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A topological approach to structural change analysis and an application to long-run labor allocation dynamics

Denis Stijepic

Structural Change and Economic Dynamics, 2019, vol. 51, issue C, 453-462

Abstract: A great part of economic literature deals with structural changes, i.e., long-run changes in the structure of economic aggregates. In contrast to the standard literature, which relies on the mathematical branches of analysis and algebra, we suggest a topological approach for the (empirical and theoretical) analysis of structural change, which relies on the notions of self-intersection and intersection of trajectories. We discuss the methodological, mathematical, and intuitive-theoretical aspects of this approach, show that it is applicable to a wide range of classical topics and papers of growth and development theory, and discuss its (potential) applications in structural change theory, empirics, and prediction. Finally, we demonstrate the applicability of the topological approach in the analysis of a specific type of structural change, namely the long-run labor reallocation across sectors. In particular, we elaborate new empirical evidence in this context and provide theoretical explanations for it.

Keywords: Structural change; Dynamics; Long run; Growth; Development; Trajectory; Intersection; Self-intersection; Differential equations; Topology; Labor; Allocation; Savings; Functional income distribution (search for similar items in EconPapers)
JEL-codes: C61 C65 O41 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Working Paper: A topological approach to structural change analysis and an application to long-run labor allocation dynamics (2016) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:eee:streco:v:51:y:2019:i:c:p:453-462

DOI: 10.1016/j.strueco.2019.03.001

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Structural Change and Economic Dynamics is currently edited by F. Duchin, H. Hagemann, M. Landesmann, R. Scazzieri, A. Steenge and B. Verspagen

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