Experimental Economics

, Volume 17, Issue 4, pp 631–648 | Cite as

Software for continuous game experiments

  • James Pettit
  • Daniel Friedman
  • Curtis Kephart
  • Ryan Oprea
Original Paper

Abstract

ConG is software for conducting economic experiments in continuous and discrete time. It allows experimenters with limited programming experience to create a variety of strategic environments featuring rich visual feedback in continuous time and over continuous action spaces, as well as in discrete time or over discrete action spaces. Simple, easily edited input files give the experimenter considerable flexibility in specifying the strategic environment and visual feedback. Source code is modular and allows researchers with programming skills to create novel strategic environments and displays.

Keywords

Experimental economics Continuous time Software for laboratory experiments 

JEL Classification

C70 C88 C90 

Notes

Acknowledgements

This project was made possible by National Science Foundation Grant SES-0925039. We are grateful to the undergraduate programmers who contributed to this project: Joseph Allington, Pranava Adduri, Matthew Browne, Ashley Chard, Michael Cusack, Anthony Lim, Alex (Richard) Lou, Vadim Maximov, Jacob Meryett, Laker Sparks, and Sam Wolpert. Graduate researchers, including Jacopo Magnani, Luba Petersen, Jean Paul Rabanal, and undergraduate researchers Tamara Bakarian, Thomas Campbell, Cosmo Coulter, Jenelle Feole, Wade Hastings, Keith Henwood, and Richard Shall also made significant contributions. We would also like to thank Urs Fischbacher for his comments.

References

  1. Cason, T., Friedman, D., & Hopkins, E. (2013, forthcoming). Cycles and instability in a rock-paper-scissors population game: a continuous time experiment. Review of Economic Studies. Google Scholar
  2. Cox, J. C., & Swarthout, J. T. (2006). EconPort: creating and maintaining a knowledge commons. In C. Hess & E. Ostrom (Eds.), Understanding knowledge as a commons: from theory to practice. Cambridge: MIT Press. Google Scholar
  3. Fischbacher, U. (2007). Z-tree: Zurich toolbox for ready-made economic experiments. Experimental Economics, 10(2), 171–178. CrossRefGoogle Scholar
  4. Friedman, D., & Oprea, R. (2012). A continuous dilemma. The American Economic Review, 102(1), 337–363. CrossRefGoogle Scholar
  5. Goeree, J. K., & Holt, C. A. (2001). Ten little treasures of game theory and ten intuitive contradictions. The American Economic Review, 91(5), 1402–1422. CrossRefGoogle Scholar
  6. Kagel, J. H., & Roth, A. E. (1997). Handbook of experimental economics. Princeton: Princeton University Press. Google Scholar
  7. Lipps, D. B., Galecki, A. T., & Ashton-Miller, J. A. (2011). On the implications of a sex difference in the reaction times of sprinters at the Beijing Olympics. PLoS ONE, 6(10), e26141. CrossRefGoogle Scholar
  8. Oprea, R., Friedman, D., & Henwood, K. (2012). Separating the Hawks from the Doves: evidence from continuous time laboratory games. Journal of Economic Theory, 146(6), 2206–2225. CrossRefGoogle Scholar
  9. Rapoport, A., & Orwant, C. (1962). Experimental games: a review. Behavioral Science, 7, 1–37. CrossRefGoogle Scholar
  10. Schwarz, M., & Takhteyev, Y. (2010). Half a century of public software institutions: open source as a solution to hold-up problem. NBER Working Paper Series, No. 14946. Google Scholar
  11. Simon, L. K., & Stinchcombe, M. B. (1989). Extensive form games in continuous time: pure strategies. Econometrica, 57(5), 1171–1214. CrossRefGoogle Scholar
  12. Thrall, R. M., Coombs, C. H., & Davis, R. L. (1954). Decision processes. New York: Wiley. Google Scholar

Copyright information

© Economic Science Association 2014

Authors and Affiliations

  • James Pettit
    • 1
  • Daniel Friedman
    • 1
  • Curtis Kephart
    • 1
  • Ryan Oprea
    • 2
  1. 1.Economics DepartmentUniversity of California Santa CruzSanta CruzUSA
  2. 2.Department of EconomicsUniversity of California Santa BarbaraSanta BarbaraUSA

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