• DocumentCode
    3564999
  • Title

    A New Lorenz Curve Model Based on Income Distribution Research

  • Author

    Yan Qingtao ; Yi Tong ; Wei Wenchao ; Fu Shenghua

  • Author_Institution
    Sch. of Inf. Technol., Jiangxi Univ. of Finance & Econ., Nanchang, China
  • fYear
    2014
  • Firstpage
    295
  • Lastpage
    300
  • Abstract
    Income distribution is related to the people´s standard of living. Distributive justice is a widely concerned topic. And middle-income population is an important index to reflect the structure of income distribution. The larger proportion of it, means that the income distribution structure more reasonable. By studying the relevant literature, this paper sums up 10 kinds of Lorenz curve model, and fits the 10 models for packet data, we found that if the model can meet the general method of the Lorenz curve models, the fitting precision is not too bad. And based on the rational use of some parameters of the model (such as the introduction of sine and cosine function), the fitting accuracy will be further improved. According to the information, this article introduces the hyperbolic sine and cosine function, structures the Lorenz curve model. Use the nonlinear least-squares fitting of the model, and compare the fitting accuracy and standard error structure of the model with the existing model, we construct the fitting precision accuracy of the model has reached higher, superior to other models.
  • Keywords
    economic indicators; least mean squares methods; research and development; Lorenz curve models; cosine function; distributive justice; fitting accuracy; hyperbolic sine function; income distribution research; living standard; middle-income population; nonlinear least-squares fitting; packet data; standard error structure; Accuracy; Convex functions; Data models; Economics; Fitting; Industries; Mathematical model; Lorenz curve; accuracy comparison; income distribution; nonlinear fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of e-Commerce and e-Government (ICMeCG), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICMeCG.2014.67
  • Filename
    7046936