Convergence in suicide rates in FSU countries: a clustering approach

This paper aims at identifying convergence clubs in suicide rates for a sample of 20 of FSU countries during the 1994-2016 period. A novel machine learning approach revels that while the null hypothesis of overall convergence has been rejected at the 5% significance level, there are four convergence...

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Bibliographic Details
Published in:Applied economics letters 2023-05, Vol.30 (9), p.1183-1188
Main Authors: Andrés, Antonio Rodriguez, Amavilah, Voxi Heinrich S.
Format: Article
Language:English
Subjects:
club convergence
Clubs
Clustering
Cognitive style
Convergence
Economic analysis
Economic theory
Economics
former Soviet Union republics & former satellite countries (FSU)
Null hypothesis
Suicide
suicide rates
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Summary:This paper aims at identifying convergence clubs in suicide rates for a sample of 20 of FSU countries during the 1994-2016 period. A novel machine learning approach revels that while the null hypothesis of overall convergence has been rejected at the 5% significance level, there are four convergence clubs in the region. Within these clubs, different countries are on different transition paths and speeds of convergence, suggesting different policy interventions.
ISSN:1350-4851
1466-4291
DOI:10.1080/13504851.2022.2041167