首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Estimating income mobility using census data
Authors:Erik Alencar de Figueiredo  Flávio Augusto Ziegelmann
Institution:
  • a Department of Economics, Universidade Federal da Paraíba, Brazil
  • b Department of Statistics, Graduate Program in Economics, Universidade Federal do Rio Grande do Sul, Brazil
  • Abstract:This study uses the entropy method to overcome the problem with estimating income distribution dynamics in the absence of data that allow identifying and following up economic units over time. The axiomatic mobility approach (Shorrocks, 1976) 1] and the tools developed by Aebi et al. (1999) 2] were considered. This strategy assumes that income mobility between two time periods is governed by a first-order Markov process. In this context, the measurement of the dynamics of income distribution will be equivalent to fitting cell probabilities for contingency tables, where only marginal distributions are observed. Results suggest that Brazil has low intragenerational income mobility, indicating that its social framework is relatively rigid. In other words, the income class in which an individual is inserted will determine his/her future social position.
    Keywords:Income mobility  Markov process  Maximum entropy econometrics
    本文献已被 ScienceDirect 等数据库收录!
    设为首页 | 免责声明 | 关于勤云 | 加入收藏

    Copyright©北京勤云科技发展有限公司  京ICP备09084417号