A topological approach to structural change analysis and an application to long-run labor allocation dynamics
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DOI: 10.1016/j.strueco.2019.03.001
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- Stijepic, Denis, 2016. "A topological approach to structural change analysis and an application to long-run labor allocation dynamics," MPRA Paper 74568, University Library of Munich, Germany, revised 14 Oct 2016.
References listed on IDEAS
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Cited by:
- 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.
- Stijepic, Denis, 2017. "Empirical evidence on the geometrical properties of structural change trajectories," MPRA Paper 80854, University Library of Munich, Germany, revised 17 Aug 2017.
- Stijepic, Denis, 2017. "On the predictability of economic structural change by the Poincaré-Bendixson theory," MPRA Paper 80849, University Library of Munich, Germany, revised 17 Aug 2017.
- Denis Stijepic, 2017.
"Positivistic models of long-run labor allocation dynamics,"
Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-30, December.
- Stijepic, Denis, 2016. "Positivistic models of long-run labor allocation dynamics," MPRA Paper 75045, University Library of Munich, Germany, revised 10 Nov 2016.
- 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
Structural change; Dynamics; Long run; Growth; Development; Trajectory; Intersection; Self-intersection; Differential equations; Topology; Labor; Allocation; Savings; Functional income distribution;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
- O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
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