营销科学学报 ›› 2015, Vol. 11 ›› Issue (4): 1-13.

• 论文 •    下一篇

定量营销研究中的离散选择模型及其研究进展

孙鲁平,陈宇新   

  1. 孙鲁平,中央财经大学商学院市场营销系讲师,E-mail: sunluping@gsm.pku.edu.cn。
    陈宇新,上海纽约大学商学部市场学资深教授,E-mail: yc18@nyu.edu
  • 出版日期:2015-12-01 发布日期:2016-02-04
  • 基金资助:

    本研究得到国家自然科学基金项目(71502182; 71172032)的资助,特此致谢。

Discrete Choice Model and Its Recent Advances in Marketing Science Research

Sun Luping, Chen Yuxin   

  1. Sun Luping, Business School, Central University of Finance and Economics.
    Chen Yuxin, Business, Business & Finance, NYU Shanghai.
  • Online:2015-12-01 Published:2016-02-04

摘要:

自20世纪80年代以来,离散选择模型(discrete choice models)在营销研究中被广泛地采用,三十多年来该模型为推动定量营销研究的进步发挥了不可或缺的作用。本文系统回顾和梳理了离散选择模型在定量营销研究中的应用和拓展。我们从离散选择模型的理论基础出发,介绍了传统logit和probit选择模型的基本假设和模型结构。更重要的是,我们梳理了营销学者们三十多年来为突破传统选择模型的局限性而对其所作的拓展。最后,本文指出了离散选择模型在营销研究中的应用前景和方向。本文将帮助营销学者们更好地了解离散选择模型的发展现状,并促进营销学者们对该模型作进一步改进和拓展。

关键词: 离散选择模型, logit模型, probit模型, 定量营销研究

Abstract:

Discrete choice models have been widely used in marketing research since 1980s and have played an indispensible role in advancing marketing science during the past thirty years. This paper reviews related literature that contribute to the developments and applications of discrete choice models in marketing. We review the theoretical foundations of discrete choice models and discuss the key assumptions and model features of traditional logit and probit models. Building on the discussion, we highlight the limitations of the traditional discrete choice models and the major developments over the past thirty years that extend discrete choice models to overcome those limitations. Finally, we discuss the contribution of this research and conclude the paper with thoughts on future research directions. This paper intends to help marketing science researchers better understand the discrete choice models and the recent advance of them, and encourage the further developments and applications of those models.

Key words: discrete choice model, logit model, probit model, quantitative marketing research