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Mobilidade entre estados de pobreza e inserção no mercado de trabalho: uma análise para o Brasil metropolitano em 2004


  • Ana Flávia Machado


  • Rafael Perez Ribas


  • Mariângela Penido



The relation between dynamics of poverty and labor market includes some issues as what conducts certain poor groups to escape of this condition and what induces other groups to enter in the poverty. Seeking to analyze these issues, the purpose of this article is to investigate the relation between poverty states and way of occupational conditions in the labor market in Brazilian metropolitan areas in 2004. To follow up individuals in the sample, in order to hold the mobility, the Pesquisa Mensal de Emprego (PME) 2004 was used as source of the database. The model of mobility, or poverty transition model, is based on a Markov matrix, using as strategy of estimating a probit model with sample selection. Observing the mobility process in this model, poverty permanence rates and poverty transition rates had been calculated, as well as other mobility measurements, for each group of occupational condition. The results point out the importance of labor market aspects to permanence in the non-poor state and transitions to out of poverty.

Suggested Citation

  • Ana Flávia Machado & Rafael Perez Ribas & Mariângela Penido, 2007. "Mobilidade entre estados de pobreza e inserção no mercado de trabalho: uma análise para o Brasil metropolitano em 2004," Textos para Discussão Cedeplar-UFMG td300, Cedeplar, Universidade Federal de Minas Gerais.
  • Handle: RePEc:cdp:texdis:td300

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    References listed on IDEAS

    1. Wen, Mei, 2004. "Relocation and agglomeration of Chinese industry," Journal of Development Economics, Elsevier, vol. 73(1), pages 329-347, February.
    2. Max Lu, 2002. "Forging Ahead and Falling Behind: Changing Regional Inequalities in Post-reform China," Growth and Change, Wiley Blackwell, vol. 33(1), pages 42-71.
    3. Gustafsson, Bjorn & Shi, Li, 2002. "Income inequality within and across counties in rural China 1988 and 1995," Journal of Development Economics, Elsevier, vol. 69(1), pages 179-204, October.
    4. Jian, Tianlun & Sachs, Jeffrey D. & Warner, Andrew M., 1996. "Trends in regional inequality in China," China Economic Review, Elsevier, vol. 7(1), pages 1-21.
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    1. repec:spr:izamig:v:7:y:2017:i:1:d:10.1186_s40176-017-0099-x is not listed on IDEAS

    More about this item


    poverty; labor market; mobility; Markov matrix; longitudinal data;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

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