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Transitioning out of Poverty

Author

Listed:
  • Mika Kato

    (Department of Economics Howard University)

  • David Brasington

    (Louisiana State University)

  • Willi Semmler

    (New School for Social Research, New York)

Abstract

We study the mechanism of inequality due to educational lock-in effects. Recent research on inequality such as Brock and Durlauf (2000a, b) and Durlauf (1999a, b, 2000) has emphasized the fact that the composition and behavior of groups to which a person belongs play an important role for socioeconomic outcomes. Heterogeneity in environment across groups surrounding individuals can lead to take-offs of individuals or can lead to substantial immobility, the so-called social lock-in effects, concerning learning and building up skills. Those effects gradually accumulate and cause larger differences in income and status of individuals across groups. In this paper, we explore a mechanism that can lead to educational and social lock-ins that can give rise to persistent inequality. The presence of such a mechanism has an important implication for competition in the market and thus on aggregate inequality. If these mechanisms are present the model becomes highly nonlinear and may give rise to thresholds and multiple attractors. The lower attractor(s) are regarded as poverty traps and any path to the upper attractor(s) entails a take-off.

Suggested Citation

  • Mika Kato & David Brasington & Willi Semmler, 2006. "Transitioning out of Poverty," Computing in Economics and Finance 2006 470, Society for Computational Economics.
    • Handle: RePEc:sce:scecfa:470
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    Cited by:

    1. is not listed on IDEAS
    2. Donatella Saccone & Matteo Migheli, 2022. "Free to escape? Economic freedoms, growth and poverty traps," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1518-1554, August.
    3. Raphaele Chappe & Willi Semmler, 2019. "Financial Market as Driver for Disparity in Wealth Accumulation—A Receding Horizon Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 1231-1261, October.

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    Keywords

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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