The Cluster of Excellence ECONtribute: Markets & Public Policy (EXC2126) is an interdisciplinary research initiative at the University of Bonn and Cologne, funded by the German Research Foundation (DFG). ECONtribute brings together leading researchers from economics and neighboring disciplines. As a key partner in our data repository, ECONtribute supports our shared goal of promoting high quality data sharing and collaboration in economic research to improve economic decisions and outcomes.
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.

Advanced Search

1 to 3 of 3 Results
Dec 6, 2024
Müller, Stefan; Proksch, Sven-Oliver, 2024, "Replication Data for: Nostalgia in European Party Politics: A Text-Based Measurement Approach", https://doi.org/10.7910/DVN/W8VGJF, Research Data Center of IZA (IDSC), V1, UNF:6:d5zPn3a1LbWP6rcrdXqygQ== [fileUNF]
Replication data and scripts to reproduce all plots, tables, and analyses reported in the paper and Online Supporting Information. The file 00000_README.pdf contains detailed information on each script and explains how to run the files. The PolNos datasets are available at: Mülle...
Dec 6, 2024
Kaufmann, Marc; Andre, Peter; Koszegi, Botond, 2024, "Replication Data for: 'Understanding Markets with Socially Responsible Consumers'", https://doi.org/10.7910/DVN/49CETN, Research Data Center of IZA (IDSC), V1, UNF:6:Ni0SC8nq36osj1BSicGHpg== [fileUNF]
The data and programs replicate tables and figures from "Understanding Markets with Socially Responsible Consumers," by Kaufmann, Andre, and Koszegi. Please see the README file for additional details.
Dec 6, 2024
Bauer, Michal; Cahlíková, Jana; Celik Katreniak, Dagmara; Chytilová, Julie; Cingl, Lubomír; Želinský, Tomáš, 2024, "Replication Data for: Nastiness in Groups", https://doi.org/10.7910/DVN/FVPDFB, Research Data Center of IZA (IDSC), V1, UNF:6:UAfv1ciflOAH5vFoHKXkNA== [fileUNF]
Replication data and files for the paper "Nastiness in Groups", forthcoming in the Journal of the European Economic Association
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

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.