Consumer Dynamic Usage Allocation and Learning Under Multipart Tariffs
Published Online:20 Oct 2014https://doi.org/10.1287/mksc.2014.0877
References
- (2000) Knowledge calibration: What consumers know and what they think they know. J. Consumer Res. 27(2):123–156.Crossref, Google Scholar
- (2008) Eliciting risk and time preferences. Econometrica 76(3):583–618.Crossref, Google Scholar
- (2011) Practical methods for estimation of dynamic discrete choice models. Annu. Rev. Econom. 3(1):363–394.Crossref, Google Scholar
- (1985) The psychology of sunk cost. Organ. Behav. Human Decision Processes 35(1):124–140.Crossref, Google Scholar
- (2012) Moral hazard in health insurance: How important is forward looking behavior? NBER Working Paper 17802.Crossref, Google Scholar
- (2012) When talk is “free”: The effect of tariff structure on usage under two- and three-part tariffs. J. Marketing Res. 49(6):882–899.Crossref, Google Scholar
- (2013) Do customers learn from experience? Evidence from retail banking. Management Sci. 59(9):2019–2035.Link, Google Scholar
- (2013) How to price discriminate when tariff size matters. Marketing Sci. 32(1):111–126.Link, Google Scholar
- (2009) Mobile misperceptions. Harv. JL Tech. 23(1):49–118.Google Scholar
- (2014) Do bonuses enhance sales productivity? A dynamic structural analysis of bonus-based compensation plans. Marketing Sci. 33(2):165–187.Link, Google Scholar
- (2010) At the nexus of risk and time preferences: An experimental investigation. J. Risk Uncertainty 41(1):67–79.Crossref, Google Scholar
- (2013) The joint identification of utility and discount functions from stated choice data: An application to durable goods adoption. Quant. Marketing Econom. Forthcoming.Google Scholar
- (1996) Decision making under uncertainty: Capturing dynamic brand choice processes in turbulent consumer goods markets. Marketing Sci. 15(1):1–20.Link, Google Scholar
- (2011) Tariff choice with consumer learning and switching costs. J. Marketing Res. 48(4):633–652.Crossref, Google Scholar
- (2002) Do liquidity constraints and interest rates matter for consumer behavior? Evidence from credit card data. Quart. J. Econom. 117(1):149–185.Crossref, Google Scholar
- (2009) Selling to overconfident consumers. Amer. Econom. Rev. 99(5):1770–1807.Crossref, Google Scholar
- (2014) Consumer inattention and bill-shock regulation. Rev. Econom. Stud. Forthcoming.Google Scholar
- (2013) Cellular service demand: Biased beliefs, learning, and bill shock. Amer. Econom. Rev. Forthcoming.Google Scholar
- (1995) Who uses nutrition labeling, and what effects does label use have on diet quality? J. Nutrition Ed. 27(4):163–172.Crossref, Google Scholar
- (2002) Risk aversion and incentive effects. Amer. Econom. Rev. 92(5):1644–1655.Crossref, Google Scholar
- (2013) The welfare effects of “bill shock” regulation in mobile telecommunications markets. Working paper, Sauder School of Business, University of British Columbia, Vancouver.Google Scholar
- (1989) A probabilistic choice model for market segmentation and elasticity structure. J. Marketing Res. 26(4):379–390.Crossref, Google Scholar
- (2009) Bayesian analysis of deterministic and stochastic prisoner’s dilemma games. Judgment Decision Making 4(5):363–384.Crossref, Google Scholar
- (2006) Paying too much and being happy about it: Existence, causes and consequences of tariff-choice biases. J. Marketing Res. 43(2):212–223.Crossref, Google Scholar
- (2007) Does uncertainty matter? Consumer behavior under three-part tariffs. Marketing Sci. 26(5):698–710.Link, Google Scholar
- (2014) Contracts, biases and consumption of access services. Management Sci. 60(9):2198–2222.Link, Google Scholar
- (1977) Do those who know more also know more about how much they know? Organ. Behav. Human Performance 20(2):159–183.Crossref, Google Scholar
- (2012) Conducting behavioral research on Amazon’s Mechanical Turk. Behav. Res. Methods 44(1):1–23.Crossref, Google Scholar
- (1995) Quantal response equilibria for normal form games. Games Econom. Behav. 10(1):6–38.Crossref, Google Scholar
- (2001) Bumbling geniuses: The power of everyday reasoning in multi-stage decision making. Wharton on Making Decisions (John Wiley & Sons, New York).Google Scholar
- (2003) Choosing the wrong calling plan? Ignorance and learning. Amer. Econom. Rev. 93(1):297–310.Crossref, Google Scholar
- (1994) Approximate Bayesian inference with the weighted likelihood bootstrap. J. Roy. Statist. Soc.: Ser. B 56(1):3–48.Google Scholar
- (1985) Capacity pricing. Econometrica 53(3):545–566.Crossref, Google Scholar
- (1962) The selection of strategies in cue learning. Psych. Rev. 69(4):329–343.Crossref, Google Scholar
- (1987) Optimal replacement of GMC bus engines: An empirical model of Harold Zurcher. Econometrica 55(5):999–1033.Crossref, Google Scholar
- (2010) Alleviating the constant stochastic variance assumption in decision research: Theory, measurement, and experimental test. Marketing Sci. 29(1):1–17.Link, Google Scholar
- (2002) Bayesian measures of model complexity and fit. J. Royal Statist. Soc.: Ser. B 64(4):583–639.Crossref, Google Scholar
- (2009) What do consumers really pay on their checking and credit card accounts? Explicit, implicit, and avoidable costs. Amer. Econom. Rev. 99(2):424–429.Crossref, Google Scholar
- (2012) Determining consumers’ discount rates with field studies. J. Marketing Res. 49(6):822–841.Crossref, Google Scholar
- (2009) Learning by trial and error. Games Econom. Behav. 65(2):626–643.Crossref, Google Scholar

