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Positivistic models of long-run labor allocation dynamics

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  • Stijepic, Denis

Abstract

We formulate economic laws of long-run labor re-allocation across agriculture, manufacturing, and services based on empirical evidence and derive the implications of these laws for the future (transitional and limit) labor allocation dynamics in developed and developing countries. Our approach for deriving these predictions is positivistic in the sense that we try to derive the direct implications of the laws, i.e. we try to minimize the dependence of our predictions on theoretical/ideological arguments. Due to this fact and because the economic laws are qualitative statements, our modeling approach requires the use of geometrical/axiomatic dynamic modeling techniques, set theory and logic.

Suggested Citation

  • Stijepic, Denis, 2016. "Positivistic models of long-run labor allocation dynamics," MPRA Paper 75045, University Library of Munich, Germany, revised 10 Nov 2016.
  • Handle: RePEc:pra:mprapa:75045
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    References listed on IDEAS

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    10. Stijepic, Denis, 2015. "A geometrical approach to structural change modelling," Structural Change and Economic Dynamics, Elsevier, vol. 33(C), pages 71-85.
    11. Stijepic, Denis, 2019. "A topological approach to structural change analysis and an application to long-run labor allocation dynamics," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 453-462.
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    Cited by:

    1. Stijepic, Denis, 2019. "On development paths minimizing the aggregate labor-reallocation costs in the three-sector framework and an application to structural policy," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203519, Verein für Socialpolitik / German Economic Association.
    2. Damir Stijepic, 2019. "The impact of the productivity dispersion across employers on the labor's income share," Economics Bulletin, AccessEcon, vol. 39(1), pages 73-83.
    3. Stijepic, Denis, 2017. "On development paths minimizing the structural change costs in the three-sector framework and an application to structural policy," MPRA Paper 77023, University Library of Munich, Germany, revised 22 Feb 2017.

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    More about this item

    Keywords

    labor re-allocation; structural change; sectors; agriculture; manufacturing; services; long run; dynamics; trajectory; geometry; simplex;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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