Z-Tree

Z-Tree: Zurich Toolbox for ready-made economic experiments. Zurich Toolbox for Readymade Economic Experiments. z-Tree is a widely used software package for developing and carrying out economic experiments. The language used to define the experiments is simple and compact, meaning that experiments can be developed quickly, and programming experience is not necessary, though useful. z-Tree is flexible both with respect to the logic of interaction and the visual representation, allowing the simple programming of normal form games, extensive form games, double auctions, or clock auctions, for example. We began the development of the software in 1998, and have continually added new features.


References in zbMATH (referenced in 585 articles )

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  1. Abbink, Klaus; Ryvkin, Dmitry; Serra, Danila: Corrupt police (2020)
  2. Aimone, Jason A.; Ward, Brittany; West, James E.: Dishonest behavior: sin big or go home (2020)
  3. Angelovski, Andrej; Di Cagno, Daniela; Güth, Werner; Marazzi, Francesca: Telling the other what one knows? Strategic lying in a modified acquiring-a-company experiment with two-sided private information (2020)
  4. Arifovic, Jasmina; Evans, George W.; Kostyshyna, Olena: Are sunspots learnable? An experimental investigation in a simple macroeconomic model (2020)
  5. Attanasi, Giuseppe; Concina, Laura; Kamaté, Caroline; Rotondi, Valentina: Firm’s protection against disasters: are investment and insurance substitutes or complements? (2020)
  6. Auerbach, Jan U.; Fonseca, Miguel A.: Preordered service in contract enforcement (2020)
  7. Banerjee, Subrato: Effect of reduced opportunities on bargaining outcomes: an experiment with status asymmetries (2020)
  8. Bao, Wei; Houser, Daniel; Rao, Yulei; Xiao, Erte: Inertia in partnerships: the role of gender (2020)
  9. Boosey, Luke; Goerg, Sebastian: The timing of discretionary bonuses -- effort, signals, and reciprocity (2020)
  10. Cabrales, Antonio; Feri, Francesco; Gottardi, Piero; Meléndez-Jiménez, Miguel A.: Can there be a market for cheap-talk information? An experimental investigation (2020)
  11. Chowdhury, Subhasish M.; Karakostas, Alexandros: An experimental investigation of the `tenuous trade-off’ between risk and incentives in organizations (2020)
  12. Chowdhury, Subhasish M.; Mukherjee, Anwesha; Turocy, Theodore L.: That’s the ticket: explicit lottery randomisation and learning in Tullock contests (2020)
  13. Ciccarone, Giuseppe; Di Bartolomeo, Giovanni; Papa, Stefano: The rationale of in-group favoritism: an experimental test of three explanations (2020)
  14. Danz, David: Never underestimate your opponent: hindsight bias causes overplacement and overentry into competition (2020)
  15. DeAngelo, Gregory; Gee, Laura K.: Peers or police?: the effect of choice and type of monitoring in the provision of public goods (2020)
  16. Ensthaler, Ludwig; Huck, Steffen; Leutgeb, Johannes: Games played through agents in the laboratory -- a test of Prat & Rustichini’s model (2020)
  17. Ferreira, João V.; Hanaki, Nobuyuki; Tarroux, Benoît: On the roots of the intrinsic value of decision rights: experimental evidence (2020)
  18. Fleiß, Jürgen; Ackermann, Kurt A.; Fleiß, Eva; Murphy, Ryan O.; Posch, Alfred: Social and environmental preferences: measuring how people make tradeoffs among themselves, others, and collective goods (2020)
  19. García-Pola, Bernardo: Do people minimize regret in strategic situations? A level-(k) comparison (2020)
  20. García-Pola, Bernardo; Iriberri, Nagore; Kovářík, Jaromír: Non-equilibrium play in centipede games (2020)

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