The DOI matches its Crossref record.
Individual choice behavior: A theoretical analysis.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This follows the Bradley-Terry model (Bradley and Terry, 1952) for estimating score functions from pairwise preferences, and is the specialization of the Luce-Shephard choice rule (Luce, 2005; Shepard, 1957) to preferences over trajectory segments.”
From Deep reinforcement learning from human preferences (2017) · cites this paper as Luce, 2005
In the citing paper
“Research into human choice suggests that both explicit and implicit choices systematically vary based on context, especially the other options that are present when choosing [56–59].”
From Evolution and impact of bias in human and machine learning algorithm interaction (2020) · cites this paper as [56]
Citations
Cited by
Sorted by citations
Items 101–200 of 999
Joint Inventory and Pricing Decisions for an Assortment
Aydın, G., & Porteus, E. L. (2008) · Operations Research · doi:10.1287/opre.1080.0562 · Cited by 184
“The pioneers of research on joint inventory and pricing decisions for a single product were Whitin (1955), Mills (1959), and Karlin and Carr (1962).”
BackgroundResultGallego, G., Ratliff, R. M., & Shebalov, S. (2014) · Operations Research · doi:10.1287/opre.2014.1328 · Cited by 169
“Luce (1959) proposed two choice axioms.”
BackgroundMethodInfluentialA Range-Normalization Model of Context-Dependent Choice: A New Model and Evidence
Soltani, A., Martino, B. D., & Camerer, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002607 · Cited by 177
Adaptive learning and risk taking.
Denrell, J. C. (2007) · Psychological Review · doi:10.1037/0033-295x.114.1.177 · Cited by 180
“Specifically, the probability of choosing the uncertain alternative in period t 1 is assumed to follow the exponential version of the Luce choice rule (Luce, 1959): Pt 1 1/(1 e Sx̂t).2 Here S is a parameter regulating how sensitive the choice probability is to the value of the estimate.”
BackgroundThe Effects of Travel Barriers and Age on the Utilization of Alcoholism Treatment Aftercare
Fortney, J. C., Booth, B. M., Blow, F. C., Bunn, J. Y., & Cook, C. A. L. (1995) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952999509002705 · Cited by 174
Choice Experiments to Quantify Preferences for Health and Healthcare: State of the Practice
Mühlbacher, A. C., & Johnson, F. R. (2016) · Applied Health Economics and Health Policy · doi:10.1007/s40258-016-0232-7 · Cited by 179
Bayesian inference for Plackett-Luce ranking models
Guiver, J., & Snelson, E. (2009) · International Conference on Machine Learning · doi:10.1145/1553374.1553423 · Cited by 169
“The Plackett-Luce distribution derives its name from independent work by Plackett (1975) and Luce (1959).”
BackgroundInfluentialDisentangling decision models: From independence to competition.
Teodorescu, A. R., & Usher, M. (2013) · Psychological Review · doi:10.1037/a0030776 · Cited by 165
Lin, R., Kraus, S., Wilkenfeld, J., et al. (2007) · Artificial Intelligence · doi:10.1016/j.artint.2007.09.007 · Cited by 167
“In addition, the Luce numbers are used to estimate the probability of the agent accepting an offer, following Luce’s choice axiom models, which assign a probability to each offer [15].”
BackgroundMethodBeyond Social Contagion: Associative Diffusion and the Emergence of Cultural Variation
Goldberg, A., & Stein, S. K. (2018) · American Sociological Review · doi:10.1177/0003122418797576 · Cited by 160
Irrational decision-making in an amoeboid organism: transitivity and context-dependent preferences
Latty, T. M., & Beekman, M. (2010) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2010.1045 · Cited by 164
Price Dispersion in the Lab and on the Internet: Theory and Evidence
Baye, M. R., & Morgan, J. W. (2004) · The RAND Journal of Economics · doi:10.2307/1593702 · Cited by 161
“Alternatively, nondegenerate price distributions might be viewed as thought of as resulting from decision errors (Luce, 1959).”
BackgroundExploring long-term modality effects: Vocalization leads to best retention
Gathercole, S. E., & Conway, M. (1988) · Memory & Cognition · doi:10.3758/bf03213478 · Cited by 160
The Demand for Employment-Based Health Insurance Plans
Feldman, R. D., Finch, M. D., Dowd, B. E., & Cassou, S. P. (1989) · The Journal of Human Resources · doi:10.2307/145935 · Cited by 158
“The point has been noted by McFadden and Luce (1959), among others.”
