The use of multinomial choice analysis in international business research

William H Greene, Agnieszka Chidlow*, Roger Strange

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Many strategic decisions made by firms involve a choice among several discrete alternatives. International Business (IB) scholars are often interested in modelling the factors that potentially influence these (multinomial) choices: these factors might include not only characteristics of the firms making the choices but also attributes of the alternative choices. This paper provides a succinct and intuitive introduction to the possible applications of multinomial choice models in IB research. We briefly outline the theory behind discrete choice modelling, and then explain how multinomial choice models may be estimated (including how the datasets need to be formatted) and how the significance of the coefficient estimates as well as the diagnostic statistics may be tested and interpreted.
Original languageEnglish
Article number102011
Number of pages15
JournalInternational Business Review
Volume31
Issue number4
Early online date21 Apr 2022
DOIs
Publication statusPublished - Aug 2022

Bibliographical note

Funding Information:
The authors would like to express their gratitude to Paul Downward for his invaluable insights and comments on the manuscript. All errors remain our own.

Publisher Copyright:
© 2022 Elsevier Ltd

Keywords

  • Conditional logit analysis
  • Entry mode choice
  • Location choice
  • Multinomial choice analysis
  • Multinomial logit analysis

ASJC Scopus subject areas

  • Business and International Management
  • Finance
  • Marketing

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