A geometrical approach to structural change modelling

Stijepic, Denis

doi:10.1016/j.strueco.2015.04.001

Cited by 14 publications

(45 citation statements)

References 15 publications

(18 reference statements)

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“…In this section, we recapitulate some geometrical concepts for structural change analysis, as introduced by Stijepic (2015Stijepic ( ,2016Stijepic ( ,2017a.…”

Section: Mathematical Prerequisitesmentioning

confidence: 99%

“…Stijepic (2015Stijepic ( ,2017a): a point is close to the vertex v 1 if and only if it is located in the partition S 1 ; a point is close to the vertex v 2 (v 3 ) if and only if it is located in the partition S 2 (S 3 ); a point is not close to any of the vertices if and only if it is located in the partition S 0 (cf. Figure 3).…”

Section: Figure 2 Examples Of (Non-)self-intersecting and (Non-)intementioning

confidence: 99%

“…For a detailed discussion of the economic interpretation of the (tangential) vector angles associated with labor allocation trajectories, see Stijepic (2015Stijepic ( ,2017a. We can use Properties 1-3 to immediately identify the dynamics of the sectoral employment shares associated with a trajectory and, in particular, the trajectory segments characterized by monotonous dynamics of sectors.…”

Section: Figure 2 Examples Of (Non-)self-intersecting and (Non-)intementioning

confidence: 99%

“…Regularity 5 can be exploited for long-run predictions of structural change, as discussed and demonstrated by Stijepic (2015Stijepic ( ,2017a. Moreover, the non-self-intersection of the trajectory implies certain efficiency characteristics of the economy with respect to structural change costs, as discussed by Stijepic (2017d): in general, self-intersecting and, in particular, non-monotonous trajectories seem to generate relatively large structural change costs ceteris paribus.…”

Section: Regularity 5: Non-self-intersection Of the Labor Allocation mentioning

confidence: 99%

“…In other words, our approach allows us to immediately identify the geometrical properties of the empirically observable vector fields and trajectory portraits representing the structural change dynamics of a group of countries. This information can be used to derive the properties of the dynamic systems generating these trajectories (see Stijepic (2016Stijepic ( ,2017b) and exploited for (a) prediction of structural change dynamics in developed and developing economies (see Stijepic (2015Stijepic ( ,2017a) and (b) comparison of standard models' assumptions and results with empirical data (see Stijepic (2016Stijepic ( ,2017c). …”

Section: Introductionmentioning

confidence: 99%

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Empirical Evidence on the Geometrical Properties of Structural Change Trajectories

Stijepic¹

2017

SSRN Journal

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Abstract. We study the long-run labor reallocation dynamics in the three-sector framework relating to agriculture, manufacturing, and services. In particular, we depict the labor reallocation data provided by Maddison (1995) and WorldBank on standard simplexes, study the geometrical properties of the implied vector field, and derive the geometrical properties of stylized labor reallocation trajectories.Moreover, we discuss how these properties can be explained by the standard structural change literature and used for structural change analysis and prediction.

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“…In this section, we recapitulate some geometrical concepts for structural change analysis, as introduced by Stijepic (2015Stijepic ( ,2016Stijepic ( ,2017a.…”

Section: Mathematical Prerequisitesmentioning

confidence: 99%

Section: Figure 2 Examples Of (Non-)self-intersecting and (Non-)intementioning

confidence: 99%

Section: Figure 2 Examples Of (Non-)self-intersecting and (Non-)intementioning

confidence: 99%

Section: Regularity 5: Non-self-intersection Of the Labor Allocation mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Empirical Evidence on the Geometrical Properties of Structural Change Trajectories

Stijepic¹

2017

SSRN Journal

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

Stijepic

2019

Structural Change and Economic Dynamics

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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 reallocation across sectors: we (a) elaborate new empirical evidence stating that mutual intersection and non-self-intersection are stylized facts of long-run labor reallocation , (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.

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Models of structural change and Kaldor’s facts: Critical survey from the Cambridge Keynesian perspective

Kurose

2021

Structural Change and Economic Dynamics

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A geometrical approach to structural change modelling

Cited by 14 publications

References 15 publications

Empirical Evidence on the Geometrical Properties of Structural Change Trajectories

Empirical Evidence on the Geometrical Properties of Structural Change Trajectories

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

Models of structural change and Kaldor’s facts: Critical survey from the Cambridge Keynesian perspective

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