BackgroundCompromise and Attraction Effects under Prevention and Promotion Motivations
Mourali, M., Böckenholt, U., & Laroche, M. (2007) · Journal of Consumer Research · doi:10.1086/519151 · Cited by 157
Enhancing Discrete Choice Demand Modeling for Decision-Based Design
Wassenaar, H. J., Chen, W., Cheng, J., & Sudjianto, A. (2004) · Journal of Mechanical Design · doi:10.1115/1.1897408 · Cited by 156
The temporal triangle: Response substitution in instrumental conditioning.
Rachlin, H. C., & Burkhard, B. (1978) · Psychological Review · doi:10.1037/0033-295x.85.1.22 · Cited by 156
Discrete Choice Models with Applications to Departure Time and Route Choice
Ben-Akiva, M. E., & Bierlaire, M. (2006) · Kluwer Academic Publishers eBooks · doi:10.1007/0-306-48058-1_2 · Cited by 160
Learning Mallows Models with Pairwise Preferences
Lu, T., & Boutilier, C. E. (2011) · Cited by 152
AMBIENT LIGHTING MODIFIES THE FLAVOR OF WINE
Oberfeld, D., Hecht, H., ALLENDORF, U., & Wickelmaier, F. (2009) · Journal of Sensory Studies · doi:10.1111/j.1745-459x.2009.00239.x · Cited by 159
“The data were then analyzed using the Bradley–Terry–Luce (BTL) model (Bradley and Terry 1952; Luce 1959).”
Computational Models of Decision Making
Busemeyer, J. R., & Johnson, J. G. (2004) · Wiley eBooks · doi:10.1002/9780470752937.ch7 · Cited by 151
“This robust empirical finding eliminates a large class of probabilistic choice models called simple scalability models, which includes for example, Luce’s (1959) ratio of strength model. Tversky (1972) elegantly explained these results with a theory he called the elimination by aspects model of choice.”
InfluentialRandom Choice as Behavioral Optimization
Gül, F., Natenzon, P., & Pesendorfer, W. (2014) · Econometrica · doi:10.3982/ecta10621 · Cited by 135
“The Luce rule (Luce (1959)) is a well-known behavioral optimization model that retains the simplicity of a deterministic theory.”
BackgroundInfluentialExtremeness Aversion and Attribute-Balance Effects in Choice
Chernev, A. (2004) · Journal of Consumer Research · doi:10.1086/422105 · Cited by 148
Substitutability in time allocation.
Rachlin, H. C., Kagel, J. H., & Battalio, R. C. (1980) · Psychological Review · doi:10.1037/0033-295x.87.4.355 · Cited by 148
Cognitive modeling of decision making in sports
Johnson, J. G. (2006) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2006.03.009 · Cited by 165
Accessing safe drinking water in sub-Saharan Africa: Issues and challenges in South–West Nigeria
Emenike, P. C., Tenebe, I. T., Omole, D. O., Ngene, B. U., Oniemayin, B. I., Omeje, M., & Onoka, B. I. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.01.005 · Cited by 142
Probabilistic choice and procedurally bounded rationality
Mattsson, L., & Weibull, J. W. (2002) · Games and Economic Behavior · doi:10.1016/s0899-8256(02)00014-3 · Cited by 142
Modeling Bounded Rationality in Capacity Allocation Games with the Quantal Response Equilibrium
Chen, Y., Su, X., & Zhao, X. (2012) · Management Science · doi:10.1287/mnsc.1120.1531 · Cited by 136
“In this paper, we consider bounded rationality in capacity allocation games using the notion of quantal choice (Luce, 1959): all possible choice alternatives are candidates for selection, but more attractive alternatives (yielding higher utility) are chosen with larger probability.”
Criterial range as a frame of reference for stimulus judgment.
Gravetter, F. J., & Lockhead, G. R. (1973) · Psychological Review · doi:10.1037/h0034281 · Cited by 136
Memory storage and retrieval processes in category learning.
