于多个国家收入分配的可比数据,这进一步提高了研究人员了解经济不平等与发展之间关系的兴趣。许多指标被用来比较不同国家的经济发展,并得出实证结果。其中包括人均国民生产总值、生活质量指数、人类发展指数等。

在本文中,我们将讨论库兹涅茨假设、库兹涅茨曲线和比率、支持库兹涅茨曲线的研究以及不支持的研究。了解收入不平等与收入之间的关系是困难的,因为它高度依赖于用于分析的数据质量,并确保在提出假设时考虑到正确的参数。

库兹涅茨U形曲线或人均收入与收入不平等的关系是发展经济学长期存在的传统。因此,当一个国家首先从一个穷国发展成为富国的发展道路时,它遵循库兹涅茨曲线。因此,收入不平等和人均收入将处于最低水平,随着时间的推移和发展,收入和不平等达到了一个门槛,开始下降。

库兹涅茨曲线虽然描述了两个参数之间的典型关系,但研究表明这一假设是完全不正确的,而提出这个假设的假设并不完全正确,导致的范围非常有限。实证研究显示出更有前途和更可靠的结果。

美国论文代写:收入不平等

For many years now social scientists have been interested in studying the relationship between income inequality and social development in a country. Access to the comparable data on the distribution of income within multiple countries was available in 1970’s; this further increased the interest of researchers to understand the relationship between economic inequality and development. Many indicators were put to use in order to compare the economic developments within different countries and come out with empirical results. Some of them are Gross national product per capita, Physical quality of life index, Human development index etc.

In this paper we are going to discuss the Kuznets hypothesis, Kuznets curve and ratio, studies that support Kuznets curve and studies that do not. The study of understanding the relationship between income inequality and income is tough because it is highly dependent upon the quality of data used for analysis and making sure that right parameters are taken into account while coming up with a hypothesis.

Kuznets U shaped curve or the relationship between per capita income and income inequality is a long standing tradition in developmental economics. Thus, when a country first starts on the path of development for becoming a rich country from a poor country, it follows the Kuznets curve. Thus, the income inequality and per capita income are going to be at the lowest; with time and development the incomes and inequality reaches a threshold post which the decline starts again.

Kuznets curve though describes a typical relationship between two parameters, but studies show that the hypothesis is entirely not correct and the assumptions made for coming up with this hypothesis are not entirely correct, leading to a very limited scope. Empirical studies show much more promising and reliable results.