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Amit Kothiyal

Wissenschaftlicher Mitarbeiter
+49 30 82406-273
kothiyal [at] mpib-berlin [dot] mpg [dot] de
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Alle aufklappen Curriculum Vitae

zuklappen Publikationen

Bleichrodt, H., Filko, M., Kothiyal, A., & Wakker, P. P. (2017). Making case-based decision theory directly observable. American Economic Journal: Microeconomics, 9, 123-151. doi:10.1257/mic.20150172
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Șimșek, Ö., Algórta, S., & Kothiyal, A. (2016). Why most decisions are easy in tetris - and perhaps in other sequential decision problems, as well. Proceedings of Machine Learning Research, 48.
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Aikman, D., Galesic, M., Gigerenzer, G., Kapadia, S., Katsikopoulos, K., Kothiyal, A., Murphy, E., & Neumann, T. (2014). Taking uncertainty seriously: Simplicity versus complexity in financial regulation (Financial Stability Paper / Bank of England No. 28). London: Bank of England.
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Analytis, P. P., Kothiyal, A., & Katsikopoulos, K. V. (2014). Multi-attribute utility models as cognitive search engines. Judgment and Decision Making, 9, 403-419.
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Kothiyal, A., Spinu, V., & Wakker, P. P. (2014). Average utility maximation: A preference foundation. Operations Research, 62, 207-218. doi:10.1287/opre.2013.1230

Kothiyal, A., Spinu, V., & Wakker, P. P. (2014). An experimental test of prospect theory for predicting choice under ambiguity. Journal of Risk and Uncertainty, 48, 1-17. doi:10.1007/s11166-014-9185-0
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Neth, H., Meder, B., Kothiyal, A., & Gigerenzer, G. (2014). Homo Heuristicus in the financial world: From risk management to managing uncertainty. Journal of Risk Management in Financial Institutions, 7, 134-144.
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Bleichrodt, H., Kothiyal, A., Prelec, D., & Wakker, P. P. (2013). Compound invariance implies prospect theory for simple prospects. Journal of Mathematical Psychology, 57, 68-77. doi:10.1016/j.jmp.2013.04.002
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