Estes, W. K. (1986) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.115.2.155 · Cited by 134
Who's #1?: the science of rating and ranking
(2012) · Choice Reviews Online · doi:10.5860/choice.49-6935 · Cited by 133
Probabilistic models of set-dependent and attribute-level best–worst choice
Marley, A. A. J., Flynn, T. N., & Louviere, J. J. (2008) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2008.02.002 · Cited by 131
“Then, by assumption, the relative importance weights in (25) satisfy the constant ratio property of the Luce (or MNL) choice model (Luce, 1959/2005) - in particular, for every partial profile Π and all attributes i, j ∈ {1, ...,m} that occur in the partial profile Π, βi(Π) βj(Π) = βi βj ,…”
BackgroundMethodA model of tourist choices of hypothetical Caribbean destinations
Haider, W., & Ewing, G. O. (1990) · Leisure Sciences · doi:10.1080/01490409009513088 · Cited by 130
Contest functions: Theoretical foundations and issues in estimation
Jia, H., Skaperdas, S., & Vaidya, S. (2012) · International Journal of Industrial Organization · doi:10.1016/j.ijindorg.2012.06.007 · Cited by 128
“Luce (1959) first axiomatized probabilistic choice functions such as those in (2) relation to utility theory, while Skaperdas (1996) provided an axiomatization in relation to contests and conflict.”
BackgroundA Measure of Rationality and Welfare
Apesteguía, J., & Ballester, M. A. (2015) · Journal of Political Economy · doi:10.1086/683838 · Cited by 128
“Classic references for this class of models are Luce ð1959Þ and McFadden ð1974Þ.”
What sort of measurement is psychophysical measurement?
Luce, R. D. (1972) · American Psychologist · doi:10.1037/h0032677 · Cited by 128
Self-citationBounded Rationality in Service Systems
Huang, T., Allon, G., & Bassamboo, A. (2011) · Manufacturing & Service Operations Management · doi:10.1287/msom.1120.0417 · Cited by 109
“As we mentioned in §2, McKelvey and Palfrey (1995) actually follow this approach in bimatrix game settings and Bajari and Hortacsu (2005) in auction settings.”
InfluentialA Simultaneous Axiomatization of Utility and Subjective Probability
Bolker, E. D. (1967) · Philosophy of Science · doi:10.1086/288171 · Cited by 123
Mauracher, C., Tempesta, T., & Vecchiato, D. (2012) · Appetite · doi:10.1016/j.appet.2012.12.009 · Cited by 139
How to Analyze Paired Comparison Data
Tsukida, K., & Gupta, M. R. (2011) · Cited by 122
Behavioral Priors for Detection and Tracking of Pedestrians in Video Sequences
Antonini, G., Venegas-Martinez, S., Bierlaire, M., & Thiran, J. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-005-4797-0 · Cited by 123
“These models have been extensively used in econometrics (Luce, 1959; McFadden, 1997; Manski and McFadden, 1981; Koning, 1991; Koning and Ridder, 1994; Hensher and Johnson, 1981) and transportation science (Ben-Akiva and Lerman, 1985, Ben-Akiva and Bierlaire, 1999; Ben-Akiva et al.”
MethodCompetition for attention in the Information (overload) Age
Anderson, S. P., & de Palma, A. (2012) · The RAND Journal of Economics · doi:10.1111/j.1756-2171.2011.00155.x · Cited by 126
“π Θ+1 ≤ 3 Θ− 1 ́φ−1μX Θ θ0=1 π −1 φ−1 θ0 ¶−(φ−1) < π Θ (10)”
BackgroundInfluentialReasoning in Reference Games: Individual- vs. Population-Level Probabilistic Modeling
Franke, M., & Degen, J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0154854 · Cited by 115
Rubinstein, A., & Salant, Y. (2006) · Econstor (Econstor) · Cited by 144
Salomon, J. A. (2003) · Population Health Metrics · doi:10.1186/1478-7954-1-12 · Cited by 119
Bierlaire, M. (1998) · Springer eBooks · doi:10.1007/978-3-662-03514-6_9 · Cited by 133
Spatial statistics and attentional dynamics in scene viewing
Engbert, R., Trukenbrod, H. A., Barthelmé, S., & Wichmann, F. A. (2015) · Journal of Vision · doi:10.1167/15.1.14 · Cited by 116
“Among the lattice positions with negative activations, we implemented stochastic selection of saccade targets proportional to relative activations, also known as Luce’s choice rule (Luce, 1959).”
