A Topological Approach to Structural Change Analysis and an Application to Long-Run Labor Allocation Dynamics

58 Pages Posted: 15 Oct 2016

See all articles by Denis Stijepic

Denis Stijepic

affiliation not provided to SSRN

Date Written: October 12, 2016

Abstract

A great part of economic literature deals with structural changes, i.e. long-run changes in the structure of economic aggregates. While the standard literature relies on the mathematical branches of analysis and algebra for modeling structural change and describing the relevant empirical evidence, we choose a topological approach, which relies on the notions of self-intersection and mutual intersection of trajectories. We discuss all the methodological and mathematical aspects of this approach and show that it is applicable to a wide range of classical topics and papers of growth and development theory. Then, we apply it for studying a specific type of structural change, namely, the long-run labor re-allocation across sectors: we (a) elaborate new empirical evidence stating that mutual intersection and non-self-intersection are stylized facts of long-run labor re-allocation, (b) suggest and discuss theoretical explanations of non-self-intersection, and (c) discuss mathematical methods for explaining mutual intersection by using standard structural change models. Overall, our approach generates new evidence, new critique points of the previous structural change literature, new theoretical arguments, and a wide range of new research topics.

Keywords: structural change, dynamics, long run, trajectory, intersection, self-intersection, differential equations, geometry, topology, labor, allocation, savings, functional income distribution

JEL Classification: C61, C65, O41

Suggested Citation

Stijepic, Denis, A Topological Approach to Structural Change Analysis and an Application to Long-Run Labor Allocation Dynamics (October 12, 2016). Available at SSRN: https://ssrn.com/abstract=2851459 or http://dx.doi.org/10.2139/ssrn.2851459

Denis Stijepic (Contact Author)

affiliation not provided to SSRN

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
50
Abstract Views
462
PlumX Metrics