Stijepic, Denis (2016): Positivistic models of longrun labor allocation dynamics.
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Abstract
We formulate economic laws of longrun labor reallocation 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.
Item Type:  MPRA Paper 

Original Title:  Positivistic models of longrun labor allocation dynamics 
Language:  English 
Keywords:  labor reallocation; structural change; sectors; agriculture; manufacturing; services; long run; dynamics; trajectory; geometry; simplex 
Subjects:  C  Mathematical and Quantitative Methods > C6  Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61  Optimization Techniques ; Programming Models ; Dynamic Analysis C  Mathematical and Quantitative Methods > C6  Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C65  Miscellaneous Mathematical Tools O  Economic Development, Innovation, Technological Change, and Growth > O1  Economic Development > O14  Industrialization ; Manufacturing and Service Industries ; Choice of Technology O  Economic Development, Innovation, Technological Change, and Growth > O4  Economic Growth and Aggregate Productivity > O41  One, Two, and Multisector Growth Models 
Item ID:  75045 
Depositing User:  Denis Stijepic 
Date Deposited:  12 Nov 2016 07:03 
Last Modified:  10 Oct 2019 12:21 
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URI:  https://mpra.ub.unimuenchen.de/id/eprint/75045 
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