MethodEfficient Bayesian Inference for Generalized Bradley–Terry Models
Caron, F., & Arnaud Doucet, B. (2012) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2012.638220 · Cited by 116
“We now consider the popular Plackett-Luce model (Luce, 1959; Plackett, 1975) which is an extension of the Bradley-Terry model to comparisons involving more than two elements.”
BackgroundMethodInfluentialEvolution and impact of bias in human and machine learning algorithm interaction
Sun, W., Nasraoui, O., & Shafto, P. (2020) · PLOS ONE · doi:10.1371/journal.pone.0235502 · Cited by 116
Paulus, M. P., Feinstein, J. S., Simmons, A., & Stein, M. B. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.02.023 · Cited by 115
“…to which people are sensitive to feedback varies widely and might be a basis for large interindividual decisionmaking differences (for review, see Luce 1959; Mellers et al BIOL PSYCHIATRY 2004;55:1179–1187 © 2004 Society of Biological Psychiatry 1 i i p n i i e c c c t a d a c c p ( p p l i…”
BackgroundInfluentialProbabilistic Semantics and Pragmatics Uncertainty in Language and Thought
Goodman, N. D., & Lassiter, D. (2015) · Wiley eBooks · doi:10.1002/9781118882139.ch21 · Cited by 115
“Page: 26 job: Goodman-HCS-final macro: handbook.cls date/time: 25-Jun-2014/8:41 Thus, the speaker function describes a speaker who chooses utterances using a soft-max rule P (utt) ∝ e αU (utt) (Luce, 1959; Sutton & Barto, 1998).”
MethodAesthetic issues in spatial composition: effects of position and direction on framing single objects
Wickens, T. D., Palmer, S., & Gardner, J. P. (2008) · Spatial Vision · doi:10.1163/156856808784532662 · Cited by 113
“Because of concern about statistical assumptions for probabilities, we also analysed the choice by computing Bradley–Terry–Luce (BTL) scale values from the 2AFC data for each participant (Bradley and Terry, 1952; Luce, 1959) (see Note 5).”
Making trade-offs: A probabilistic and context-sensitive model of choice behavior.
Gonzalez-Vallejo, C. C. (2002) · Psychological Review · doi:10.1037/0033-295x.109.1.137 · Cited by 121
A Preference‐Opportunity‐Choice Framework with Applications to Intergroup Friendship
Zeng, Z., & Xie, Y. (2008) · American Journal of Sociology · doi:10.1086/592863 · Cited by 112
“…where the decision maker follows a set of decision rules such as utility maximization or independence of irrelevant alternatives in making choices (Luce 1959; McFadden 1974; Ben-Akiva and Lerman 1985; Pudney 1989).13 Although the log-linear model is usually not regarded as a choice model,…”
Quadrant of euphoria: a crowdsourcing platform for QoE assessment
Chen, K.-T., Chang, C.-J., Wu, C., et al. (2010) · IEEE Network · doi:10.1109/mnet.2010.5430141 · Cited by 112
“For our purposes, it is asserted that preference is a transitive relation; that is, if some participant prefers A to B and B to C, than he will normally prefer A to C.”
BackgroundHattori, M., & Oaksford, M. (2007) · Cognitive Science · doi:10.1080/03640210701530755 · Cited by 116
“Rarity and equiprobability have also emerged as important factors in other areas, in particular, in Oaksford and Chater’s (1994) information gain model of data selection (see also Hattori, 2002).”
BackgroundGradable adjectives, vagueness, and optimal language use: A speaker-oriented model
Qing, C., & Franke, M. (2015) · Proceedings from Semantics and Linguistic Theory · doi:10.3765/salt.v24i0.2412 · Cited by 111
“For example, Beta(3,7) is a distribution on an open scale that roughly corresponds to cheap and expensive.9 Fig.”
InfluentialStrauss, T. J., Harris, H. D., & Magnuson, J. S. (2007) · Behavior Research Methods · doi:10.3758/bf03192840 · Cited by 111
“The jTRACE graphing panel (Figure 2), generates flexible graphs of phoneme or word unit activations or Luce choice rule response probabilities (Luce, 1959).”
MethodAssortment Planning under the Multinomial Logit Model with Totally Unimodular Constraint Structures
Davis, J. M., Gallego, G., & Topaloğlu, H. (2013) · Cited by 108
Natenzon, P. (2018) · Journal of Political Economy · doi:10.1086/700762 · Cited by 102
Capacity Constraints Across Nests in Assortment Optimization Under the Nested Logit Model
Feldman, J. B., & Topaloğlu, H. (2015) · Operations Research · doi:10.1287/opre.2015.1383 · Cited by 97
“A popular approach for modeling customer choice is to use the multinomial logit model, dating back to the work of Luce (1959) and McFadden (1974).”
Item Response Models for Forced-Choice Questionnaires: A Common Framework
Brown, A. (2014) · Psychometrika · doi:10.1007/s11336-014-9434-9 · Cited by 110
Learning Reward Functions by Integrating Human Demonstrations and Preferences
Palan, M., Shevchuk, G., Landolfi, N. C., & Sadigh, D. (2019) · Robotics: Science and Systems · doi:10.15607/rss.2019.xv.023 · Cited by 106
“Specifically, we assume that the human selects her ranking according to the Plackett-Luce model [31, 34] from discrete choice theory, which is widely applied to model noisy human behavior [20, 21, 33].”
MethodFailing to Choose the Best Price: Theory, Evidence, and Policy
Grubb, M. D. (2015) · Review of Industrial Organization · doi:10.1007/s11151-015-9476-x · Cited by 106
“a stochastic choice interpretation of a random utility model, such as Luce’s (1959) interpretation of the multinomial logit model.”
MethodLeland, D. S., & Paulus, M. (2005) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2004.10.001 · Cited by 109
Quantifying Aesthetic Form Preference in a Utility Function
Orsborn, S., Cagan, J., & Boatwright, P. (2008) · doi:10.1115/detc2008-49295 · Cited by 105
An integrative account of constraints on cross-situational learning
Yurovsky, D., & Frank, M. C. (2015) · Cognition · doi:10.1016/j.cognition.2015.07.013 · Cited by 97
“This formulation is equivalent to using Luce's (Luce, 1959) Choice Axiom with the target having strength MðLoÞ þ 1ÀMðLo Þ jOj and each competitor having strength 1ÀMðLo Þ jOj . possibilities, learners represent more.”
Orbitofrontal Cortex and the Computation of Economic Value
Padoa‐Schioppa, C. (2007) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1401.011 · Cited by 109
Enhancing marketing with engineering: Optimal product line design for heterogeneous markets
Michalek, J. J., Ebbes, P., Adıgüzel, F., Feinberg, F. M., & Papalambros, P. Y. (2011) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2010.08.001 · Cited by 109
Preferences, prices, and ratings in risky decision making.
Mellers, B. A., Chang, S. J., Birnbaum, M. H., et al. (1992) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.18.2.347 · Cited by 105
The role of partial knowledge in statistical word learning
Yurovsky, D., Fricker, D., Yu, C., & Smith, L. B. (2013) · Psychonomic Bulletin & Review · doi:10.3758/s13423-013-0443-y · Cited by 109
“One way of using the distributional information is to measure the proportion of associative strength for w and all objects accounted for by a particular object o—that is, to normalize each cell by the sum of its row (Luce, 1959).”
MethodNeural Computations Mediating One-Shot Learning in the Human Brain
Lee, S. W., O’Doherty, J. P., & Shimojo, S. (2015) · PLoS Biology · doi:10.1371/journal.pbio.1002137 · Cited by 111
“The fourth parameter, the inverse temperature, determines the degree of relaxation for softmax operation [46].”
BackgroundMethodGallego, G., Huh, W. T., Kang, W., et al. (2006) · Manufacturing & Service Operations Management · doi:10.1287/msom.1060.0115 · Cited by 104
“Luce (1959) has shown that the attraction demand model (1) can be derived axiomatically based on simple assumptions about consumer behavior.”
BackgroundA New Class of Market Share Models
Batsell, R. R., & Polking, J. C. (1985) · Marketing Science · doi:10.1287/mksc.4.3.177 · Cited by 103
Should Reference Alternatives in Pivot Design SC Surveys be Treated Differently?
Hess, S., & Rose, J. M. (2008) · Environmental and Resource Economics · doi:10.1007/s10640-008-9244-6 · Cited by 110
“Almost three decades after Luce (1959) developed the logit model and thirteen years after McFadden (1974) demonstrated that the probabilities of logit models imply that the unobserved utility are distributed extreme value type I, Bockstael et al. (1987, 1991) employed discrete choice models to…”
BackgroundMens, G. L., & Denrell, J. C. (2011) · Psychological Review · doi:10.1037/a0023010 · Cited by 99
“As demonstrated by Denrell (2005), it is possible to derive this conclusion formally if belief formation and choice are assumed to follow well-known heuristic models, such as the delta rule and the Luce choice rule (Luce, 1959).”
BackgroundNeurobiology of Decision Making
Shadlen, M. N., Kiani, R., Hanks, T. D., & Churchland, A. K. (2008) · The MIT Press eBooks · doi:10.7551/mitpress/7735.003.0007 · Cited by 134
Probabilistic pragmatics, or why Bayes’ rule is probably important for pragmatics
Franke, M., & Jäger, G. (2016) · Zeitschrift für Sprachwissenschaft · doi:10.15496/publikation-14148 · Cited by 98
Constantino, S. M., Schlüter, M., Weber, E. U., & Wijermans, N. (2021) · Sustainability Science · doi:10.1007/s11625-021-00989-w · Cited by 119
Rationally Inattentive Behavior: Characterizing and Generalizing Shannon Entropy
Caplin, A., Dean, M. R. W., & Leahy, J. V. (2017) · National Bureau of Economic Research · doi:10.3386/w23652 · Cited by 98
Short-term gains, long-term pains: How cues about state aid learning in dynamic environments
Gureckis, T. M., & Love, B. C. (2009) · Cognition · doi:10.1016/j.cognition.2009.03.013 · Cited by 98
“In general, the probability of choosing option ai is an increasing function of the estimated value of that action, QðaiÞ, relative to the other action (Luce, 1959).”
BackgroundA dynamic homotopy interpretation of the logistic quantal response equilibrium correspondence
Turocy, T. L. (2004) · Games and Economic Behavior · doi:10.1016/j.geb.2004.04.003 · Cited by 97
“This concept applies a quantal choice model inated by Luce (1959), to interpret mixed strategy profiles as the observed distrib of strategy choices when the players observe payoffs with a random additive shoc E-mail address: turocy@econmail.tamu.edu.”
MethodDynamics of activation of semantically similar concepts during spoken word recognition
Mirman, D., & Magnuson, J. S. (2009) · Memory & Cognition · doi:10.3758/mc.37.7.1026 · Cited by 96
Influence of Soldout Products on Consumer Choice
Ge, X., Messinger, P. R., & Li, J. (2009) · Journal of Retailing · doi:10.1016/j.jretai.2009.05.009 · Cited by 96
“Keywords: Soldout product; Choice deferral; Immediacy effect; Informational cascades Seinfeld, Episode 119, “The Sponge” ELAINE: Well, Kramer was right.”
BackgroundPhoneme similarity and confusability
Bailey, T. M., & Hahn, U. (2005) · Journal of Memory and Language · doi:10.1016/j.jml.2004.12.003 · Cited by 96
“These ratios can be interpreted as a case of Luces choice rule (R. D. Luce, 1959 ), applied to a response scale measured in featural differences:”
BackgroundMethodHerding in Queues with Waiting Costs: Rationality and Regret
Veeraraghavan, S. K., & Debo, L. G. (2011) · Manufacturing & Service Operations Management · doi:10.1287/msom.1100.0322 · Cited by 84
“(For detailed development of bounded rationality, refer to Rubinstein (1998) or the quantal choice framework propounded by Luce (1959).) Our specific behavioral assumption is as follows: because computing the joint probability distribution of the two-dimensional queueing system is a complex and critical task that rati…”
BackgroundCapacitated Assortment Optimization: Hardness and ApproximationPreprint
Désir, A., Goyal, V., & Zhang, J. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2543309 · Cited by 82
“It was introduced independently by Luce (1959) and Plackett (1975) and was referred to as the Plackett-Luce model.”
MethodMcCall, C., Blascovich, J., Young, A. F., & Persky, S. (2009) · Social Influence · doi:10.1080/15534510802517418 · Cited by 93
“Luce’s Choice Model (Luce, 1959) was used to derive scale values for each zone across the 72 participants.”
MethodReassessing Brand Loyalty, Price Sensitivity, and Merchandising Effects on Consumer Brand Choice
Allenby, G. M., & Lenk, P. (1995) · Journal of Business and Economic Statistics · doi:10.1080/07350015.1995.10524602 · Cited by 95
Bıyık, E., Losey, D. P., Palan, M., Landolfi, N. C., Shevchuk, G., & Sadigh, D. (2021) · The International Journal of Robotics Research · doi:10.1177/02783649211041652 · Cited by 95
“This model, backed by neuroscience and psychology (Daw et al. 2006; Luce 2012; Ben-Akiva et al. 1985; Lucas et al. 2009), is routinely used (Biyik et al.”
Methodde Alfaro, L., & Shavlovsky, M. (2014) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/2538862.2538900 · Cited by 92
“Consequently, we thought that asking students to rank the submissions they reviewed would lead to more precise results than grading; an extensive body of literature attests to the fact that precise global rankings can be obtained by merging partial rankings [7, 1, 3, 11, 9, 10, 8].”
BackgroundInterdependent sampling and social influence.
Denrell, J. C., & Mens, G. L. (2007) · Psychological Review · doi:10.1037/0033-295x.114.2.398 · Cited by 97
“A simple model of such a choice process is the exponential version of the Luce choice model (Luce, 1959).”
MethodContext Effects without a Context: Attribute Balance as a Reason for Choice
Chernev, A. (2005) · Journal of Consumer Research · doi:10.1086/432231 · Cited by 90
“0093-5301/2005/3202-0004$10.00”
InfluentialThe dynamics of cognition: An ACT-R model of cognitive arithmetic
Lebiere, C. J. (1999) · Kognitionswissenschaft · doi:10.1007/bf03354932 · Cited by 101
“This result is a variant of Luce’s Choice Axiom (Luce 1959).”
BackgroundAn interference account of cue-independent forgetting in the no-think paradigm
Tomlinson, T. D., Huber, D. E., Rieth, C. A., & Davelaar, E. J. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813370106 · Cited by 91
Time Will Tell: Recovering Preferences When Choices Are Noisy
Alós‐Ferrer, C., Fehr, E., & Netzer, N. (2018) · Journal of Political Economy · doi:10.1086/713732 · Cited by 102
“Our paper is related to the vast empirical and theoretical literature on RUMs, which have a long history going back to Thurstone (1927), Luce (1959), and Marschak (1960). These models became more widely used in economics afterMcFadden (1974; see alsoMcFadden 2001).”
BackgroundInfluentialLuan, X., Cheng, L., Song, Y., et al. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101968 · Cited by 90
A Testable Theory of Imperfect Perception
Caplin, A., & Martin, D. (2014) · The Economic Journal · doi:10.1111/ecoj.12130 · Cited by 95
A Model and Measurement Methodology for Predicting Individual Consumer Choice
Batsell, R. R., & Lodish, L. M. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800101 · Cited by 94
The weakness of strong ties: Sampling bias, social ties, and nepotism in family business succession
Liu, C., Eubanks, D. L., & Nick Chater, A. (2015) · The Leadership Quarterly · doi:10.1016/j.leaqua.2015.02.007 · Cited by 90
Metadata
- Authors
- Luce, R. D.
- Affiliations
- University of California, Irvine (US)
- Corresponding author
- Luce, R. Duncan
- Venue
- Dover Publications eBooks
- Publisher
- Dover Publications
- Published
- 2005
- OpenAlex
- W2094536313
- Cited by
- 1,157
- References
- 0
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 18 · 2023: 36 · 2022: 27 · 2021: 55 · 2020: 43 · 2019: 51 · 2018: 45 · 2017: 35 · 2016: 48 · 2015: 81 · 2014: 74 · 2013: 68 · 2012: 53
- FWCI
- 20.89
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Dover Publications eBooks (publishedVersion)
- Funders
- National Science Foundation (NSF-G2803)
- Office of Naval Research (G-4506)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Theory and Institutions
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
- Keywords
- decision-making, choice theory, consumer behavior, utility maximization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
