Mental Health in the Italian Regions

Istat calculates the mental health index in the Italian regions. The mental health index is a measure of psychological distress obtained from the synthesis of the scores obtained by each individual aged 14 years and over on 5 questions extracted from the SF36-36 Item Short Form Survey questionnaire. The questions refer to the four main dimensions of mental health - anxiety, depression, loss of behavioural or emotional control and psychological well-being. The index varies between 0 and 100, with better psychological well-being conditions as the value of the index increases. Data is available for the period 2016-2022

Companies with at least 10 Employees Selling Online across the Italian Regions

The following article analyzes Italian companies with more than 10 employees that use online sales tools. The data used were acquired from the ISTAT-BES database. The article first presents a static analysis of the data aimed at framing the phenomenon in the context of Italian regional disparities. Subsequently, a clustering with k-Means algorithm is proposed by comparing the Silhouette coefficient and the Elbow method. The investigation of the innovative and technological determinants of the observed variable is carried out through the application of a panel econometric model. Finally, different machine learning algorithms for prediction are compared. The results are critically discussed with economic policy suggestions

The Mental Health Index in the Italian Regions

Istat BES calculates the value of the mental health index for the Italian regions. The mental health index is a measure of psychological distress obtained from the summary of the scores scored by each individual aged 14 and over with 5 questions extracted from the SF36 (36-Item Short Form Survey) questionnaire. The questions refer to the four main dimensions of mental health, namely: anxiety, depression, loss of behavioral or emotional control and psychological well-being. The index varies between 0 and 100, with better psychological well-being conditions as the value of the index increases

Export of Medium and High-Tech Products in Europe

The European Innovation Scoreboard-EIS analyzes the value of exports of medium and high-tech products as a percentage of the total value of product exports. In the context of the European Innovation Scoreboard-EIS, the value of the export of medium and high technology products is considered as a function of the employment of human capital. That is, the companies that export more in terms of medium and high technology products are also companies that have a more qualified human capital and whose employability is more resistant to economic crises and recessions

Regular Internet Users Across the Italian Regions

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

The Employment Impact of Innovation in Europe

The European Innovation Scoreboard calculates the value of the impact of innovation on employment through the sum of two sub-indicators, i.e. employment in knowledge-intensive activities and employment in innovative companies

Workers in the Knowledge Economy in Europe

The European Innovation Scoreboard-EIS calculates the value of employees in knowledge-intensive activities in Europe

The Propensity for Patenting in the Italian Regions

In this article I analyzed the propensity for patenting in Italian regions through the use of ISTAT-BES data. The static analysis shows the presence of a significant gap between the northern regions and the southern regions in the period between 2004 and 2019. The econometric analysis applied with panel models highlights the relationships that the propensity to patent has with respect to the determinants of innovation systems at regional level. The results are critically discussed with economic policy recommendations

The Rule of Law in the ESG Framework in the World Economy

In this article, I have estimated the Rule of Law for 193 countries using data from the Environment Social and Governance-ESG database of World Bank. I have used different econometric techniques to estimate the value of “Rule of Law” i.e.: Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled OLS. I found that Rule of Law is positively associated, among others to “Regulatory Quality” and “Control of Corruption” and negatively associated among others to, “Access to Electricity” and “Prevalence of Overweight”. I have performed a cluster analysis with the k-Mean algorithm optimized with the Elbow Method and I find the presence of four clusters. Finally, I present a confrontation among eight different machine-learning algorithms to predict the level of Rule of Law. I find that Linear Regression is the best predictor according to MAE, MSE, RMSE and R-squared

The Export of High Knowledge Intensity Services of European Countries

The European Innovation Scoreboard-EIS calculates the export value of knowledge-intensive services produced in Europe. By knowledge-intensive services we mean a set of activities ranging from sea and air transport to financial services, the use of intellectual property, telecommunications, and audiovisual services. The value is considered as a percentage ratio with respect to the complex value of the exports of services