Regular Internet Users Across the Italian Regions DOI Creative Commons
Angelo Leogrande

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 4, 2024

Abstract In the following article I analyze determinants of regular internet users in Italian regions. The data is analyzed both terms static analysis and also through application k-Means algorithm optimized with Elbow method. Subsequently, an econometric model presented for estimating regions based on variables that reflect state technological innovation digital culture. results are discussed light implications digitalisation has triggering economic growth. JEL CODE: O3, O31, O32, O33, O34

Language: Английский

Cultural and Creative Employment across Italian Regions DOI Open Access
Angelo Leogrande

Published: April 2, 2024

in the following article I analyze trend of cultural and creative employment Italian regions between 2004 2022 through use ISTAT-BES data. After presenting a static analysis, also present results clustering analysis aimed at identifying groupings regions. Subsequently, an econometric model is proposed for estimating value Finally, compare various machine learning models predicting employment. The are critically discussed economic policy analysis.

Language: Английский

Citations

2

Regular Internet Users across the Italian Regions DOI Open Access
Angelo Leogrande

Published: April 3, 2024

In the following article I analyze determinants of regular internet users in Italian regions. The data is analyzed both terms static analysis and also through application k-Means algorithm optimized with Elbow method. Subsequently, an econometric model presented for estimating regions based on variables that reflect state technological innovation digital culture. results are discussed light implications digitalisation has triggering economic growth.

Language: Английский

Citations

1

Regular Internet Users Across the Italian Regions DOI Creative Commons
Angelo Leogrande

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 4, 2024

Abstract In the following article I analyze determinants of regular internet users in Italian regions. The data is analyzed both terms static analysis and also through application k-Means algorithm optimized with Elbow method. Subsequently, an econometric model presented for estimating regions based on variables that reflect state technological innovation digital culture. results are discussed light implications digitalisation has triggering economic growth. JEL CODE: O3, O31, O32, O33, O34

Language: Английский

Citations

0