9 citations · 11 across the 5 of their papers we have counts for
5 papers
Tournaments, Contestant Heterogeneity and Performance
Enzo Brox, Daniel Goller
Tournaments are frequently used incentive mechanisms to enhance performance. In this paper, we use field data and show that skill disparities among contestants asymmetrically affec…
'Good job!' The impact of positive and negative feedback on performance
Daniel Goller, Maximilian Späth
We analyze the causal impact of positive and negative feedback on professional performance. We exploit a unique data source in which quasi-random, naturally occurring variations wi…
A general framework to quantify the event importance in multi-event contests
Daniel Goller, Sandro Heiniger
We propose a statistical framework for quantifying the importance of single events that do not provide intermediate rewards but offer implicit incentives through the reward structu…
Active labour market policies for the long-term unemployed: New evidence from causal machine learning
Daniel Goller, Tamara Harrer, Michael Lechner +1
Active labor market programs are important instruments used by European employment agencies to help the unemployed find work. Investigating large administrative data on German long…
Analysing a built-in advantage in asymmetric darts contests using causal machine learning
Daniel Goller
We analyse a sequential contest with two players in darts where one of the contestants enjoys a technical advantage. Using methods from the causal machine learning literature, we a…