Galit Ashkenazi-Golan

1. Ashkenazi-Golan, G., Hernandez, P., Neeman, Z., and Solan, E., 2023  "Markovian persuasion with two states", Games and Economic Behavior, 142, 292-314.

2. Ashkenazi-Golan, G., Flesch, J., Predtetchinski, A., and Solan, E., 2023  "Regularity of the minmax value and equilibria in multiplayer Blackwell games", to appear  in Israel Journal of Mathematics.

3. Ashkenazi-Golan, G, Tsodikovich, Y., and Viossat, Y., 2023,  "I want to tell you? Maximizing revenue in first-price two-stage auctions", Economic  Theory 76, 1329-1362.

4. Ashkenazi-Golan, G., Flesch, J., Predtetchinski, A., and Solan, E., 2022  "Existence of equilibria in repeated games with long-run payoffs", Proceedings of the  National Academy of Sciences, 119(11), e2105867119

5. Ashkenazi-Golan, G., Krasikov, I., Rainer, C., and Solan, E., 2022  "Absorption paths and equilibria in quitting games", Mathematical Programming Ser. B,  1-28. https://doi.org/10.1007/s10107-022-01807-6 (online, to appear in print)

6. Ashkenazi-Golan, G, Solan, E., and Zseleva, A, 2020  "Characterizing the value functions of polynomial games", Operations Research Letters, 48, 93-95

7. Ashkenazi-Golan, G., Rainer, C., and Solan, E., 2020,  "Solving two-state Markov games with incomplete information on one side", Games and  Economic Behavior, 122, 83-104.

8. Ashkenazi-Golan, G., Flesch, J., Predtetchinski, A., and Solan, E., 2020  "Reachability and safety objectives in Markov decision processes on long but finite  horizons", Journal of Optimization Theory and Applications, 185(3), 945-965.

9. Ashkenazi-Golan, G., and Lehrer E., 2019  "What you get is what you see: Cooperation in repeated games with observable payoffs",  Journal of Economic Theory, 181, 197-237.

10. Ashkenazi-Golan, G., and Lehrer, E., 2019  "Blackwell's comparison of experiments and discounted repeated games", Games and  Economic Behavior, 117, 163-194.

Conference paper:

1. Amir, G., Arieli, I., Ashkenazi-Golan, G., and Peretz, R., 2022 "Granular DeGroot dynamics - a model for robust naive learning in social networks", Proceedings of the 23rd ACM Conference on Economics and Computation, 323-324