The Determinants of Internet User Skills in Europe

Leogrande, Angelo; Magaletti, Nicola; Cosoli, Gabriele; Giardinelli, Vito; Massaro, Alessandro

doi:10.2139/ssrn.4113155

Cited by 1 publication

(1 citation statement)

References 25 publications

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“…From our point of view, Lifelong Learning is considered in the light of technological innovation. Company training in new technologies through an orientation towards the digitization of workers in the company [18]. Furthermore, Lifelong Learning can also have a role in boosting high tech exports of knowledge intensive services [19].…”

Section: Introduction-research Question 2 Literature Reviewmentioning

confidence: 99%

The Determinants of Lifelong Learning in Europe

Costantiello¹,

Laureti²,

Leogrande³

2022

Preprint

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The article affords the question of lifelong learning in Europe using data from the European Innovation Scoreboard-EIS in the period 2010-2019 for 36 countries. The econometric analysis is realized using WLS, Dynamic Panel, Pooled OLS, Panel Data with Fixed Effects and Random Effects. The results show that lifelong learning is, among other variables, positively associated to “Human Resources” and “Government procurement of advanced technology products” and is negatively associated, among others, to “Average annual GDP growth” and “Innovation Index”. A clusterization is realized using the k-Means algorithm with a confrontation between the Elbow Method and the Silhouette Coefficient. Subsequently, a Network Analysis was applied with the distance of Manhattan. The results show the presence of 4 complex and 2 simplified network structures. Finally, a comparison was made among eight machine learning algorithms for the prediction of the value of lifelong learning. The results show that the linear regression is the best predictor algorithm and that the level of lifelong learning is expected to growth on average by 1.12%.

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Section: Introduction-research Question 2 Literature Reviewmentioning

confidence: 99%