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Importing z-Tree data into R

Author

Listed:
  • Kirchkamp, Oliver
Abstract
The software z-Tree is used for thousands of economic experiments worldwide. z-Tree stores experimental data in a way that minimizes the risk of losing data. However, it may be cumbersome to manually read this data into a statistical package. The purpose of the R-package zTree is to make the process of importing data from z-Tree into the statistical package R transparent, reproducible and simple.

Suggested Citation

  • Kirchkamp, Oliver, 2019. "Importing z-Tree data into R," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 1-2.
    • Handle: RePEc:eee:beexfi:v:22:y:2019:i:c:p:1-2
    DOI: 10.1016/j.jbef.2018.11.008
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    References listed on IDEAS

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    1. Roger Koenker & Achim Zeileis, 2009. "On reproducible econometric research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 833-847.
    2. Wickham, Hadley, 2011. "The Split-Apply-Combine Strategy for Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i01).
    3. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Schmidt, Dominik & Stöckl, Thomas & Palan, Stefan, 2024. "Voting for insider trading regulation. An experimental study of informed and uninformed traders’ preferences," Journal of Banking & Finance, Elsevier, vol. 169(C).
    2. repec:grz:wpsses:2021-02 is not listed on IDEAS
    3. Luciano Andreozzi & Matteo Ploner & Ali Seyhun Saral, 2019. "The Stability of Conditional Cooperation: Egoism Trumps Reciprocity in Social Dilemmas," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2019_12, Max Planck Institute for Research on Collective Goods.
    4. Mitterbacher, Kerstin & Fleiß, Jürgen & Palan, Stefan, 2024. "Reciprocity in migration policy and labor market integration: A lab experiment," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1-16.
    5. repec:grz:wpsses:2021-01 is not listed on IDEAS
    6. Merl, Robert & Palan, Stefan & Schmidt, Dominik & Stöckl, Thomas, 2023. "Insider trading regulation and trader migration," Journal of Financial Markets, Elsevier, vol. 66(C).
    7. Kerstin Mitterbacher & Stefan Palan & Jürgen Fleiß, 2024. "Intergroup cooperation in the lab: asymmetric power relations and redistributive policies," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(4), pages 877-912, November.
    8. Fidanoski, Filip & Johnson, Timothy, 2023. "A z-Tree implementation of the Dynamic Experiments for Estimating Preferences [DEEP] method," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    9. Kan Takeuchi, 2023. "ztree2stata: a data converter for z-Tree and Stata users," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 9(1), pages 136-146, June.
    10. Fink, Josef & Palan, Stefan & Theissen, Erik, 2024. "Trading frictions and the Post-earnings-announcement drift," Journal of Economics and Business, Elsevier, vol. 132(C).

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    More about this item

    Keywords

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    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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