Recent survey evidence suggests that investors form beliefs about future stock returns by predominantly extrapolating their own experience: They overweight returns they have personally experienced while underweighting returns from earlier years and consequently expect high (low) stock market...

Purpose: Automatic grouping of data according to certain characteristics is made possible by clustering algorithms, which makes them an essential tool when working with large datasets. However, although they are unsupervised tools, they generally require the specification of the number of...

The Triple Helix (3H) model has attracted considerable attention in both developed and emerging economies as a tool to enhance innovation for economic development (Etzkowitz and Leydesdorff, 2000). This article examines the assumption underlying the triple helix that the exchange of diverse...

We study the evolution of monetary returns to high school education and their heterogeneity after the labor market entry using linked survey and administrative labor market data from Germany. By exploiting academic track school openings for cohorts from 1950–1985, we find sizeable monetary...

Predictions of the individual unemployment duration will allow to distribute target support while searching for a job more effectively. The paper uses survival models to predict the unemployment duration based on data from Russian employment centers in 2017-2021. The dataset includes...