Unrealistic optimism is a commonly observed bias in the perception of chances. In this paper, we examine whether the bias is also present among young elite soccer players (10 to 23 years old) who receive regular objective feedback through external assessments. Utilising a large unique data set...

We explore the attitude towards risky career choices of young people in highly competitive environments. We empirically test which factors influence young elite athletes' tendency towards choosing a high-risk career option over a lower risk one; looking at the attitudes, of close to 1000 soccer...

Unrealistic optimism is a commonly observed bias in the perception of chances. In this paper, we examine whether the bias is also present among young elite soccer players (10 to 23 years old) who receive regular objective feedback through external assessments. Utilizing a large unique data set...

We explore the attitude towards risky career choices of young people in highly competitive environments. We empirically test which factors influence young elite athletes’ tendency towards choosing a high-risk career option over a lower risk one; looking at the attitudes, of close to 1000 soccer...

We explore the attitude towards risky career choices of young people in highly competitive environments. We empirically test which factors influence young elite athletes' tendency towards choosing a high-risk career option over a lower risk one; looking at the attitudes, of close to 1000 soccer...

Unrealistic optimism is a commonly observed bias in the perception of chances. In this paper, we examine whether the bias is also present among young elite soccer players (10 to 23 years old) who receive regular objective feedback through external assessments. Utilising a large unique data set...

Unrealistic optimism is a commonly observed bias in the perception of chances. In this paper, we examine whether the bias is also present among young elite soccer players (10 to 23 years old) who receive regular objective feedback through external assessments. Utilising a large unique data set...