Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/316113 
Year of Publication: 
2024
Citation: 
[Journal:] Review of Economics and Political Science (REPS) [ISSN:] 2631-3561 [Volume:] 9 [Issue:] 3 [Year:] 2024 [Pages:] 265-297
Publisher: 
Emerald, Bingley
Abstract: 
Purpose Our paper studies a central issue with a long history in economics: the relationship between population and economic growth. We analyze the joint dynamics of economic and demographic growth in 111 countries during the period 1960-2019. Design/methodology/approach Using the concept of economic regime, the paper introduces the notion of distance between the dynamical paths of different countries. Then, a minimal spanning tree (MST) and a hierarchical tree (HT) are constructed to detect groups of countries sharing similar dynamic performance. Findings The methodology confirms the existence of three country clubs, each of which exhibits a different dynamic behavior pattern. The analysis also shows that the clusters clearly differ with respect to the evolution of other fundamental variables not previously considered [gross domestic product (GDP) per capita, human capital and life expectancy, among others]. Practical implications Our results indirectly suggest the existence of dynamic interdependence in the trajectories of economic growth and population change between countries. It also provides evidence against single-model approaches to explain the interdependence between demographic change and economic growth. Originality/value We introduce a methodology that allows for a model-free topological and hierarchical description of the interplay between economic growth and population.
Subjects: 
Economic growth
Hierarchical tree
Minimal spanning tree
Non parametric analysis
Population dynamics
Time series analysis
JEL: 
C10
C14
J10
O40
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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