Items where City Author is "Ungureanu, Sergiu"
Yaman, F. ORCID: 0000-0002-5752-6922, Cubi-Molla, P. & Ungureanu, S. ORCID: 0000-0002-3707-4738 (2023). Which Decision Theory Describes Life Satisfaction Best? Evidence from Annual Panel Data. Journal of Happiness Studies, 24(3), pp. 893-916. doi: 10.1007/s10902-023-00627-5
Hening, A., Tran, K. Q. & Ungureanu, S. C. ORCID: 0000-0002-3707-4738 (2022). The effects of random and seasonal environmental fluctuations on optimal harvesting and stocking. Journal of Mathematical Biology, 84(6), article number 41. doi: 10.1007/s00285-022-01750-2
Hening, A., Tran, K. Q. & Ungureanu, S. ORCID: 0000-0002-3707-4738 (2021). The Effects of Random and Seasonal Environmental Fluctuations on Optimal Harvesting and Stocking (21/05). London, UK: Department of Economics, City, University of London.
Hening, A., Nguyen, D. H., Ungureanu, S. C. ORCID: 0000-0002-3707-4738 & Wong, T. K. (2019). Asymptotic harvesting of populations in random environments. Journal of Mathematical Biology, 78(1-2), pp. 293-329. doi: 10.1007/s00285-018-1275-1
Yaman, F. ORCID: 0000-0002-5752-6922, Cubi-Molla, P. & Ungureanu, S. (2019). Which Decision Theory Describes Life Satisfaction Best? Evidence from Annual Panel Data (19/12). London, UK: Department of Economics, City, University of London.
Ungureanu, S. (2017). Dynamic Contracting under Permanent and Transitory Private Information. International Journal of Game Theory, 46(3), pp. 667-692. doi: 10.1007/s00182-016-0552-8
Ungureanu, S. (2016). Judgements with errors lead to behavioral heuristics (16/14). London: Department of Economics, City, University of London.
Ungureanu, S. (2015). Inefficient Reallocation, Loss Aversion and Prospect Theory. London: City University London.
Ungureanu, S. (2013). Dynamic Contracting under Permanent and Transitory Private Information (13/07). London, UK: Department of Economics, City University London.
Yaman, F., Cubi-Molla, P. & Ungureanu, S. Can Behavioural Economics Be Applied To Life Satisfaction?: Evidence From Annual Panel Data. .