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A comparison between mixed logit model and latent class logit model for multi-profile best-worst scaling: evidence from mobile payment choice dataset

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  • Qinxin Guo
  • Junyi Shen

Abstract

This paper uses a multi-profile best-worst scaling dataset to compare the mixed logit model and the latent class logit model for mobile payment choice. Three non-nested tests are applied to show the comparison results. The results indicate that the mixed logit model is superior to the latent class logit model in all three tests.

Suggested Citation

  • Qinxin Guo & Junyi Shen, 2022. "A comparison between mixed logit model and latent class logit model for multi-profile best-worst scaling: evidence from mobile payment choice dataset," Applied Economics Letters, Taylor & Francis Journals, vol. 29(14), pages 1300-1305, August.
    • Handle: RePEc:taf:apeclt:v:29:y:2022:i:14:p:1300-1305
    DOI: 10.1080/13504851.2021.1927955
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    Cited by:

    1. Howai, Niko & Balcombe, Kelvin & Robinson, Elizabeth J.Z., 2025. "Mangroves and economic development in Tobago: Incorporating payment horizons, choice certainty and ex-post interviews in discrete choice experiments," Ecological Economics, Elsevier, vol. 236(C).
    2. Chenyang Wang & Linxiu Wang & Tiantian Gu & Enyang Hao & Yujie Chen & Huanjie Zhang, 2024. "Evaluating Smart Community Development in China from the Perspective of Residents’ Sense of Safety: An Analysis Using Criteria Importance through Intercriteria Correlation and Fuzzy Comprehensive Eval," Land, MDPI, vol. 13(9), pages 1-21, September.

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