Skip to main content
Share Dataverse

Share this dataverse on your favorite social media networks.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

1 to 10 of 18 Results
Mar 22, 2018 - AWI Experimental Economics
Apesteguia, Jose; Huck, Steffen; Oechssler, Jörg; Weidenholzer, Elke; Weidenholzer, Simon, 2018, "Imitation of Peers in Children and Adults [Dataset]", doi:10.11588/data/HFTMST, heiDATA, V1, UNF:6:QDuPhtFcF3CPULh+tQIpJQ==
Imitation of the successful choices of others is a simple and superficially attractive learning rule. It has been shown to be an important driving force for the strategic behavior of (young) adults. In this study we examine whether imitation is prevalent in the behavior of childr...
Mar 22, 2018 - AWI Experimental Economics
Reischmann, Andreas; Oechssler, Jörg, 2018, "The Binary Conditional Contribution Mechanism for public good provision in dynamic settings - Theory and experimental evidence [Dataset]", doi:10.11588/data/QHN1KT, heiDATA, V1, UNF:6:oGAQOEsaP2z2MtFReyc6Uw==
We present a new and simple mechanism for repeated public good environments. In the Binary Conditional Contribution Mechanism (BCCM), every agent's message has the form, “I am willing to contribute to the public good if at least k agents contribute in total.” This mechanism offer...
Jul 4, 2017 - AWI Experimental Economics
Buckert, Magdalena; Oechssler, Jörg; Schwieren, Christiane, 2017, "Imitation under stress [Dataset]", doi:10.11588/data/VYCCZI, heiDATA, V1, UNF:6:MAZqxVN4vzEoCVKBRyl1KQ==
Imitation has been shown to be an important heuristic, in particular in relatively complex environments. In this experiment we test whether subjects are more likely to use imitation if they are under time pressure or distracted. Subjects play a repeated Cournot oligopoly. Treatme...
May 30, 2016 - AWI Experimental Economics
Oechssler, Jörg; Roomets, Alex; Roth, Stefan, 2016, "From imitation to collusion: a replication [Dataset]", doi:10.11588/data/10075, heiDATA, V2, UNF:5:qSzzvlOu2rl8/AR8TIBEEQ==
In oligopoly, imitating the most successful competitor yields very competitive outcomes. This theoretical prediction has been confirmed experimentally by a number of studies. A recent paper by Friedman et al. (J Econ Theory 155:185–205, 2015) qualifies those results in an interes...
Aug 31, 2015 - AWI Experimental Economics
Oechssler, Jörg; Roomets, Alex, 2015, "A Test of Mechanical Ambiguity [Dataset]", doi:10.11588/data/10059, heiDATA, V1, UNF:5:0TQJ35gJjj9nUWl9FiZstA==
We implement an experiment to elicit subjects’ ambiguity attitudes in the spirit of Ellsberg's three-color urn. The procedure includes three design elements that (together) have not been featured in similar experiments: Strict ambiguity preferences, a single decision, and a mecha...
Oct 28, 2014 - AWI Experimental Economics
Nikiforakis, Nikos; Oechssler, Jörg; Shah, Anwar, 2014, "Hierarchy, Coercion, and Exploitation: An Experimental Analysis [Dataset]", doi:10.11588/data/10015, heiDATA, V3, UNF:5:Vep1OzKyX8y7uU4Zs/av/g==
The power to coerce workers is important for the efficient operation of hierarchically structured organizations. However, this power can also be used by managers to exploit their subordinates for their own benefit. We examine the relationship between the power to coerce and explo...
Oct 28, 2014 - AWI Experimental Economics
Oechssler, Jörg; Schmidt, Carsten; Schnedler, Wendelin, 2014, "On the Ingredients for Bubble Formation: Informed Traders and Communication [Dataset]", doi:10.11588/data/10018, heiDATA, V2, UNF:5:CfRgi4YFxqGebpDZgTc48w==
Bubbles in asset markets have been documented in numerous experiments. Most experiments in which bubbles occur feature a declining fundamental value. This feature has been criticized for being atypical of real financial markets. Here, we experimentally study other ingredients for...
Aug 4, 2014 - AWI Experimental Economics
Dürsch, Peter; Kolb, Albert; Oechssler, Jörg; Schipper, Burkhard C., 2014, "Rage Against the Machines: How Subjects Learn to Play Against Computers [Dataset]", doi:10.11588/data/10024, heiDATA, V3, UNF:5:UE+VbT403TpvbwYdzJeHMQ==
We use a large-scale internet experiment to explore how subjects learn to play against computers that are programmed to follow one of a number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious play, imitation, r...
Aug 4, 2014 - AWI Experimental Economics
Eichberger, Jürgen; Oechssler, Jörg; Schnedler, Wendelin, 2014, "How do subjects view multiple sources of ambiguity? [Dataset]", doi:10.11588/data/10023, heiDATA, V1, UNF:5:opzxnDkbHOo4fM7i9CoiIw==
As illustrated by the famous Ellsberg paradox, many subjects prefer to bet on events with known rather than with unknown probabilities, i.e., they are ambiguity averse. In an experiment, we examine subjects’ choices when there is an additional source of ambiguity, namely, when th...
Aug 4, 2014 - AWI Experimental Economics
Bauernschuster, Stefan; Dürsch, Peter; Oechssler, Jörg; Vadovic, Radovan, 2014, "Mandatory Sick Pay Provision: A Labor Market Experiment [Dataset]", doi:10.11588/data/10022, heiDATA, V2, UNF:5:QN3j/kE7cRnB9bWCisLgMg==
The question whether a minimum rate of sick pay should be mandated is much debated. We study the effects of this kind of intervention with student subjects in an experimental laboratory setting rich enough to allow for moral hazard, adverse selection, and crowding out of good int...
Add Data

You need to Sign Up or Log In to create a dataverse or add a dataset.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact heiDATA Support

heiDATA Support

Please fill this out to prove you are not a robot.

+ =
Send Message