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