Consumer price effects: Loss aversion in value vs. in demand

References

• Bell, D. R., & Lattin, J. M. (2000). Looking for loss aversion in heterogeneity. Marketing Science, 19(2), 185–200. doi:10.1287/mksc.19.2.185.11802
   Web of Science ®Google Scholar
• Camerer, C. F., & Loewenstein, G. (2003). Behavioral economics: Past, present. In Camerer, C.F., G. Loewenstein, & M. Rabin (Eds.), Advances in behavioral economics. Princeton, NJ: Princeton University Press.
   Google Scholar
• Fibich, G., Gavious, A., & Lowengart, O. (2005). The dynamics of price elasticity of demand in the presence of reference price effects. Journal of the Academy of Marketing Science, 33(1), 66–78. doi:10.1177/0092070304267108
   Web of Science ®Google Scholar
• Güler, M. G., Bilgic, T., & Güllü, R. (2015). Joint pricing and inventory control for additive demand models with reference effects. Annals of Operations Research, 226(1), 255–276. doi:10.1007/s10479-014-1706-3
   Web of Science ®Google Scholar
• Halme, M., & Somervuori, O. (2013). Revisiting demand reactions to price changes. Annals of Operations Research, 211(1), 549–564. doi:10.1007/s10479-013-1350-3
   Google Scholar
• He, Y., Xu, Q., Xu, B., & Wu, P. (2016). Supply Chain coordination in quality improvement with reference effects. Journal of the Operational Research Society, 67(9), 1158–1168. doi:10.1057/jors.2016.10
   Web of Science ®Google Scholar
• Hu, Z., Chen, X., & Hu, P. (2016). Technical note – Dynamic pricing with gain-seeking reference price effects. Operations Research, 64(1), 150–157. doi:10.1287/opre.2015.1445
   Web of Science ®Google Scholar
• Hu, Z. Y., & Nasiry, J. (2018). Are markets with loss – Averse consumers more sensitive to losses?. Management Science, 64(3), 1384–1395. doi:10.1287/mnsc.2016.2678
   Web of Science ®Google Scholar
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–292. doi:10.2307/1914185
   Web of Science ®Google Scholar
• Lee, C. H., Choi, T. C. E., & Cheng, T.C.E. (2015). Selling to strategic and loss? Averse consumers: Stocking, procurement, and product design policies. Naval Research Logistics (NRL), 62(6), 435–453. doi:10.1002/nav.21643
   Web of Science ®Google Scholar
• Ma, L., Weili, X., Zhao, Y., & Zeng, Q. (2016). Loss-averse newsvendor problem with supply risk. Journal of the Operational Research Society, 67(2), 214–228. doi:10.1057/jors.2015.22
   Web of Science ®Google Scholar
• Mandal, P., Kaul, R., & Jain, T. (2018). Stocking and pricing decisions under endogenous demand and reference price effects. European Journal of Operational Research, 264(1), 181–199. doi:10.1016/j.ejor.2017.05.053
   Web of Science ®Google Scholar
• Mazumdar, T., Raj, S. P., & Sinha, I. (2005). Reference price research: Review and propositions. Journal of Marketing, 69(4), 84–102. doi:10.1509/jmkg.2005.69.4.84
   Web of Science ®Google Scholar
• McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in econometrics. New York: Academic Press, Inc.
   Google Scholar
• McFadden, D., & Train, K. (2000). Mixed MNL models for discrete response. Journal of Applied Econometrics, 15(5), 447–470. doi:10.1002/1099-1255(200009/10)15:5<447::AID-JAE570>3.0.CO;2-1
   Web of Science ®Google Scholar
• Monroe, K. (2003). Pricing – Making profitable decisions. New York: McGraw-Hill/Irwin.
   Google Scholar
• Nasiry, J., & Popescu, I. (2011). Dynamic pricing with loss-averse consumers and peak-end anchoring. Operations Research, 59(6), 1361–1368. doi:10.1287/opre.1110.0952
   Web of Science ®Google Scholar
• Popescu, I., & Wu, Y. (2007). Dynamic pricing strategies with reference effects. Operations Research, 55(3), 413–429. doi:10.1287/opre.1070.0393
   Web of Science ®Google Scholar
• Tversky, A., & Kahneman, D. (1991). Loss aversion in riskless choice: A reference-dependent model. The Quarterly Journal of Economics, 106(4), 1039–1061. doi:10.2307/2937956
   Web of Science ®Google Scholar
• Yang, L., Guo, P., & Wang, Y. (2018). Service pricing with loss-averse customers. Operations Research, 66(3), 761–777. doi:10.1287/opre.2017.1702
   Web of Science ®Google Scholar
• Zhou, Y., Chan, C. K., & Wong, K. H. (2018). A multi-period supply chain network equilibrium model considering retailers’ uncertain demands and dynamic loss-averse behaviors. Transportation Research Part E, 118(C), 51–76. doi:10.1016/j.tre.2018.06.006
   Google Scholar