Endogeneity bias in marketing research: Problem, causes and remedies

被引:195
|
作者
Zaefarian, Ghasem [1 ]
Kadile, Vita [1 ]
Henneberg, Stephan C. [2 ]
Leischnig, Alexander [3 ]
机构
[1] Univ Leeds, Leeds Univ Business Sch, Maurice Keyworth Bldg, Leeds LS2 9JT, W Yorkshire, England
[2] Queen Maly Univ London, Sch Business & Management, Business Ecosyst Res Grp, London E1 4NS, England
[3] Univ Bamberg, Feldkirchenstr 21, D-96052 Bamberg, Germany
关键词
INSTRUMENTAL VARIABLES; GENERALIZED-METHOD; MODERATING ROLE; PERFORMANCE; CUSTOMER; IMPACT; TRUST; IDENTIFICATION; ALLIANCES; ERROR;
D O I
10.1016/j.indmarman.2017.05.006
中图分类号
F [经济];
学科分类号
02 ;
摘要
Endogeneity bias represents a critical issue for the analysis of cause and effect relationships. Although the existence of endogeneity can produce severely biased results, it has hitherto received only limited attention from researchers in marketing and related disciplines. Thus, this article aims to sensitize researchers intending to publish in the Industrial Marketing Management (IMM) journal to the topic of endogeneity. It outlines the problem of endogeneity bias, and provides an overview of potential sources, i.e. omission of variables, errors-in-variables, and simultaneous causality. Furthermore, the article shows ways to deal with endogeneity, including techniques based on instrumental variables as well as instrument-free approaches. Our methodological contribution relates to providing researchers aiming to publish in IMM with an initial overview of the causes of and remedies for endogeneity bias, which should be considered in designing research projects as well as when analysing data to obtain insights into cause and effect relationships (causal models).
引用
收藏
页码:39 / 46
页数:8
相关论文
共 50 条
  • [21] Implicit-Bias Remedies: Treating Discriminatory Bias as a Public-Health Problem
    Greenwald, Anthony G.
    Dasgupta, Nilanjana
    Dovidio, John F.
    Kang, Jerry
    Moss-Racusin, Corinne A.
    Teachman, Bethany A.
    [J]. PSYCHOLOGICAL SCIENCE IN THE PUBLIC INTEREST, 2022, 23 (01) : 7 - 40
  • [22] Bayesian endogeneity bias modeling
    Montes-Rojas, Gabriel
    Galvao, Antonio F.
    [J]. ECONOMICS LETTERS, 2014, 122 (01) : 36 - 39
  • [23] Endogeneity bias and growth regressions
    Hauk, William R., Jr.
    [J]. JOURNAL OF MACROECONOMICS, 2017, 51 : 143 - 161
  • [24] Endogeneity bias in the absence of unobserved heterogeneity
    Berg, GD
    Mansley, EC
    [J]. ANNALS OF EPIDEMIOLOGY, 2004, 14 (08) : 561 - 565
  • [25] Citation Errors in Scientific Research and Publications: Causes, Consequences, and Remedies
    Agarwal, Ashok
    Arafa, Mohamed
    Avidor-Reiss, Tomer
    Hamoda, Taha Abo-Almagd Abdel-Meguid
    Shah, Rupin
    [J]. WORLD JOURNAL OF MENS HEALTH, 2023, 41 (03): : 461 - 465
  • [26] RESPONSE RATE AND RESPONSE BIAS IN MARKETING RESEARCH
    Ocal, Yasemin
    Babin, Barry J.
    [J]. LOOKING FORWARD, LOOKING BACK: DRAWING ON THE PAST TO SHAPE THE FUTURE OF MARKETING, 2016, : 714 - 714
  • [27] The persistence of underpowered studies in psychological research: Causes, consequences, and remedies
    Maxwell, SE
    [J]. PSYCHOLOGICAL METHODS, 2004, 9 (02) : 147 - 163
  • [28] Endogeneity bias modeling using observables
    Galvao, Antonio F.
    Montes-Rojas, Gabriel
    Song, Suyong
    [J]. ECONOMICS LETTERS, 2017, 152 : 41 - 45
  • [29] Endogeneity in survey research
    Sande, Jon Bingen
    Ghosh, Mrinal
    [J]. INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, 2018, 35 (02) : 185 - 204
  • [30] Obesity - causes and remedies
    Bunc, Vaclav
    [J]. PHYSICAL ACTIVITY REVIEW, 2016, 4 : 50 - 56