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 565 articles )

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  1. Aimone, Jason A.; Ward, Brittany; West, James E.: Dishonest behavior: sin big or go home (2020)
  2. 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)
  3. Arifovic, Jasmina; Evans, George W.; Kostyshyna, Olena: Are sunspots learnable? An experimental investigation in a simple macroeconomic model (2020)
  4. Attanasi, Giuseppe; Concina, Laura; Kamaté, Caroline; Rotondi, Valentina: Firm’s protection against disasters: are investment and insurance substitutes or complements? (2020)
  5. Cabrales, Antonio; Feri, Francesco; Gottardi, Piero; Meléndez-Jiménez, Miguel A.: Can there be a market for cheap-talk information? An experimental investigation (2020)
  6. Chowdhury, Subhasish M.; Karakostas, Alexandros: An experimental investigation of the `tenuous trade-off’ between risk and incentives in organizations (2020)
  7. Chowdhury, Subhasish M.; Mukherjee, Anwesha; Turocy, Theodore L.: That’s the ticket: explicit lottery randomisation and learning in Tullock contests (2020)
  8. Ensthaler, Ludwig; Huck, Steffen; Leutgeb, Johannes: Games played through agents in the laboratory -- a test of Prat & Rustichini’s model (2020)
  9. Ferreira, João V.; Hanaki, Nobuyuki; Tarroux, Benoît: On the roots of the intrinsic value of decision rights: experimental evidence (2020)
  10. García-Pola, Bernardo; Iriberri, Nagore; Kovářík, Jaromír: Non-equilibrium play in centipede games (2020)
  11. Giamattei, Marcus; Huber, Jürgen; Lambsdorff, Johann Graf; Nicklisch, Andreas; Palan, Stefan: Who inflates the bubble? Forecasters and traders in experimental asset markets (2020)
  12. Halim, Edward; Riyanto, Yohanes E.: Asset markets with insider trading disclosure rule and reselling constraint: an experimental analysis (2020)
  13. Hargreaves Heap, Shaun P.; Tsutsui, Kei; Zizzo, Daniel J.: Vote and voice: an experiment on the effects of inclusive governance rules (2020)
  14. Heinrich, Timo; Seifert, Matthias; Then, Franziska: Near-losses in insurance markets: an experiment (2020)
  15. Janssen, Dirk-Jan; Li, Jiangyan; Qiu, Jianying; Weitzel, Utz: The disposition effect and underreaction to private information (2020)
  16. Kayaba, Yutaka; Matsushima, Hitoshi; Toyama, Tomohisa: Accuracy and retaliation in repeated games with imperfect private monitoring: experiments (2020)
  17. Klijn, Flip; Pais, Joana; Vorsatz, Marc: Improving schools through school choice: an experimental study of deferred acceptance (2020)
  18. Li, Ying Xue; Schipper, Burkhard C.: Strategic reasoning in persuasion games: an experiment (2020)
  19. Mohlin, Erik; Östling, Robert; Wang, Joseph Tao-yi: Learning by similarity-weighted imitation in winner-takes-all games (2020)
  20. Mollerstrom, Johanna; Sunstein, Cass R.: How special is democracy? An experimental study of recommendations in the minimum effort game (2020)

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