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...

We build a model studying the effect of an economy's potential for social learning on the adoption of innovations of uncertain quality. Assuming consumers are forward-looking (i.e., recognize the value of waiting for information), we analyze how qualitative and quantitative features of the...

Consider an urn filled with balls, each labeled with one of several possible collective decisions. Now let a random voter draw two balls from the urn and pick her more preferred as the collective decision. Relabel the losing ball with the collective decision, put both balls back into the urn,...