

You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Testing the convergence and the divergence in five Asian countries: from a GMM model to a new Machine Learning algorithm

handle: 11590/390613
PurposeThe purpose of this paper is to empirically test the economic convergence that operate between five selected Asian countries (namely Thailand, Singapore, Malaysia, the Philippines and Indonesia). In particular, it seeks to investigate how increased economic integration has impacted the inter-country income levels among the five founding members of ASEAN.Design/methodology/approachA new Machine Learning (ML) approach is applied along with a panel data analysis (GMM), and the application of KOF Globalization Index.FindingsThe Generalized Method of Moments (GMM) results highlight that the endogenous growth theory seems to be supported for the selected Asian countries, indicating evidence of diverging forces resulting from unequal growth and polarization dynamics. Overcoming the technical issues raised by the econometric approach, the new ML algorithm brings contrasted but interesting results. Using the KOF Globalization Index, the authors confirm how the last phase of globalization set the conditions for an economic convergence among sample members.Originality/valueUsing the KOF Globalization Index, the authors confirm how the last phase of globalization set the conditions for an economic convergence among sample members. As a matter of fact, the new LSTM algorithm has provided consistent evidence supporting the existence of converging forces. In fact, the results highlighted the effectiveness of the experiments and the algorithm we chose. The high predictability of the authors’ model and the absence of self-alignment in the values showed a convergence be-tween the economies.
- Pantheon-Sorbonne University France
- Roma Tre University Italy
- Roma Tre University Italy
- UNIVERSITE PARIS I PANTHEON-SORBONNE France
convergence, panel data, Machine learning, GMM, LSTM, convergence; ASEAN; GMM; panel data; Machine Learning; LSTM, ASEAN
convergence, panel data, Machine learning, GMM, LSTM, convergence; ASEAN; GMM; panel data; Machine Learning; LSTM, ASEAN
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 3 download downloads 3 - 3views3downloads
Data source Views Downloads ZENODO 3 3


