alexa Estimating Lorenz Curve of Income in China by Cubic Spl

Research & Reviews: Journal of Statistics and Mathematical Sciences
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Estimating Lorenz Curve of Income in China by Cubic Spline Interpolation

Ying Liang1, Jiaxu Zhang2*, Dandan Jia2, Kungui Zhang2, Qiang Li2 and Xuezhang Liang2

1Business School, Jilin University, Changchun, Jilin, 130012, P.R. China

2Mathematics School, Jilin University, Changchun, Jilin, 130012, P.R. China

Corresponding Author:
Jiaxu Zhang
Mathematics School, Jilin University, Changchun, Jilin, 130012, P.R. China
E-mail: [email protected]

Received: 29/08/2015 Accepted: 20/11/2015 Published: 30/11/2015

 

Abstract

In this paper, we use a kind of cubic-spline-interpolation to approximate the Lorenz curves of urban and rural area in China, respectively. According to the Gini index reported by State Statistics Bureau of China in January 2014, we aggregate the Lorenz curves of urban and rural area in China, and obtain the national Lorenz curves of whole China from 2003 to 2013.

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords