THRESHOLDS AND TRANSITIVITY IN STOCHASTIC CONSUMER CHOICE - A MULTINOMIAL LOGIT ANALYSIS

被引：28
|
作者：
LIOUKAS, SK
机构：
来源：
MANAGEMENT SCIENCE | 1984年 / 30卷 / 01期
关键词：
D O I：
10.1287/mnsc.30.1.110
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
引用
收藏
页码：110 / 122
页数：13
相关论文
共 50 条
  • [1] Semiparametric multinomial logit models for analysing consumer choice behaviour
    Kneib, Thomas
    Baumgartner, Bernhard
    Steiner, Winfried J.
    [J]. ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2007, 91 (03) : 225 - 244
  • [2] Semiparametric multinomial logit models for analysing consumer choice behaviour
    Thomas Kneib
    Bernhard Baumgartner
    Winfried J. Steiner
    [J]. AStA Advances in Statistical Analysis, 2007, 91 : 225 - 244
  • [3] Parameter bias from unobserved effects in the multinomial logit model of consumer choice
    Abramson, C
    Andrews, RL
    Currim, IS
    Jones, M
    [J]. JOURNAL OF MARKETING RESEARCH, 2000, 37 (04) : 410 - 426
  • [4] A multinomial logit model of floral choice
    Oppenheim, PP
    Fry, TRL
    [J]. PROCEEDINGS OF THE XXV INTERNATIONAL HORTICULTURAL CONGRESS, PT 14, 2000, (524): : 131 - 139
  • [5] MULTINOMIAL, MULTIATTRIBUTE LOGIT CHOICE MODEL
    GENSCH, DH
    RECKER, WW
    [J]. JOURNAL OF MARKETING RESEARCH, 1979, 16 (01) : 124 - 132
  • [6] HOUSING CHOICE IN A REGULATED MARKET - A NESTED MULTINOMIAL LOGIT ANALYSIS
    FISCHER, MM
    AUFHAUSER, E
    [J]. GEOGRAPHICAL ANALYSIS, 1988, 20 (01) : 47 - 69
  • [7] Stochastic prediction in multinomial logit models
    Hsu, A
    Wilcox, RT
    [J]. MANAGEMENT SCIENCE, 2000, 46 (08) : 1137 - 1144
  • [8] HOUSEHOLD FUEL CHOICE IN URBAN KENYA: A MULTINOMIAL LOGIT ANALYSIS
    Waweru, David
    Mose, Naftaly
    [J]. FINANCIAL INTERNET QUARTERLY, 2022, 18 (02) : 30 - 41
  • [9] THE USE OF MULTINOMIAL LOGIT ANALYSIS TO MODEL THE CHOICE OF TIME TO TRAVEL
    MCCAFFERTY, D
    HALL, FL
    [J]. ECONOMIC GEOGRAPHY, 1982, 58 (03) : 236 - 246
  • [10] Learning to Rank under Multinomial Logit Choice
    Grant, James A.
    Leslie, David S.
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2023, 24
12345