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Mining patterns of transitional growth using multivariate concept-based models

Jakub Bartak (bartakj@uek.krakow.pl) and Agnieszka Jastrzębska (a.jastrzebska@mini.pw.edu.pl)
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Jakub Bartak: Cracow University of Economics
Agnieszka Jastrzębska: Warsaw University of Technology

Quality & Quantity: International Journal of Methodology, 2022, vol. 56, issue 6, No 21, 4395-4419

Abstract: Abstract The relationship between income and growth rates has been an elementary problem of research on economic convergence. In the present paper, we study growth-income paths in a new perspective. We assess the similarities of transitional growth trajectories with the use of novel concept-based model. Further, we group economies on the basis of the assessed similarities and we evaluate within-group growth-income relationships. The obtained results point to distinct patterns of development, which help to understand the puzzles of absolute convergence and divergence. Among others, we find evidence of a humped-shaped path of long-run transitional growth. Simultaneously, we identify countries which got stuck in poverty and in the middle-income trap.

Keywords: Fuzzy sets; Concept-based models; Economic growth; Convergence (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11135-022-01318-8

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