Welcome to the home of GIMS, the Graz-Innsbruck Market System!

GIMS is a software for asset market experiments, based on the z-Tree software platform. Feedback - including, but not limited to, suggestions for new functionality - is appreciated and should be directed to Also, if you want me to notify you when a new version becomes available, let me know by mail!


Download the latest version, including full documentation, from Mendeley Data or clone the repository from GitLab or GitHub.

Papers using GIMS (that I know of)

  • Camerer, C. F., Dreber, A., Forsell, E., Ho, T.-H., Huber, J., Johannesson, M., Kirchler, M., Almenberg, J., Altmejd, A., Chan, T., Heikensten, E., Holzmeister, F., Imai, T., Isaksson, S., Nave, G., Pfeiffer, T., Razen, M., Wu, H., 2016. Evaluating replicability of laboratory experiments in economics, Science 351(6280), 1433-1436.

  • Deck, C., Hao, L., Xu, W., Yeager, T. J., Forthcoming. Social Comparison and Wealth Inequality in a Leveraged Asset Market, Journal of Behavioral Finance, 1–21.

  • Duch, M. L., Grossmann, M. R.P., Lauer, T., 2020. z-Tree unleashed: A novel client-integrating architecture for conducting z-Tree experiments over the Internet, Journal of Behavioral and Experimental Finance, 100400.

  • Giamattei, M., Huber, J., Lambsdorff, J. G., Nicklisch, A., Palan, S., 2020. Who inflates the bubble? Forecasters and traders in experimental asset markets, Journal of Economic Dynamics and Control 110, 103718.

  • Hefti, A., Heinke, S., and Schneider, F., 2016. Mental Capabilities, Trading Styles, and Asset Market Bubbles. Theory and Experiment.

  • Huber, C., Bindra, P. C., Kleinlercher, D., 2019. Design-features of bubble-prone experimental asset markets with a constant FV, Journal of the Economic Science Association 73(2), 419.

  • Huber, J., Palan, S., Zeisberger, S., 2019. Does Investor Risk Perception Drive Asset Prices in Markets? Experimental Evidence, Journal of Banking and Finance 108(105635).

  • Marquardt, P., Noussair, C. N., Weber, M., 2019. Rational expectations in an experimental asset market with shocks to market trends, European Economic Review 114, 116–140.

  • Palan, S., Huber, J., Senninger, L., 2020. Aggregation mechanisms for crowd predictions, Experimental Economics 23, 788–814.

  • Weitzel, U., Huber, C., Huber, J., Kirchler, M., Lindner, F., Rose, J., 2020. Bubbles and Financial Professionals, The Review of Financial Studies 33(6), 2659–2696.